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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Research Project #432081

Research Project: Integrating Remote Sensing, Measurements and Modeling for Multi-Scale Assessment of Water Availability, Use, and Quality in Agroecosystems

Location: Hydrology and Remote Sensing Laboratory

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Effects of temporal resolution of river routing on hydrologic modeling and aquatic ecosystem health assessment with the SWAT model Reprint Icon - (Peer Reviewed Journal)
Qui, H., Qi, J., Lee, S., Moglen, G.E., McCarty, G.W., Chen, M., Zhang, X. 2022. Effects of temporal resolution of river routing on hydrologic modeling and aquatic ecosystem health assessment with the SWAT model. Environmental Modelling & Software. 145:105232. https://doi.org/10.1016/j.envsoft.2021.105232.

The value of water budget closure and dataset error estimation in assessing Budyko-based inferences about upland catchment behavior - (Peer Reviewed Journal)

The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets Reprint Icon - (Peer Reviewed Journal)
Li, H., Chai, L., Crow, W.T., Dong, J., Liu, S., Zhao, S. 2022. The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets. Remote Sensing of Environment. 281:113240. https://doi.org/10.1016/j.rse.2022.113240.

Remote sensing evaluation of winter cover crop springtime performance and the impact of delayed termination - (Peer Reviewed Journal)

A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data Reprint Icon - (Peer Reviewed Journal)
Bai, Y., Zhao, T., Jia, L., Cosh, M.H., Shi, J., Peng, Z., Li, X., Wigneron, J. 2022. A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data. Remote Sensing of Environment. 280:113190. https://doi.org/10.1016/j.rse.2022.113190.

Microwave-based soil moisture improves estimates of vegetation response to drought in China Reprint Icon - (Peer Reviewed Journal)
Qui, J., Crow, W.T., Dong, J., Li, Y., Garcia, M., Shangguan, W. 2022. Microwave-based soil moisture improves estimates of vegetation response to drought in China. Remote Sensing of Environment. 849:157535. https://doi.org/10.1016/j.scitotenv.2022.157535.

Leveraging pre-storm soil moisture estimates for enhanced land surface model calibration in ungauged hydrologic basins Reprint Icon - (Peer Reviewed Journal)
Crow, W.T., Dong, J., Reichle, R. 2022. Applying the SMAP Level 4 soil moisture product for land surface model calibration in ungauged hydrologic basins. Water Resources Research. 58(8):e2021WR031565. https://doi.org/10.1029/2021WR031565.

Explaining the aerodynamic versus radiometric surface temperature paradox in thermal-based evaporation modeling Reprint Icon - (Peer Reviewed Journal)
Mallick, K., Jarvis, A., Baldocchi, D., Hu, T., Trebs, I., Sulis, M., Bossung, C., Bhattarai, N., Eid, Y., Cleverly, J., Beringer, J., Woodgate, W., Slberstein, R. 2022. Explaining the aerodynamic versus radiometric surface temperature paradox in thermal-based evaporation modeling. Geophysical Research Letters. 49:e2021GL097568. https://doi.org/10.1029/2021GL097568.

Improving soil moisture assimilation efficiency via model calibration using SMAP surface soil moisture climatology information Reprint Icon - (Peer Reviewed Journal)
Zhou, J., Crow, W.T., Wu, Z., Dong, J., He, H., Feng, H. 2022. Improving soil moisture assimilation efficiency via model calibration using SMAP surface soil moisture climatology information. Remote Sensing of Environment. 280:113161. https://doi.org/10.1016/j.rse.2022.113161.

Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over United States cropland Reprint Icon - (Peer Reviewed Journal)
Zhang, C., Yang, Z., Zhao, H., Sun, Z., Di, L., Bindlish, R., Liu, P.W., Colliander, A., Mueller, R., Crow, W.T., Reichle, R., Bolten, J., Yueh, S. 2022. Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over United States cropland. International Journal of Applied Earth Observation and Geoinformation. 112:102902. https://doi.org/10.1016/j.jag.2022.102902.

Applying a wavelet transform technique to optimize general fitting models for SM analysis: A case study in downscaling over the Qinghai-Tibet Plateau Reprint Icon - (Peer Reviewed Journal)
Hu, Z., Chai, L., Crow, W.T., Liu, S., Zhu, Z., Zhou, J., Qu, Y., Yang, S., Lu, Z. 2022. Applying a wavelet transform technique to optimize general fitting models for SM analysis: A case study in downscaling over the Qinghai-Tibet Plateau. Remote Sensing. 14(13):3063. https://doi.org/10.3390/rs14133063.

Multi-frequency radiometer-based soil moisture retrieval and algorithm parameterization using in-situ sites Reprint Icon - (Peer Reviewed Journal)
Gao, Y., Colliander, A., Burgin, M., Walker, J., Dinnat, E., Chae, C., Cosh, M.H., Caldwell, T., Berg, A., Martinez-Fernandez, J., Seyfried, M.S., Starks, P.J., Bosch, D.D., Mcnairn, H., Su, Z. 2022. Multi-frequency radiometer-based soil moisture retrieval and algorithm parameterization using in-situ sites. Remote Sensing of Environment. 279:113113. https://doi.org/10.1016/j.rse.2022.113113.

Exploratory analysis of vineyard leaf water potential against sUAS multispectral and temperature information Reprint Icon - (Proceedings)
Gao, R., Alsina, M., Torres, A., Hipps, E., Kustas, W.P., White, W.A., Anderson, M.C., Alfieri, J.G., Dokoozlian, N., Nieto, H., Gao, F.N., McKee, L.G., Prueger, J.H., Sanchez, L., Mcelrone, A.J., Bambach, N., Coopmans, C., Gowing, I. 2022. Exploratory analysis of vineyard leaf water potential against sUAS multispectral and temperature information. Society of Photo-Optical Instrumentation Engineers. 7:121140K. https://doi.org/10.1117/12.2622995.

Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion Reprint Icon - (Peer Reviewed Journal)
Xue, J., Anderson, M.C., Gao, F.N., Hain, C., Knipper, K.R., Yang, Y., Kustas, W.P., Yang, Y., Bambach, N., McElrone, A.J., Castro, S., Alfieri, J.G., Prueger, J.H., McKee, L.G., Hipps, L., Alsina, M. 2022. Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion. Irrigation Science. https://doi.org/10.1007/s00271-022-00799-7.

Evaluation of satellite leaf area index in California vineyards for improving water use estimation Reprint Icon - (Peer Reviewed Journal)
Kang, Y., Gao, F.N., Anderson, M.C., Kustas, W.P., Nieto, H., Knipper, K.R., Yang, Y., White, W.A., Torres-Rua, A., Alsina, M., Karnell, A. 2022. Evaluation of satellite leaf area index in California vineyards for improving water use estimation. Irrigation Science. https://doi.org/10.1007/s00271-022-00798-8.

Application of a machine learning algorithm in generating evapotranspiration data product from thermal infrared and microwave coupled satellite observations Reprint Icon - (Peer Reviewed Journal)
Fang, L., Zhan, X., Kalluri, S., Yu, P., Hain, C., Anderson, M.C., Laszlo, I. 2022. Application of a machine learning algorithm in generating evapotranspiration data product from thermal infrared and microwave coupled satellite observations. Frontiers in Big Data. https://doi.org/10.3389/fdata.2022.768676.

Downscaling UAV land surface temperature using a coupled wavelet-machine learning-optimization algorithm and its impact on evapotranspiration and energy balance components estimated by the TSEB model - (Peer Reviewed Journal)

Comprehensive evaluation and error-component analysis of four satellite-based precipitation estimates against gauged rainfall over mainland China Reprint Icon - (Peer Reviewed Journal)
Wei, G., Lu, H., Crow, W.T., Zhu, Y., Su, J. 2022. Comprehensive evaluation and error-component analysis of four satellite-based precipitation estimates against gauged rainfall over mainland China. Advances in Meteorology. 2022:9070970. https://doi.org/10.1155/2022/9070970.

Inductive predictions of hydrologic events using a Long Short-Term Memory Network and the Soil and Water Assessment Tool Reprint Icon - (Peer Reviewed Journal)
Majeske, N., Zhang, X., Gong, L., Zhu, C., Azad, A. 2022. Inductive predictions of hydrologic events using a Long Short-Term Memory Network and the Soil and Water Assessment Tool. Environmental Modelling & Software. 152:105400. https://doi.org/10.1016/j.envsoft.2022.105400.

Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations Reprint Icon - (Peer Reviewed Journal)
Lei, F., Senyurek, V., Kurum, M., Gurbuz, A., Boyd, D., Moorhead, R., Crow, W.T., Eroglu, O. 2022. Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations. Remote Sensing of Environment. 276:113041. https://doi.org/10.1016/j.rse.2022.113041.

Stormwater management adaptation pathways under climate change and urbanization - (Peer Reviewed Journal)

Improved daily evapotranspiration estimation using remotely sensed data in a data fusion system Reprint Icon - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Xue, J., Knipper, K.R., Hain, C. 2022. Improved daily evapotranspiration estimation using remotely sensed data in a data fusion system. Remote Sensing. 14(8):1772. https://doi.org/10.3390/rs14081772.

Thermal hydraulic disaggregation of SMAP soil moisture over continental United States Reprint Icon - (Peer Reviewed Journal)
Liu, P., Bindlish, R., O'Neil, P., Fang, B., Lakshmi, V., Yang, Z., Cosh, M.H., Bongiovanni, T., Holifield Collins, C.D., Starks, P.J., Prueger, J.H., Bosch, D.D., Seyfried, M.S., Williams, M.R. 2022. Thermal hydraulic disaggregation of SMAP soil moisture over continental United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:4072-4093. https://doi.org/10.1109/JSTARS.2022.3165644.

Evaluating different metrics from the thermal-based Two-Source Energy Balance model for monitoring grapevine water stress Reprint Icon - (Peer Reviewed Journal)
Nieto, H., Alsina, M., Kustas, W.P., Garcia-Tejera, O., Chen, F., Bambach, N., Gao, F.N., Alfieri, J.G., Hipps, L.E., Prueger, J.H., Mckee, L.G., Zhan, E., Bou-Zeid, E., Mcelrone, A.J., Castro, S., Dokoozlian, N. 2022. Evaluating different metrics from the thermal-based Two-Source Energy Balance model for monitoring grapevine water stress. Irrigation Science. https://doi.org/10.1007/s00271-022-00790-2.

Application of a remote sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards Reprint Icon - (Peer Reviewed Journal)
Burchard-Levine, V., Nieto, H., Kustas, W.P., Gao, F.N., Alfieri, J.G., Prueger, J.H., Hipps, L.E., Bambach, N., McElrone, A.J., Castro, S., Alsinam., McKee, L.G., Zhan, E. 2022. Application of a remote sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards. Irrigation Science. https://doi.org/10.1007/s00271-022-00787-x.

Can surface soil moisture information identify landscape evapotranspiration regime transitions Reprint Icon - (Peer Reviewed Journal)
Dong, J., Akbar, R., Gianotti, D., Feldman, A., Crow, W.T., Entekhabi, D. 2022. Can surface soil moisture information identify landscape evapotranspiration regime transitions. Geophysical Research Letters. 49:e2021GL097697. https://doi.org/10.1029/2021GL097697.

The complementary uses of Sentinel1A SAR and ECOSTRESS datasets to identify vineyard growth and conditions: a case study in Sonoma County, California Reprint Icon - (Peer Reviewed Journal)
Davitt, A., Tesser, D., Gamarro, H., Anderson, M.C., Knipper, K.R., Xue, J., Kustas, W.P., Alsina, M., Podest, E., McDonald, K. 2022. The complementary uses of Sentinel1A SAR and ECOSTRESS datasets to identify vineyard growth and conditions: a case study in Sonoma County, California. Irrigation Science. https://doi.org/10.1007/s00271-022-00781-3.

Estimation of bell pepper evapotranspiration using two-source energy balance model based on high-resolution thermal and visible imagery from unmanned aerial vehicles Reprint Icon - (Peer Reviewed Journal)
Tunca, E., Koksai, E.S., Torres, A., Kustas, W.P., Nieto, H. 2022. Estimation of bell pepper evapotranspiration using two-source energy balance model based on high-resolution thermal and visible imagery from unmanned aerial vehicles. Journal of Applied Remote Sensing (JARS). 16(2):022204-1-16. https://doi.org/10.1117/1.JRS.16.022204.

The vertical turbulent structure within the surface boundary layer above vineyards in California’s Central Valley during GRAPEX Reprint Icon - (Peer Reviewed Journal)
Alfieri, J.G., Prueger, J.H., Kustas, W.P., Hipps, L.E., Bambach, N., Mckee, L.G. 2022. The vertical turbulent structure within the surface boundary layer above vineyards in California’s Central Valley during GRAPEX. Irrigation Science. https://doi.org/10.1007/s00271-022-00779-x.

Evaluating soil moisture monitoring systems for remote sensing calibration and validation - (Abstract Only)

Impact of advection on Two-Source Energy Balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley Reprint Icon - (Peer Reviewed Journal)
Kustas, W.P., Nieto, H., Garcia-Tejera, O., Bambach, N., McElrone, A.J., Gao, F.N., Alfieri, J.G., Hipps, L., Prueger, J.H., Torres, A., Anderson, M.C.,Knipper, K.R., Alsina, M., Mckee, L.G., Zahn, E., Bou-Zeid, E., Dokoozlian, N. 2022. Impact of advection on Two-Source Energy Balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley .Irrigation Science. https://doi.org/10.1007/s00271-022-00778-y.

Applications of a thermal-based two-source energy balance model coupled to surface soil moisture Reprint Icon - (Peer Reviewed Journal)
Song, L., Ding, L., Kustas, W.P., Xu, Y., Liu, S., Ma, M., Xue, K., Bai, Y., Xu, Z. 2021. Applications of a thermal-based two-source energy balance model coupled to surface soil moisture. Remote Sensing of Environment. 271(2022):112923. https://doi.org/10.1016/j.rse.2022.112923.

Spatial–temporal modeling of root zone soil moisture dynamics using random forest and remote sensing Reprint Icon - (Peer Reviewed Journal)
Kisekka, I., Rac Peddinti, S., Kustas, W.P., McElrone, A.J., Bambach, N., McKee, L.G., Bastiaanssen, W. 2022. Spatial–temporal modeling of root zone soil moisture dynamics using random forest and remote sensing. Irrigation Science. https://doi.org/10.1007/s00271-022-00775-1.

Influence of modeling domain and meteorological forcing data on daily evapotranspiration estimates from a Shuttleworth-Wallace model using Sentinel-2 surface reflectance data Reprint Icon - (Peer Reviewed Journal)
Bhattarai, N., D'Urso, G., Kustas, W.P., Bambach, N., Anderson, M.C., Gao, F.N., Alsina, M., Aboutalebi, M., McKee, L.G., Alfieri, J.G., McElrone, A., Prueger, J.H., Belfiore, O. 2022. Influence of modeling domain and meteorological forcing data on spectral-based Shuttleworth-Wallace derived daily evapotranspiration estimates using Sentinel-2. Irrigation Science. https://doi.org/10.1007/s00271-022-00768-0.

Characterizing the spatial heterogeneity in a river corridor to evaluate its impact on evapotranspiration estimates using the TSEB Model and sUAS information Reprint Icon - (Peer Reviewed Journal)
Nassar, A., Torres-Rua, A., Hipps, L.E., Kustas, W.P., McKee, M., Stevens, D., Nieto, H., Keller, D., Gowing, I., Coopmans, C. 2022. Characterizing the spatial heterogeneity in a river corridor to evaluate its impact on evapotranspiration estimates using the TSEB Model and sUAS information. Remote Sensing. https://doi.org/10.3390/rs14020372.

Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China Reprint Icon - (Peer Reviewed Journal)
Zheng, J., Zhao, T., Lu, H., Shi, J., Cosh, M.H., Ji, D., Jiang, L., Cui, Q., Lu, H., Yang, K., Wigneron, J., Li, X., Zhu, Y., Hu, L., Wang, X., Kern, S. 2022. Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China. Remote Sensing of Environment. 271:112891. https://doi.org/10.1016/j.rse.2022.112891.

Validity and reliability of drought reporters in estimating soil water content and drought impacts in Central Europe Reprint Icon - (Peer Reviewed Journal)
Bartošová, L., Fischer, M., Balek, J., Bláhová, M., Kudlácková,, L., Chuchma, F., Hlavinka, P., Možný, M., Zahradnícek, P., Wall, N., Hayes, M., Hain, C., Anderson, M.C., Wagner, W., Žalud, Z., Trnka, M. 2022. Validity and reliability of drought reporters in estimating soil water content and drought impacts in Central Europe . Agricultural and Forest Meteorology. 315:108808. https://doi.org/10.1016/j.agrformet.2022.108808.

CMIP6 summertime warm bias in central CONUS due to the relative neglect of transpiration from local vegetation Reprint Icon - (Peer Reviewed Journal)
Dong, J., Lei, F., Crow, W.T. 2022. CMIP6 summertime warm bias in central CONUS due to the relative neglect of transpiration from local vegetation. Nature Communications. 13:336. https://doi.org/10.1038/s41467-021-27938-6.

Direct partitioning of eddy covariance water and carbon dioxide fluxes into ground and plant components Reprint Icon - (Peer Reviewed Journal)
Zahn, E., Bou-Zeid, E., Good, S., Katul, G., Khaled, G., Snith, J., Chamecki, M., Dias, N., Fuentes, J., Alfieri, J.G., Caylor, K., Soderberg, K., Goa, Z., Bambach, N., Hipps, L.E., Prueger, J.H., Kustas, W.P. 2022. Direct partitioning of eddy covariance water and carbon dioxide fluxes into ground and plant components. Agricultural and Forest Meteorology. 315:10879. https://doi.org/10.1016/j.agrformet.2021.108790.

Diagnostic classification of flash drought events reveals distinct classes of forcings and impacts Reprint Icon - (Peer Reviewed Journal)
Osman, M., Zaitchik, B., Badr, H., Otkin, J., Zhong, Y., Lorenz, D., Anderson, M.C., Keenan, T., Miller, D., Hain, C., Holmes, T. 2022. Diagnostic classification of flash drought events reveals distinct classes of forcings and impacts. Journal of Hydrometeorology. 23(2):275–289. https://doi.org/10.1175/JHM-D-21-0134.1.

Towards routine mapping of crop emergence within the season using the Harmonized Landsat and Sentinel-2 dataset Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Johnson, D., Seffrin, R., Wardlow, B., Suyker, A., Diao, C., Browning, D.M. 2021. Towards routine mapping of crop emergence within the season using the Harmonized Landsat and Sentinel-2 dataset. Remote Sensing. 13(24):5074 https://doi.org/10.3390/rs13245074.

Analyzing effects of crops on SMAP satellite-based soil moisture using a rainfall–runoff model in the U.S. Corn Belt Reprint Icon - (Peer Reviewed Journal)
Jadidoleslam, N., Hornbuckle, B., Mantilla, R., Krajewski, W., Cosh, M.H. 2021. Analyzing effects of crops on SMAP satellite-based soil moisture using a rainfall–runoff model in the U.S. Corn Belt. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:247-260. https://doi.org/10.1109/JSTARS.2021.3131133.

An inverse dielectric mixing model at 50MHz for soil water characterization of agricultural soil carbon Reprint Icon - (Peer Reviewed Journal)
Park, C.H., Berg, A., Cosh, M.H., Colliander, A., Behrendt, A., Manns, H., Hong, J., Lee, J., Wulfmeyer, V. 2021. An inverse dielectric mixing model at 50MHz for soil water characterization of agricultural soil carbon. Hydrology and Earth System Sciences. 25(12):6407-6420. https://doi.org/10.5194/hess-25-6407-2021.

Investigating the efficacy of the SMAP downscaled soil moisture product for drought monitoring based on information theory Reprint Icon - (Peer Reviewed Journal)
Wu, Z., Qiu, J., Crow, W.T. 2021. Investigating the efficacy of the SMAP downscaled soil moisture product for drought monitoring based on information theory. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:1604-1616. https://doi.org/10.1109/JSTARS.2021.3136565.

3SEB: a remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems Reprint Icon - (Peer Reviewed Journal)
Burchard-Levine, V., Nieto, H., Riano, D., Kustas, W.P., Migliavacca, M., El-Madany, T., Nelson, J., Andreu, A., Carrara, A., Beringer, J., Baldocchi, D., Pilar Martin, M. 2022. 3SEB: a remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems. Global Change Biology. https://doi.org/https://doi.org/10.1111/gcb.16002.

From the Paleolithic to the Islamic Era in Wilayat Yanqul (ArWHO Survey 2011-2018) - (Peer Reviewed Journal)
Harrower, M., Smiti, N., Dumitru, I., Lehner, J.W., Dollarhide, E., Wiig, F., Sivitskis, A.J., David-Cuny, H., Swerida, J.L., Mazzariello, J., Crassard, R., Buffington, A., Taylor, S., Anderson, M.C., Al-Jabir, S. 2022. From the Paleolithic to the Islamic Era in Wilayat Yanqul (ArWHO Survey 2011-2018). Journal of Oman Studies. 22.

Flux-data-qaqc: A Python package for energy balance closure and post-processing of eddy flux data Reprint Icon - (Peer Reviewed Journal)
Volk, J., Huntington, J., Allen, R.G., Melton, F., Anderson, M.C., Kilic, A. 2021. Flux-data-qaqc: A Python package for energy balance closure and post-processing of eddy flux data. Journal of Open Source Software. 6(66):3418. https://doi.org/10.21105/joss.03418.

Time-series clustering of remote-sensing retrievals for defining management zones in a vineyard Reprint Icon - (Peer Reviewed Journal)
Ohana-Levi, N., Gao, F.N., Knipper, K.R., Kustas, W.P., Anderson, M.C., Alsina, M., Sanchez, L., Kameli, A. 2021. Time-series clustering of remote-sensing retrievals for defining management zones in a vineyard. Irrigation Science. https://doi.org/10.1007/s00271-021-00752-0.

Calibration and validation for the L2/3_SM_P version 8 and L2/3_SM_P_E version 5 data products - (Government Publication)
O’Neill, P., Chan, S., Bindlish, R., Chaubell, M., Colliander, A., Chen, F., Dunbar, S.. Jackson, T., Peng, J., Mousavi, M., Cosh, M., Bongiovanni, T., Walker, J., Wu, X., Berg, A., McNairn, H., Thibeault, M., Martínez-Fernández, J., González-Zamora, A., Lopez-Baeza, E., Jensen, K., Seyfried, M., Bosch, D., Starks, P., Holifield Collins, C., Prueger, J., Su, Z., van der Velde, R., Asanuma, J., Palecki, M., Small, E., Zreda, M., Calvet, J., Crow, W., Kerr, Y., Yueh, S., and Entekhabi, D., October 12, 2021. Calibration and Validation for the L2/3_SM_P Version 8 and L2/3_SM_P_E Version 5 Data Products, SMAP Project, JPL D-56297, Jet Propulsion Laboratory, Pasadena, CA.

Coupling terrestrial and aquatic thermal processes for improving stream temperature modeling at watershed scale Reprint Icon - (Peer Reviewed Journal)
Qi, Y., Lee, S., Du, X., Ficklin, D., Wang, Q., Myers, D., Singh, D., Moglen, G.E., McCarty, G.W., Zhou, Y., Zhang, X. 2021. Coupling terrestrial and aquatic thermal processes for improving stream temperature modeling at watershed scale. Journal of Hydrology. 603:126983. https://doi.org/10.1016/j.jhydrol.2021.126983.

Determining evapotranspiration by using combination equation models with Sentinel-2 data and comparison with thermalbased energy balance in a California irrigated vineyard Reprint Icon - (Peer Reviewed Journal)
D'Urso, G., Falanga, B., Kustas, W.P., Knipper, K.R., Anderson, M.C., Alsina, M., Hain, C., Alfieri, J.G., Prueger, J.H., Gao, F.N., McKee, L.G., De Michele, C., Mcelrone, A.J. 2021. Determining evapotranspiration by using combination equation models with Sentinel-2 data and comparison with thermalbased energy balance in a California irrigated vineyard. Remote Sensing. 13(18):3720. https://doi.org/10.3390/rs13183720.

Evapotranspiration estimation and scaling effects on water resources management over a Mediterranean oak savanna in southern Spain Reprint Icon - (Peer Reviewed Journal)
Carpintero, E., Anderson, M.C., Andreu, A., Hain, C., Gao, F.N., Kustas, W.P., Gonzalez-Dugo, M.P. 2021. Evapotranspiration estimation and scaling effects on water resources management over a Mediterranean oak savanna in southern Spain. Agricultural Water Management. 13(18):3701. https://doi.org/10.3390/rs13183701.

Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data Reprint Icon - (Peer Reviewed Journal)
Zhang, X., Gao, F.N., Wang, J., Ye, Y. 2021. Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data. International Journal of Applied Earth Observation and Geoinformation. 104:102545. https://doi.org/10.1016/j.jag.2021.102545.

Hybrid phenology matching model to retrieve crop phenological stages Reprint Icon - (Peer Reviewed Journal)
Diao, C., Yang, Z., Gao, F.N. 2021. Hybrid phenology matching model to retrieve crop phenological stages. Journal of Photogrammetry and Remote Sensing. 181:308-326. https://doi.org/10.1016/j.isprsjprs.2021.09.011.

Agricultural and food security impacts from the 2010 Russia flash drought Reprint Icon - (Peer Reviewed Journal)
Hunt, E., Femia, F., Werrell, C., Christian, J., Otkin, J., Basara, J., Anderson, M.C., White, T., Hain, C., Randall, R., Mcgaughey, K. 2021. Agricultural and food security impacts from the 2010 Russia flash drought. Weather and Climate Extremes. 34:100383. https://doi.org/10.1016/j.wace.2021.100383.

OpenET: Filling the biggest data gap in water management for the Western United States Reprint Icon - (Peer Reviewed Journal)
Melton, F., Huntington, J., Grimm, R., Herring, J., Hall, M., Rollison, D., Allen, R.G., Anderson, M.C., Blankenau, P., Bromley, M., Daudert, B., Doherty, C., Dunkerly, C., Fisher, J., Friedrichs, M., Guzman, A., Hain, C., Halverson, G., Hansen, J., Harding, J., Johnson, L., Kang, Y., Kilic, A., Minor, B., Morton, C., Ortega-Salazar, S., Ott, T., Ozdogan, M., Revelle, P., Ruhoff, A., Schull, M., Senay, G., Volk, J., Wang, C., Yang, Y., Anderson, R.G. 2021. OpenET: Filling the biggest data gap in water management for the Western United States. Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.12956.

Predicting rapid changes in Evaporative Stress Index (ESI) and soil moisture anomalies over the continental United States Reprint Icon - (Peer Reviewed Journal)
Lorenz, D., Otkin, J., Zaitchik, B.F., Hain, C., Anderson, M.C. 2021. Predicting rapid changes in Evaporative Stress Index (ESI) and soil moisture anomalies over the continental United States. Journal of Hydrometeorology. 22(11):3017–3036. https://doi.org/10.1175/JHM-D-20-0289.1.

Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region Reprint Icon - (Peer Reviewed Journal)
Zheng, J., Lu, H., Crow, W.T., Zhao, T., Merlin, O., Rodriguez-Fernandez, N., Shi, J., Zhu, Y., Su, J., Kang, J., Wang, X., Gou, Q. 2021. Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region. International Journal of Applied Earth Observation and Geoinformation. 104:102530. https://doi.org/10.1016/j.jag.2021.102530.

Evaluation of SWIR Crop Residue Bands for the Landsat Next Mission Reprint Icon - (Peer Reviewed Journal)
Hively, W., Lamb, B., Daughtry, C.S., Serbin, G., Dennison, P., Kokaly, R., Wu, Z., Masek, J. 2021. Evaluation of SWIR Crop Residue Bands for the Landsat Next Mission for the Landsat Next mission. Remote Sensing. 13(18). https://doi.org/10.3390/rs13183718.

Evaluation of a CONUS-wide ECOSTRESS DisALEXI evapotranspiration product Reprint Icon - (Peer Reviewed Journal)
Cawse-Nicholson, K., Anderson, M.C., Yang, Y., Yang, Y., Hook, S., Fisher, J., Halverson, G., Hulley, G., Hain, C., Brunsell, N., Desai, A.R., Novick, K.A. 2021. Evaluation of a CONUS-wide ECOSTRESS DisALEXI evapotranspiration product. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:10117-10133. https://doi.org/10.1109/JSTARS.2021.3111867.

Mapping daily evapotranspiration at field scale using the Harmonized Landsat and Sentinel-2 dataset, with sharpened VIIRS as a Sentinel-2 thermal proxy Reprint Icon - (Peer Reviewed Journal)
Xue, J., Anderson, M.C., Gao, F.N., Hain, C., Yang, Y., Knipper, K.R., Kustas, W.P., Yang, Y. 2021. Mapping daily evapotranspiration at field scale using the Harmonized Landsat and Sentinel-2 dataset, with sharpened VIIRS as a Sentinel-2 thermal proxy. Remote Sensing. 13:3420. https://doi.org/10.3390/rs13173420.

Expanding the application of soil moisture monitoring systems through regression-based transformation Reprint Icon - (Peer Reviewed Journal)
Crow, W.T., Reichle, R., Dong, J. 2021. Expanding the application of soil moisture monitoring systems through regression-based transformation. Journal of Hydrometeorology. 22(10):2601-2615. https://doi.org/10.1175/JHM-D-21-0061.1.

Studying drought-induced forest mortality using high spatiotemporal resolution evapotranspiration data from thermal satellite imaging Reprint Icon - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Wood, J.D., Gu, L., Hain, C. 2021. Studying drought-induced forest mortality using high spatiotemporal resolution evapotranspiration data from thermal satellite imaging. Remote Sensing of Environment. 265:112640. https://doi.org/10.1016/j.rse.2021.112640.

Achieving breakthroughs in global hydrologic science by unlocking the power of multi-sensor, multi-disciplinary earth observations Reprint Icon - (Peer Reviewed Journal)
Durand, M., Barros, A., Dozier, J., Alder, R., Cooley, S., Entekhabi, D., Konings, A., Kustas, W.P., Lundquist, J., Pavelsky, T., Rodell, M., Forman, B., Steele-Dunne, S. 2021. Achieving breakthroughs in global hydrologic science by unlocking the power of multi-sensor, multi-disciplinary earth observations. AGU Advances. https://doi.org/10.1029/2021AV000455.

Assessing methodologies for daily evapotranspiration estimation from sUAS over commercial vineyards in California Reprint Icon - (Peer Reviewed Journal)
Nassar, A., Torres, A., Kustas, W.P., McKee, M., Alfieri, J.G., Hipps, L.E., Prueger, J.H., Nieto, H., Alsina, M., White, W.A., McKee, L.G., Coopmans, C., Sanchez, L., Dokoozlian, N. 2021. Assessing methodologies for daily evapotranspiration estimation from sUAS over commercial vineyards in California. Remote Sensing. 13(15):2887. https://doi.org/10.3390/rs13152887.

Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic Reprint Icon - (Peer Reviewed Journal)
Jurecka, F., Fischer, M., Havinka, P., Balek, J., Sameradova, D., Blahova, M., Anderson, M.C., Hain, C., Zalud, Z., Trnka, M. 2021. Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic. Agricultural Water Management. 256:107064. https://doi.org/10.1016/j.agwat.2021.107064.

Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset Reprint Icon - (Peer Reviewed Journal)
Judge, J., Lui, P., Monsivais-Huertero, A., Bongiovanni, T., Chakrabarti, S., Steele-Dunne, S., Preston, D., Allen, S., Bermejo, J.P., Rush, P., Deroo, R., Colliander, A., Cosh, M.H. 2021. Impact of vegetation water content information on soil moisture retrievals in agricultural regions: An analysis based on the SMAPVEX16-MicroWEX dataset. Remote Sensing of Environment. 265:112623. https://doi.org/10.1016/j.rse.2021.112623.

Understanding temporal stability: A long-term analysis of USDA ARS watersheds Reprint Icon - (Peer Reviewed Journal)
Coopersmith, E., Cosh, M.H., Starks, P.J., Bosch, D.D., Holifield Collins, C.D., Seyfried, M.S., Livingston, S.J., Prueger, J.H. 2021. Understanding temporal stability: A long-term analysis of USDA ARS watersheds. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2021.1943550.

Uncertainty assessment of multi-parameter, multi-GCM, and multi-RCP simulations for streamflow and non-floodplain wetland (NFW) water storage Reprint Icon - (Peer Reviewed Journal)
Lee, S., Qi, J., McCarty, G.W., Yeo, I., Zhang, X., Moglen, G.E., Du, L. 2021. Uncertainty assessment of multi-parameter, multi-GCM, and multi-RCP simulations for streamflow and non-floodplain wetland (NFW) water storage. Journal of Hydrology. 600:126564. https://doi.org/10.1016/j.jhydrol.2021.126564.

Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites Reprint Icon - (Peer Reviewed Journal)
Khan, A., Stoy, P., Douglas, J., Anderson, M.C., Diak, G., Otkin, J., Hain, C., Rehbein, E., Mccorkel, J. 2021. Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites. Biogeosciences. 18(13):4117–4141. https://doi.org/10.5194/bg-18-4117-2021.

Development of a flash drought intensity index Reprint Icon - (Peer Reviewed Journal)
Otkin, J., Zhong, Y., Hunt, E.D., Christian, J., Basara, J., Nguyen, H., Wheeler, M., Ford, T.W., Hoell, A., Svoboda, M., Anderson, M.C. 2021. Development of a flash drought intensity index . Environmental Research Letters. 12(6):741. https://doi.org/10.3390/atmos12060741.

Sentinel-1 soil moisture at 1km resolution: a validation study Reprint Icon - (Peer Reviewed Journal)
Balenzano, A., Mattia, F., Satalino, G., Lovergine, F., Palmisano, D., Peng, J., Marzahn, P., Wegmuller, U., Cartus, O., Dabrowska-Zielinska, K., Musial, J., Davidson, M.J., Cosh, M.H. 2021. Sentinel-1 soil moisture at 1km resolution: a validation study. Remote Sensing of Environment. 263:112554. https://doi.org/10.1016/j.rse.2021.112554.

Validation of soil moisture data products from the NASA SMAP mission Reprint Icon - (Peer Reviewed Journal)
Colliander, A. Reichle, R.H., Crow, W.T., Cosh, M.H., Chen, F., Chan, S., Das, N., Bindlish, R., Chaubell, M.J., Kim, S.B., Liu, Q., O’Neill, P., Dunbar, R.S., Dang, L., Kimball, J., Jackson, T.J., al Jassar, J.K., Asanuma, J., Bhattacharya, B.K., Berg, A., Bosch, D.D., Bourgeau-Chavez, L., Caldwell, T., Calvet, J-C., Dorigo, W., Holifield Collins, C., Jensen, K., Livingston, S., Lopez-Baeza, E., Martínez-Fernández, J., McNairn, H., Moghaddam, M., Montzka, C., Notarnicola, C., Pellarin, T., Prueger, J., Pulliainen, J., Ramos, J., Seyfried, M., Starks, P., Su, Z., van der Velde, R., Zeng, Y., Thibeault, M., Walker, J.P., Zribi, M., Entekhabi, D., and Yueh, S. 2022. Validation of Soil Moisture Data Products from the NASA SMAP Mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15:364-392. https://doi.org/10.1109/JSTARS.2021.3124743.

Rootzone soil moisture comparisons: AirMOSS, SMERGE and SMAP Reprint Icon - (Peer Reviewed Journal)
Tobin, K., Crow, W.T., Bennett, M. 2021. Rootzone soil moisture comparisons: AirMOSS, SMERGE and SMAP. Geoscience and Remote Sensing Letters. 19:1-5. https://doi.org/10.1109/LGRS.2021.3085432.

A long term global daily soil moisture dataset derived from AMSR-E/2 (2002-2019) Reprint Icon - (Peer Reviewed Journal)
Yao, P., Lu, H., Shi, J., Zhao, T., Yang, K., Cosh, M.H., Short-Gianotti, D.J., Entekhabi, D. 2021. A long term global daily soil moisture dataset derived from AMSR-E/2 (2002-2019). Scientific Data. 8:143. https://doi.org/10.6084/m9.figshare.14533554.

A decadal (2008-2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion Reprint Icon - (Peer Reviewed Journal)
Zhang, C., Long, D., Zhang, Y., Anderson, M.C., Kustas, W.P., Yang, Y. 2021. A decadal (2008-2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion. Remote Sensing of Environment. 262:112519. https://doi.org/10.1016/j.rse.2021.112519.

Assessment of SMOS and SMAP soil moisture products against calibrated land surface model output over the Huai river basin Reprint Icon - (Peer Reviewed Journal)
Wang, X., Lu, H., Crow, W.T., Zhu, Y., Su, J. 2021. Assessment of SMOS and SMAP soil moisture products against calibrated land surface model output over the Huai river basin. Journal of Hydrology. 598:126468. https://doi.org/10.1016/j.jhydrol.2021.126468.

A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors Reprint Icon - (Peer Reviewed Journal)
Zhou, J., Crow, W.T., Wu, Z., Dong, J., He, H., Feng, H. 2021. A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors. Remote Sensing of Environment. 263:112509. https://doi.org/10.1016/j.rse.2021.112509.

Developing a strategy for the National Coordinated Soil Moisture Monitoring Network Reprint Icon - (Research Technical Update)
Cosh, M.H., Caldwell, T., Baker, B., Bolten, J., Edwards, N., Goble, P., Hofman, H., Ochsner, T., Quiring, S.M., Schalk, C., Skumanich, M., Svoboda, M., Woloszyn, M. 2021. Developing a strategy for the National Coordinated Soil Moisture Monitoring Network . Vadose Zone Journal. 20:4. https://doi.org/10.1002/vzj2.20139.

Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones Reprint Icon - (Peer Reviewed Journal)
Rouze, G., Neely, H., Morgan, C., Kustas, W.P., Wiethorn, M. 2021. Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones. Precision Agriculture. https://doi.org/10.1007/s11119-021-09816-9.

Assimilation of satellite soil moisture products for river flow prediction: An extensive experiment in over 700 catchments throughout Europe Reprint Icon - (Peer Reviewed Journal)
De Santis, D., Blondi, D., Crow, W.T., Camici, S., Mondanesi, S., Brocca, L., Massari, C. 2021. Assimilation of satellite soil moisture products for river flow prediction: An extensive experiment in over 700 catchments throughout Europe. Water Resources Research. 57.e2021WR029643. https://doi.org/10.1029/2021WR029643.

Multiscale assessment of agricultural consumptive water use in California's central valley Reprint Icon - (Peer Reviewed Journal)
Wong, A., Jin, Y., Medellin-Azuara, J., Paw, K., Kent, E., Clay, J., Gao, F.N., Fisher, J., Rivera, G., Lee, C., Hemes, K., Echelmann, E., Baldocchi, D., Hook, S. 2021. Multiscale assessment of agricultural consumptive water use in California's central valley. Water Resources Research. 5. https://doi.org/10.1029/2020WR028876.

Evaluating NISAR’s cropland area algorithm over the conterminous United States using Sentinel-1 data Reprint Icon - (Peer Reviewed Journal)
Rose, S., Kraatz, S., Kellndorfer, J., Cosh, M.H., Torbick, N., Huang, X., Siqueira, P. 2021. Evaluating NISAR’s cropland area algorithm over the conterminous United States using Sentinel-1 data. Remote Sensing of Environment. 260:112472. https://doi.org/10.1016/j.rse.2021.112472.

SMAP radiometer soil moisture downscaling using VIIRS/MODIS data in CONUS Reprint Icon - (Peer Reviewed Journal)
Fang, B., Lakshmi, V., Cosh, M.H., Hain, C. 2021. SMAP radiometer soil moisture downscaling using VIIRS/MODIS data in CONUS. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:4946-4965. https://doi.org/10.1109/JSTARS.2021.3076026.

Characterizing wetland inundation and vegetation dynamics in the arctic coastal plain using recent satellite data and field photos Reprint Icon - (Peer Reviewed Journal)
Zou, Z., Devries, B., Huang, C., Lang, M.W., McCarty, G.W., Thielke, S., Robertson, A., Knopt, J., Du, L. 2012. Characterizing wetland inundation and vegetation dynamics in the arctic coastal plain using recent satellite data and field photos. Remote Sensing. 13(8):1492. https://doi.org/10.3390/rs13081492.

From standard weather stations to virtual micro-meteorological towers: real-time modeling tool for surface energy fluxes, evapotranspiration, soil temperature and soil moisture estimations Reprint Icon - (Peer Reviewed Journal)
Celis, J.A., Moreno, H.A., Basara, J., Mcpherson, R., Cosh, M.H., Ochsner, T., Xia0, X. 2021. From standard weather stations to virtual micro-meteorological towers: real-time modeling tool for surface energy fluxes, evapotranspiration, soil temperature and soil moisture estimations . Remote Sensing. 13(7):1271. https://doi.org/10.3390/rs13071271.

High-resolution soil moisture maps over landslide regions in northern California grassland derived from SAR backscattering coefficients Reprint Icon - (Peer Reviewed Journal)
Liao, T., Kim, S., Handwerger, A., Fielding, E., Cosh, M.H., Schulz, W. 2021. High-resolution soil moisture maps over landslide regions in northern California grassland derived from SAR backscattering coefficients. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:4547-4560. https://doi.org/10.1109/JSTARS.2021.3069010.

Estimation of the leaf area index from Landsat over the contiguous US Reprint Icon - (Peer Reviewed Journal)
Kang, Y., Ozdogan, M., Gao, F.N., Anderson, M.C., White, W.A., Yang, Y., Yang, Y., Erickson, T. 2021. Estimation of the leaf area index from Landsat over the contiguous US. Remote Sensing of Environment. 258:112383. https://doi.org/10.1016/j.rse.2021.112383.

Mapping crop phenology in near real-time using satellite remote sensing: challenges and opportunities Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Zhang, X. 2021. Mapping crop phenology in near real-time using satellite remote sensing: challenges and opportunities. Journal of Remote Sensing. 2021:14. https://doi.org/10.34133/2021/8379391.

Utility of remotely sensed evapotranspiration products on assessing an improved model structure Reprint Icon - (Peer Reviewed Journal)
Lee, S., Qi, J., Kim, H., McCarty, G.W., Moglen, G.E., Anderson, M.C., Zhang, X., Du, L. 2021. Utility of remotely sensed evapotranspiration products on assessing an improved model structure. Sustainability. 13(4):2375 .https://doi.org/10.3390/su13042375.

The added value of brightness temperature assimiilation for the the SMAP Level-4 surface and root-zone soil moisture analysis over mainland China Reprint Icon - (Peer Reviewed Journal)
Qui, J., Dong, J., Crow, W.T., Zhang, X., Reichie, R., De Lannoy, G. 2021. The added value of brightness temperature assimiilation for the the SMAP Level-4 surface and root-zone soil moisture analysis over mainland China. Hydrology and Earth System Sciences. 25(3):1569–1586. https://doi.org/10.5194/hess-25-1569-2021.

Sustainable use of groundwater may dramatically reduce irrigated production of maize, soybean, and wheat Reprint Icon - (Peer Reviewed Journal)
Lopez, J., Winter, J., Elliott, J., Ruane, A., Porter, C., Hoogenboom, G., Anderson, M.C., Hain, C. 2022. Sustainable use of groundwater dramatically reduces maize, soybean, and wheat production. Proceedings of the National Academy of Sciences (PNAS). 10(1):e2021EF002018. https://doi.org/10.1029/2021EF002018.

Comparison between dense L-band and C-band Synthetic Aperture Radar (SAR) time series for crop area mapping over a NISAR calibration-validation site Reprint Icon - (Peer Reviewed Journal)
Kraatz, S., Torbick, N., Jiao, X., Huang, X., Dingle Robertson, L., Davidson, A., Mcnaim, H., Cosh, M.H., Siqueira, P. 2021. Comparison between dense L-band and C-band Synthetic Aperture Radar (SAR) time series for crop area mapping over a NISAR calibration-validation site. Agronomy. 11(2):273. https://doi.org/10.3390/agronomy11020273.

L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand Reprint Icon - (Peer Reviewed Journal)
Holtzman, N., Anderegg, L.L., Kraatz, S., Mavrovic, A., Sonnentag, O., Pappas, C., Cosh, M.H., Langlois, A., Lakhankar, T., Tesser, D., Steiner, N., Colliander, A., Roy, A., Konings, A. 2021. L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand. Biogeosciences. 18(2):739-753. https://doi.org/10.5194/bg-18-739-2021.

Phenological corrections to a field-scale, ET-based crop stress indicator: an application to yield forecasting across the U.S. Corn Belt Reprint Icon - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Johnson, D., Yang, Y., Sun, L., Dulaney, W.P., Hain, C., Otkin, J., Prueger, J.H., Meyers, T., Bernacchi, C.J., Moore, C. 2021. Phenological corrections to a field-scale, ET-based crop stress indicator: an application to yield forecasting across the U.S. Corn Belt. Remote Sensing of Environment. 257:112337. https://doi.org/10.1016/j.rse.2021.112337.

Energy partitioning between plant canopy and soil, performance of the two-source energy balance model in a vineyard Reprint Icon - (Peer Reviewed Journal)
Kool, D., Kustas, W.P., Ben-Gal, A., Agam, N. 2021. Energy partitioning between plant canopy and soil, performance of the two-source energy balance model in a vineyard. Agricultural and Forest Meteorology. 300:108328. https://doi.org/10.1016/j.agrformet.2021.108328.

The contribution of gauge-based precipitation and SMAP brightness temperature observations to the skill of the SMAP Level-4 soil moisture product Reprint Icon - (Peer Reviewed Journal)
Reichle, R., Liu, Q., Ardizzone, J., Crow, W.T., Dong, J., De Lannoy, G., Kimball, J., Koster, R. 2021. The contribution of gauge-based precipitation and SMAP brightness temperature observations to the skill of the SMAP Level-4 soil moisture product. Journal of Hydrometeorology. 22(2):405–424. https://doi.org/10.1175/JHM-D-20-0217.1.

Surface soil moisture retrievals under forest canopy for L-band SAR observations across a wide range of incidence angles by inverting a physical scattering model Reprint Icon - (Peer Reviewed Journal)
Kurum, M., Kim, S., Akbar, R., Cosh, M.H. 2020. Surface soil moisture retrievals under forest canopy for L-band SAR observations across a wide range of incidence angles by inverting a physical scattering model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:1741-1753. https://doi.org/10.1109/JSTARS.2020.3047883.

Assessing disaggregated SMAP soil moisture products in the United States Reprint Icon - (Peer Reviewed Journal)
Liu, P., Bindlish, R., Fang, B., Lakshmi, V., O'Neill, P., Yang, Z., Cosh, M.H., Bongiovqnni, T., Bosch, D.D., Holifield Collins, C.D., Starks, P.J., Prueger, J.H., Seyfried, M.S., Livingston, S.J. 2021. Assessing disaggregated SMAP soil moisture products in the United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14:2577-2592. https://doi.org/10.1109/JSTARS.2021.3056001.

Flash droughts over the contiguous United States: Sensitivity of inventories and trends to quantitative definitions Reprint Icon - (Peer Reviewed Journal)
Osman, M., Zaitchik, B., Badr, H., Christian, J., Tadesse, T., Otkin, J., Anderson, M.C. 2021. Flash droughts over the contiguous United States: Sensitivity of inventories and trends to quantitative definitions. Hydrology and Earth System Sciences. 25:565-581. https://doi.org/10.5194/hess-25-565-2021.

Field scale soil moisture retrieval using PALSAR-2 polarimetric decomposition and machine learning Reprint Icon - (Peer Reviewed Journal)
Huang, X., Ziniti, B., Cosh, M.H., Reba, M.L., Wang, J., Torbick, N. 2020. Field scale soil moisture retrieval using PALSAR-2 polarimetric decomposition and machine learning . Agronomy. 11(1):35. https://doi.org/10.3390/agronomy11010035.

Surface energy flux estimation in two boreal settings in Alaska using a thermal-based remote sensing mode Reprint Icon - (Peer Reviewed Journal)
Cristobal, J., Prakash, A., Anderson, M.C., Kustas, W.P., Alfieri, J.G., Gens, R. 2020. Surface energy flux estimation in two boreal settings in Alaska using a thermal-based remote sensing mode. Remote Sensing. 12(24):4108. https://doi.org/10.3390/rs12244108.

Performance evaluation of UAVSAR and simulated NISAR data for crop/non-crop classification over Stoneville, MS Reprint Icon - (Peer Reviewed Journal)
Kraatz, S., Rose, S., Cosh, M.H., Torbick, N., Huang, X., Siqueira, P. 2020. Performance evaluation of UAVSAR and simulated NISAR data for crop/non-crop classification over Stoneville, MS . Earth and Space Science. 8, e2020EA00136. https://doi.org/10.1029/2020EA001363.

Bridging the gap between water states and fluxes in land data assimilation systems - (Abstract Only)

Enhanced large-scale validation of satellite-based land rainfall products Reprint Icon - (Peer Reviewed Journal)
Chen, F., Crow, W.T., Ciabatta, L., Flippucci, P., Pagegrossi, G., Marra, A., Puca, S., Massari, C. 2021. Enhanced large-scale validation of satellite-based land rainfall products. Journal of Hydrometeorology. 22:245-247. https://doi.org/10.1175/JHM-D-20-0056.1.

Estimating corn canopy water content from normalized difference water index (NDWI): an optimized NDWI-based scheme and its feasibility for retrieving corn VWC Reprint Icon - (Peer Reviewed Journal)
Chai, L., Jiang, H., Crow, W.T., Liu, S., Zhao, S., Liu, J., Yang, S. 2020. Estimating corn canopy water content from normalized difference water index (NDWI): an optimized NDWI-based scheme and its feasibility for retrieving corn VWC. IEEE Transactions on Geoscience and Remote Sensing. 1-14. https://doi.org/10.1109/TGRS.2020.3041039.

Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales Reprint Icon - (Peer Reviewed Journal)
Anderson, M.C., Yang, Y., Xue, J., Knipper, K.R., Yang, Y., Gao, F.N., Hain, C., Kustas, W.P., Cawse-Nicholson, K., Hulley, G., Fisher, J., Alfieri, J.G., Meyers, T., Prueger, J.H., Baldocchi, D., Sanchez, C. 2020. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales. Remote Sensing of Environment. 252. Article 112189. https://doi.org/10.1016/j.rse.2020.112189.

Quantitative assessment of satellite L-band vegetation optical depth in the U.S. corn belt Reprint Icon - (Peer Reviewed Journal)
Togliatti, K., Lewis-Beck, C., Walker, V.A., Hartman, T., Van Loocke, A., Cosh, M.H., Hornbuckle, B. 2020. Quantitative assessment of satellite L-band vegetation optical depth in the U.S. corn belt. Geoscience and Remote Sensing Letters. 1-5. https://doi.org/10.1109/LGRS.2020.3034174.

Detecting cover crop termination within the season using VENµS and Sentinel-2 Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Hively, W.D. 2020. Detecting cover crop termination within the season using VENµS and Sentinel-2. Remote Sensing. 12(21):3524. https://doi.org/10.3390/rs12213524.

Evaluation of SMAP core validation site representativeness errors using dense networks of in situ sensors and random forests Reprint Icon - (Peer Reviewed Journal)
Whitcomb, J., Clewley, D., Colliander, A., Cosh, M.H., Powers, J., Friesen, M., McNairn, H., Berg, A., Bosch, D.D., Coffin, A.W., Holifield Collins, C.D., Prueger, J.H., Entekhabi, D., Moghaddam, M. 2020. Evaluation of SMAP core validation site representativeness errors using dense networks of in situ sensors and random forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13:6457-6472. https://doi.org/10.1109/JSTARS.2020.3033591.

A roadmap for high resolution satellite soil moisture applications - confronting product characteristics with user requirements Reprint Icon - (Peer Reviewed Journal)
Peng, J., Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M., De Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y., Lovergine, F., Marzahn, P., Mattia, F., Musial, J., Preuschmann, S., Reichle, R., Satalino, G., Silgram, M., Van Bodegom, P. 2020. A roadmap for high resolution satellite soil moisture applications - confronting product characteristics with user requirements. Nature Reviews Earth & Environment. 252:112162. https://doi.org/10.1016/j.rse.2020.112162.

Reconstructing daily 30 m vegetation index over complex agricultural landscapes using crop reference curves approach Reprint Icon - (Peer Reviewed Journal)
Sun, L., Gao, F.N., Xie, D., Anderson, M.C., Chen, R., Yang, Y., Yang, Y., Chen, Z. 2020. Reconstructing daily 30 m vegetation index over complex agricultural landscapes using crop reference curves approach. Remote Sensing of Environment. 253:112156. https://doi.org/10.1016/j.rse.2020.112156.

Earth observation for agricultural drought monitoring in the Pannonian Basin: current state and future directions Reprint Icon - (Peer Reviewed Journal)
Crocetti, L., Forkel, M., Fischer, M., Jurecka, F., Grlj, A., Salentinig, A., Trnka, M., Anderson, M.C., Ng, W., Kokalj, Ž., Bucur, A., Dorigo, W. 2020. Earth observation for agricultural drought monitoring in the Pannonian Basin: current state and future directions. Regional Environmental Change. 20:123. https://doi.org/10.1007/s10113-020-01710-w.

Parameterization of vegetation scattering albedo in the tau-omega model for soil moisture retrieval on croplands Reprint Icon - (Peer Reviewed Journal)
Park, C., Jagdhuber, T., Colliander, A., Lee, J., Berg, A., Cosh, M.H., Kim, S., Kim, Y., Wulfmeyer, V. 2020. Parameterization of vegetation scattering albedo in the tau-omega model for soil moisture retrieval on croplands. Remote Sensing. 12(18):2939. https://doi.org/10.3390/rs12182939.

Evapotranspiration partitioning at field scales using TSEB and multi-satellite data fusion in the middle reaches of Heihe river basin, northwest China Reprint Icon - (Peer Reviewed Journal)
Li, Y., Huang, C., Kustas, W.P., Nieto, H., Sun, L., Hou, J. 2020. Evapotranspiration partitioning at field scales using TSEB and multi-satellite data fusion in the middle reaches of Heihe river basin, northwest China . Remote Sensing. 12(9):3223. https://doi.org/10.3390/rs12193223.

Bare soil evaporation stress determines soil moisture - evapotranspiration coupling strength bias in land surface modeling Reprint Icon - (Peer Reviewed Journal)
Dong, J., Dirmeyer, P., Lei, F., Anderson, M.C., Holmes, T., Hain, C., Crow, W.T. 2020. Bare soil evaporation stress determines soil moisture - evapotranspiration coupling strength bias in land surface modeling. Geophysical Research Letters. 47. e2020GL090391. https://doi.org/10.1029/2020GL090391.

Why predict climate hazards if we need to understand impacts? Mobile technologies could put humans back into the equation Reprint Icon - (Peer Reviewed Journal)
Enenkel, M., Brown, M., Vogt, J., Mccarty, J., Bell, A., Guha-Sapir, D., Dorigo, W., Vasilaky, K., Svoboda, M., Bonifacio, R., Anderson, M.C., Funk, C., Osgood, D., Hain, C., Vinck, P. 2020. Why predict climate hazards if we need to understand impacts? Mobile technologies could put humans back into the equation. Climatic Change. 162:1161–1176. https://doi.org/10.1007/s10584-020-02878-0.

Towards operational validation systems for global satellite-derived terrestrial essential climate variables Reprint Icon - (Peer Reviewed Journal)
Bayat, B., Camacho, F., Nickeson, J., Cosh, M.H., Bolten, J., Vereecken, H., Montzka, C. 2020. Towards operational validation systems for global satellite-derived terrestrial essential climate variables. International Journal of Applied Earth Observation and Geoinformation. 95:102240. https://doi.org/10.1016/j.jag.2020.102240.

SMAP detects soil moisture under temperate forest canopies Reprint Icon - (Peer Reviewed Journal)
Colliander, A., Cosh, M.H., Kelly, V., Kraatz, S., Bourgeau-Chavez, L., Siqueira, P., Roy, A., Konings, A., Holtzman, N., Misra, S., Entekhabi, D., O'Neill, P.E., Yueh, S. 2020. SMAP detects soil moisture under temperate forest canopies. Geophysical Research Letters. 47(19):e2020GL089697. https://doi.org/10.1029/2020GL089697.

Improving spatial patterns prior to land surface data assimilation via model calibration using SMAP surface soil moisture data Reprint Icon - (Peer Reviewed Journal)
Zhou, J., Wu, Z., Crow, W.T., Dong, J., Hai, H. 2020. Improving spatial patterns prior to land surface data assimilation via model calibration using SMAP surface soil moisture data. Water Resources Research. 56:10. https://doi.org/10.1029/2020WR027770.

Assessment of leaf area index derived from the harmonized Landsat and Sentinel-2 surface reflectance-based vegetation indices and crop height in semi-arid irrigated landscapes Reprint Icon - (Peer Reviewed Journal)
Mourad, R., Jaafar, H., Anderson, M.C., Gao, F.N. 2020. Assessment of leaf area index derived from the harmonized Landsat and Sentinel-2 surface reflectance-based vegetation indices and crop height in semi-arid irrigated landscapes. Remote Sensing. 12(19):3121. https://doi.org/10.3390/rs12193121.

Tracking red palm mite damage in the Western Hemisphere invasion with Landsat remote sensing data Reprint Icon - (Peer Reviewed Journal)
Rodrigues, J., Cosh, M.H., Hunt Jr, E.R., De Moraes, G., Barroso, G., White, W.A., Ochoa, R. 2020. Tracking red palm mite damage in the Western Hemisphere invasion with Landsat remote sensing data. Insects. 11(9):627. https://doi.org/10.3390/insects11090627.

Global soil moisture retrievals from the Chinese FY-3D microwave radiation imager Reprint Icon - (Peer Reviewed Journal)
Kang, C.S., Zhao, T., Shi, J.C., Cosh, M.H., Chen, Y., Starks, P.J., Holifield Collins, C.D., Wu, S., Sun, R., Zheng, J. 2020. Global soil moisture retrievals from the Chinese FY-3D microwave radiation imager. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2020.3019408.

Sources and forecast implications for soil moisture/ evapotranspiration over-coupling during L-band brightness temperature assimilation Reprint Icon - (Peer Reviewed Journal)
Crow, W.T., Arroyo, C., Munoz, J., Holmes, T., Hain, C., Lei, F., Dong, J., Alfieri, J.G., Anderson, M.C. 2020. Sources and forecast implications for soil moisture/ evapotranspiration over-coupling during L-band brightness temperature assimilation. Journal of Hydrometeorology. 21:2359-2374. https://doi.org/10.1175/JHM-D-20-0088.1.

Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances Reprint Icon - (Peer Reviewed Journal)
Xue, J., Anderson, M.C., Gao, F.N., Hain, C., Sun, L., Yang, Y., Knipper, K.R., Kustas, W.P., Torres, A., Schull, M. 2020. Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances. Remote Sensing of Environment. 251. Article 112055. https://doi.org/10.1016/j.rse.2020.112055.

Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions Reprint Icon - (Peer Reviewed Journal)
Kim, H., Wigneron, J., Kumar, S., Dong, J., Wagner, W., Cosh, M.H., Bosch, D.D., Holifield Collins, C.D., Starks, P.J., Seyfried, M.S., Lakshmi, V. 2020. Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions. Remote Sensing of Environment. 251:112052. https://doi.org/10.1016/j.rse.2020.112052.

Estimating and improving the rain/no-rain detection skill of remotely sensed and reanalyzed precipitation products Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T., Reichle, R. 2021. Estimating and improving the rain/no-rain detection skill of remotely sensed and reanalyzed precipitation products. Journal of Hydrometeorology. 21:2419:2429. https://doi.org/10.1175/JHM-D-20-0097.1.

Using satellite thermal-based evapotranspiration time series for defining management zones and spatial association to local attributes in a vineyard Reprint Icon - (Peer Reviewed Journal)
Ohana-Levi, N., Knipper, K.R., Kustas, W.P., Anderson, M.C., Netzer, Y., Gao, F.N., del Mar Alsina, M., Sanchez, L., Karneli, A. 2020. Using satellite thermal-based evapotranspiration time series for defining management zones and spatial association to local attributes in a vineyard. Remote Sensing. 12(15):2436. https://doi.org/10.3390/rs12152436.

Assessing the impact of soil layer specification on the observability of modeled soil moisture and brightness temperature Reprint Icon - (Peer Reviewed Journal)
Shelito, P., Kumar, S., Santanello, J., Lawston, P., Bolton, J., Cosh, M.H., Bosch, D.D., Holifield Collins, C.D., Livingston, S.J., Prueger, J.H., Seyfried, M.S., Starks, P.J. 2020. Assessing the impact of soil layer specification on the observability of modeled soil moisture and brightness temperature. Journal of Hydrometeorology. 21(9):2041-2060. https://doi.org/10.1175/JHM-D-19-0280.1.

The backscattering contribution of soybean pods at L-band Reprint Icon - (Peer Reviewed Journal)
Zhou, Y., Sharma, A., Kurum, M., Lang, R., O'Neil, P., Cosh, M.H. 2020. The backscattering contribution of soybean pods at L-band. Remote Sensing of Environment. 248:111977. https://doi.org/10.1016/j.rse.2020.111977.

Estimating the number of reference sites necessary for the validation of global soil moisture products Reprint Icon - (Peer Reviewed Journal)
Montzkka, C., Bogena, H., Herbst, M., Cosh, M.H., Jaghuber, T., Vereecken, H. 2020. Estimating the number of reference sites necessary for the validation of global soil moisture products. Geoscience and Remote Sensing Letters. 99:1-5. https://doi.org/10.1109/LGRS.2020.3005730.

Long-term trends in root-zone soil moisture across CONUS connected to ENSO Reprint Icon - (Peer Reviewed Journal)
Tobin, K., Torres, R., Bennett, M., Dong, J., Crow, W.T. 2020. Long-term trends in root-zone soil moisture across CONUS connected to ENSO. Remote Sensing. 12:2037. https://doi.org/10.3390/rs12122037.

Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design Reprint Icon - (Peer Reviewed Journal)
Knipper, K.R., Kustas, W.P., Anderson, M.C., Nieto, H., Alfieri, J.G., Prueger, J.H., Hain, C.R., Gao, F.N., McKee, L.G., Mar Alsina, M., Sanchez, L. 2020. Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design. Agricultural Water Management. 241. Article 106361. https://doi.org/10.1016/j.agwat.2020.106361.

Validation practices for satellite soil moisture retrievals: What are (the) errors? Reprint Icon - (Peer Reviewed Journal)
Gruber, A., De Lannoy, G., Albergel, C., Al-Yarri, A., Brocca, L., Calvet, J., Colliander, A., Cosh, M.H., Crow, W.T., Dorigo, W., Draper, C., Hirschi, M., Kerr, Y., Konings, A., Lahoz, W., Mccoll, K., Montzkka, C., Munoz-Sabater, J., Peng, J., Reichle, R., Richaume, P., Rudiger, C., Scanlon, T., Van Der Schalie, R., Wigneron, J. 2020. Validation practices for satellite soil moisture retrievals: What are (the) errors? Remote Sensing of Environment. 244:111806. https://doi.org/10.1016/j.rse.2020.111806.

Field evaluation of portable soil moisture sensors in a sandy loam Reprint Icon - (Peer Reviewed Journal)
Kim, H., Cosh, M.H., Bindlish, R., Lakshmi, V. 2020. Field evaluation of portable soil moisture sensors in a sandy loam. Vadose Zone Journal. 19:e20033. https://doi.org/10.1002/vzj2.20033.

Observational assessment of the relationship between the Evaporative Stress Index and soil moisture and temperature across the United States Reprint Icon - (Peer Reviewed Journal)
Zhong, Y., Otkin, J., Anderson, M.C., Hain, C. 2020. Observational assessment of the relationship between the Evaporative Stress Index and soil moisture and temperature across the United States. Journal of Hydrometeorology. 21(7):1469–1484. https://doi.org/10.1175/JHM-D-19-0205.1.

Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest Reprint Icon - (Peer Reviewed Journal)
Kang, Y., Ozdogan, M., Zhu, X., Ye, Z., Hain, C., Anderson, M.C. 2020. Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest. Environmental Research Letters. 15:064005. https://doi.org/10.1088/1748-9326/ab7df9.

Relationships between soil water content, evapotranspiration, and irrigation measurements in a California drip-irrigated Pinot noir vineyard Reprint Icon - (Peer Reviewed Journal)
Wilson, T.G., Kustas, W.P., Alfieri, J.G., Anderson, M.C., Prueger, J.H., McKee, L.G., Alsina, M., Sanchez, L., Alsted, K. 2020. Relationships between soil water content, evapotranspiration, and irrigation measurements in a California drip-irrigated Pinot noir vineyard. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2020.106186.

Retrieving surface soil moisture from GRACE satellite gravity data Reprint Icon - (Peer Reviewed Journal)
Sadeghi, M., Gao, L., Ebtenaj, A., Wigneron, J., Reager, J., Crow, W.T. 2020. Retrieving surface soil moisture from GRACE satellite gravity data. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.124717.

Agricultural drought monitoring via the assimilation of SMAP soil moisture retrievals into a global soil water balance model Reprint Icon - (Peer Reviewed Journal)
Mladenova, I., Bolten, J., Crow, W.T., Sazib, N., Reynolds, C. 2020. Agricultural drought monitoring via the assimilation of SMAP soil moisture retrievals into a global soil water balance model. Frontiers in Big Data. https://doi.org/10.3389/fdata.2020.00010.

Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T., Tobin, K., Cosh, M.H., Bosch, D.D., Starks, P.J., Seyfried, M.S., Holifield Collins, C.D. 2020. Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation. Remote Sensing of Environment. 242:111756 . https://doi.org/10.1016/j.rse.2020.111756.

A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Daughtry, C.S., Karnieli, A., Hively, W., Kustas, W.P. 2020. A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2020.111752.

An intercomparison study of algorithms for downscaling SMAP radiometer soil moisture retrievals Reprint Icon - (Peer Reviewed Journal)
Fang, L., Zhan, X., Yin, J., Schull, M., Walker, J., Wen, J., Cosh, M.H., Lakankar, T., Holifield Collins, C.D., Bosch, D.D., Starks, P.J., Caldwell, T. 2020. An intercomparison study of algorithms for downscaling SMAP radiometer soil moisture retrievals. Journal of Hydrometeorology. 21(8):1761-1775. https://doi.org/10.1175/JHM-D-19-0034.1.

Assessment and validation of AirMOSS P-band root zone soil moisture products Reprint Icon - (Peer Reviewed Journal)
Tabatabaeenejad, A., Chen, R., Burgin, M., Duan, X., Cuenca, R., Cosh, M.H., Scott, R.L., Moghaddam, M. 2020. Assessment and validation of AirMOSS P-band root zone soil moisture products. IEEE Transactions on Geoscience and Remote Sensing. 58(9):6181-6196. https://doi.org/10.1109/TGRS.2020.2974976.

Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping Reprint Icon - (Peer Reviewed Journal)
Dingle Robertson, L., Davidson, A., McNairn, H., Hosseini, M., Mitchell, S., De Abelleyra, D., Veron, S., Cosh, M.H. 2020. Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping. International Journal of Remote Sensing. 41(18):7112-7144. https://doi.org/10.1080/01431161.2020.1754494.

Improved detection of inundation below the forest canopy using normalized lidar intensity data Reprint Icon - (Peer Reviewed Journal)
Lang, M., Kim, V., McCarty, G.W., Li, X., Yeo, I., Huang, C., Du, L. 2020. Improved detection of inundation below the forest canopy using normalized lidar intensity data. Remote Sensing. 12:707. https://doi.org/doi:10.3390/rs12040707.

Mapping forested wetland inundation in the Delmarva peninsula, USA using a deep convolutional neural network Reprint Icon - (Peer Reviewed Journal)
Du, L., McCarty, G.W., Zhang, X., Lang, M., Vanderhoff,M.K., Li, X., Huang, C., Lee, S. 2020. Mapping forested wetland inundation in the Delmarva peninsula, USA using a deep convolutional neural network. Remote Sensing. 12:644. https://doi.org/doi:10.3390/rs12040644.

Evapotranspiration data product from NESDIS GET-D system upgraded for GOES-16 ABI observations Reprint Icon - (Peer Reviewed Journal)
Fang, L., Zhang, X., Schull, M., Kulluri, S., Laszlo, I., Yu, P., Carter, C., Hain, C., Anderson, M.C. 2020. Evapotranspiration data product from NESDIS GET-D system upgraded for GOES-16 ABI observations. Remote Sensing. https://doi.org/10.3390/rs11222639.

L-band radar experiment and modeling of a corn canopy over a full growing season Reprint Icon - (Peer Reviewed Journal)
Sharma, A., Lang, R., Kurum, M., O'Neill, P., Cosh, M.H. 2020. L-band radar experiment and modeling of a corn canopy over a full growing season. IEEE Transactions on Geoscience and Remote Sensing. 1-15. https://doi.org/10.1109/TGRS.2020.2971539.

Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm - DisALEXI Reprint Icon - (Peer Reviewed Journal)
Cawse-Nicholson, Braverman, A., Kang, E., Li, M., Johnson, M., Halverson, G., Anderson, M.C., Hain, C., Gunson, M., Hooks, S. 2020. Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm - DisALEXI. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2020.102088.

Method to evaluate the age of groundwater inputs to surface waters by determining the chirality change of metolachlor ethanesulfonic acid (MESA) captured on a polar organic chemical integrative sampler (POCIS) Reprint Icon - (Peer Reviewed Journal)
Plummer, R.E., Hapeman, C.J., Rice, C., McCarty, G.W., Schmidt, W.F., Downey, P.M., Moorman, T.B., Douglass, E.A., Strickland, T.C., Pisani, O., Bosch, D.D., Elkin, K.R., Buda, A.R. 2020. Method to evaluate the age of groundwater inputs to surface waters by determining the chirality change of metolachlor ethanesulfonic acid (MESA) captured on a polar organic chemical integrative sampler (POCIS). Journal of Agricultural and Food Chemistry. 68(8):2297-2305. https://doi.org/10.1021/acs.jafc.9b06187.

Multi-scale surface roughness for improved soil moisture estimation Reprint Icon - (Peer Reviewed Journal)
Neelam, M., Colliander, A., Mohanty, B., Cosh, M.H., Misra, S., Jackson, T. 2020. Multi-scale surface roughness for improved soil moisture estimation. IEEE Transactions on Geoscience and Remote Sensing. 58(8):5264-5276. https://doi.org/10.1109/TGRS.2019.2961008.

Water, geography, and Aksumite civilization: The Southern Red Sea Archaeological Histories (SRSAH) project survey (2009-2016) Reprint Icon - (Peer Reviewed Journal)
Harrower, M., Smiti, N., Zerue, K., Dumitri, I., Meresa, Y., Bongers, J., Gebreegziabher, G., Zaitchik, B., Anderson, M.C. 2020. Water, geography, and Aksumite civilization: The Southern Red Sea Archaeological Histories (SRSAH) project survey (2009-2016). African Archaeological Review. https://doi.org/10.1007/s10437-020-09369-8.

Seasonal drivers of geographically isolated wetland hydrology in a low-gradient, Coastal Plain landscape Reprint Icon - (Peer Reviewed Journal)
Lee, S., McCarty, G.W., Moglen, G.E., Lang, M., Jones, C., Palmer, M., Yeo, I., Anderson, M.C., Sadeghi, A.M., Rabenhorst, M. 2020. Seasonal drivers of geographically isolated wetland hydrology in a low-gradient, Coastal Plain landscape. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.124608.

Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature Reprint Icon - (Peer Reviewed Journal)
Song, L., Bian, Z., Kustas, W.P., Liu, S., Xiao, Q., Nieto, H., Xu, Z., Yang, Y., Xu, T. 2020. Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature. Remote Sensing of Environment. 239:111674. https://doi.org/10.1016/j.rse.2020.111674.

Global estimates of land surface water flux from SMOS and SMAP satellite soil moisture data Reprint Icon - (Peer Reviewed Journal)
Sadeghi, M., Ebtenaj, A., Crow, W.T., Gao, L., Purdy, A., Fisher, J., Jones, S., Tuller, M. 2020. Global estimates of land surface net water flux from SMOS and SMAP satellite soil moisture data. Journal of Hydrometeorology. 21:241–253. https://doi.org/10.1175/JHM-D-19-0150.1.

Influence of model grid size on the estimation of surface fluxes using the two source energy balance model and sUAS imagery in vineyards Reprint Icon - (Peer Reviewed Journal)
Nassar, A., Torres, A., Kustas, W.P., Nieto, H., McKee, M., Hipps, L., Stevens, D., Alfieri, J.G., Prueger, J.H., Alsina, M., McKee, L.G., Coopmans, C., Sanchez, L., Dokoozlian, N. 2020. Influence of model grid size on the estimation of surface fluxes using the two source energy balance model and sUAS imagery in vineyards. Remote Sensing. https://doi.org/10.3390/rs12030342.

Development and evaluation of a new algorithm for detecting 30m land surface phenology from VIIRS and HLS time series Reprint Icon - (Peer Reviewed Journal)
Zhang, X., Wang, J., Henebry, G., Gao, F.N. 2020. Development and evaluation of a new algorithm for detecting 30m land surface phenology from VIIRS and HLS time series. Journal of Photogrammetry and Remote Sensing. 161:37-51. https://doi.org/10.1016/j.isprsjprs.2020.01.012.

Land surface model representation of the mutual information context between multi-layer soil moisture and evapotranspiration Reprint Icon - (Peer Reviewed Journal)
Qui, J., Crow, W.T., Dong, J., Nearing, G. 2020. Land surface model representation of the mutual information context between multi-layer soil moisture and evapotranspiration. Hydrology and Earth System Sciences. 24:581–594. https://doi.org/10.5194/hess-24-581-2020.

Use of multiple modules and Bayesian model averaging to assess structural uncertainty of catchment-scale wetland modeling in a coastal plain landscape Reprint Icon - (Peer Reviewed Journal)
Lee, S., Yen, H., Yeo, I.Y., Moglen, G.E., Rabenhorst, M., McCarty, G.W. 2020. Use of multiple modules and Bayesian model averaging to assess structural uncertainty of catchment-scale wetland modeling in a coastal plain landscape. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.124544.

Studying soil moisture and temperature on the Tibetan Plateau: Initial results of an integrated, multiscale observatory Reprint Icon - (Peer Reviewed Journal)
Dong, L., Tang, S., Cosh, M.H., Zhao, P., Lu, P., Zhao, K., Han, S., Min, M., Xu, N., Chen, L., Wang, F. 2020. Studying soil moisture and temperature on the Tibetan Plateau: Initial results of an integrated, multiscale observatory. IEEE Geoscience and Remote Sensing Magazine. 8(3):18-36. https://doi.org/10.1109/MGRS.2019.2924678.

Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard Reprint Icon - (Peer Reviewed Journal)
Lei, F., Crow, W.T., Kustas, W.P., Dong, J., Yang, Y., Knipper, K.R., Anderson, M.C., Gao, F.N., Notarnicola, C., Greifeneder, F., Mckee, L.G., Alfieri, J.G., Hain, C., Dokoozlian, N. 2020. Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111622.

A unified data-driven method to derive hydrologic dynamics from global SMAP surface soil moisture and GPM precipitation data Reprint Icon - (Peer Reviewed Journal)
Mao, Y., Crow, W.T., Nijssen, B. 2020. A unified data-driven method to derive hydrologic dynamics from global SMAP surface soil moisture and GPM precipitation data. Water Resources Research. 56:E2019WR024949. https://doi.org/10.1029/2019WR024949.

Modeling riverine dissolved and particulate organic carbon fluxes from two small watersheds in the northeastern United States Reprint Icon - (Peer Reviewed Journal)
Qi, J., Du, X., Zhang, X., Lee, S., Wu, Y., Moglen, G.E., Sadeghi, A.M., McCarty, G.W. 2019. Modeling riverine dissolved and particulate organic carbon fluxes from two small watersheds in the northeastern United States. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2019.104601.

Incorporation of unmanned aerial vehicle (UAV) point cloud product into remote sensing evapotranspiration models Reprint Icon - (Peer Reviewed Journal)
Aboutalebi, M., Torres, A., McKee, M., Kustas, W.P., Nieto, H., Alsana, M., White, W.A., Prueger, J.H., McKee, L.G., Alfieri, J.G., Hipps, L., Coopmans, C., Dokoozlian, N. 2019. Incorporation of unmanned aerial vehicle (UAV) point cloud product into remote sensing evapotranspiration models. Remote Sensing. 12(1):50. https://doi.org/10.3390/rs12010050.

Self-correction of Soil Moisture Ocean Salinity (SMOS) soil moisture dry bias Reprint Icon - (Peer Reviewed Journal)
Lee, J., Cosh, M.H., Starks, P.J., Toth, Z. 2019. Self-correction of Soil Moisture Ocean Salinity (SMOS) soil moisture dry bias. Canadian Journal of Remote Sensing. 45(6):814-828. https://doi.org/10.1080/07038992.2019.1700466.

Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data Reprint Icon - (Peer Reviewed Journal)
Mao, Y., Crow, W.T., Nijssen, B. 2020. Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data. Hydrology and Earth System Sciences. 24/615-631. https://doi.org/10.5194/hess-24-615-2020.

Seasonal evaluation of SMAP soil moisture in the U.S. corn belt Reprint Icon - (Peer Reviewed Journal)
Walker, V., Hornbuckle, B., Cosh, M.H., Prueger, J.H. 2019. Seasonal evaluation of SMAP soil moisture in the U.S. corn belt. Remote Sensing. 11(21):248. https://doi.org/10.3390/rs11212488.

Monitoring crop water content for corn and soybean fields through data fusion of MODIS and Landsat measurements in Iowa Reprint Icon - (Peer Reviewed Journal)
Xu, C., Qu, J., Hao, X., Cosh, M.H., Zhu, Z., Gutenberg, L. 2020. Monitoring crop water content for corn and soybean fields through data fusion of MODIS and Landsat measurements in Iowa. Agricultural Water Management. 227:105844. https://doi.org/10.1016/j.agwat.2019.105844.

Estimating the environmental effects of winter cover crops in the Tuckahoe Creek watershed using cost-share enrollment data, satellite remote sensing, and SWAT modeling Reprint Icon - (Peer Reviewed Journal)
Hively, W., Lee, S., Sadeghi, A.M., McCarty, G.W., Lamb, B., Soroka, A., Keppler, J., Yeo, I., Moglen, G.E. 2020. Estimating the environmental effects of winter cover crops in the Tuckahoe Creek watershed using cost-share enrollment data, satellite remote sensing, and SWAT modeling. Soil and Water Conservation Society. 75(3):362-375. https://doi.org/10.2489/jswc.75.3.362.

Evaluation and inter-comparison of multi-source evapotranspiration products over the continental United States: Implications for the next phase of NLDAS development Reprint Icon - (Peer Reviewed Journal)
Zhang, B., Xia, Y., Long, B., Hobbins, M., Hain, C., Li, Y., Anderson, M.C. 2020. Evaluation and inter-comparison of multi-source evapotranspiration products over the continental United States: Implications for the next phase of NLDAS development. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2019.107810.

Crop growth condition assessment at county scale based on heat-aligned growth stages Reprint Icon - (Peer Reviewed Journal)
Quan, Y., Yang, Z., Di, L., Rahman, M., Xue, L., Tran, Z., Gao, F.N., Yu, E., Zhang, X. 2019. Crop growth condition assessment at county scale based on heat-aligned growth stages. Remote Sensing. 11:2439. https://doi.org/10.3390/rs11202439.

Evaluation of SMAP freeze/thaw retrieval accuracy at core validation sites in the contiguous United States Reprint Icon - (Peer Reviewed Journal)
Kraatz, S., Jacobs, J., Schroeder, R., Cho, E., Cosh, M.H., Seyfried, M.S., Prueger, J.H., Livingston, S.J. 2019. Evaluation of SMAP freeze/thaw retrieval accuracy at core validation sites in the contiguous United States. Remote Sensing. 10(9):1483. https://doi.org/10.3390/rs10091483.

Effects of surface runoff and infiltration partition methods on hydrological modeling: A comparison of four schemes in two watersheds in the Northeastern US Reprint Icon - (Peer Reviewed Journal)
Qi, J., Lee, S., Zhang, X., Yang, Q., McCarty, G.W., Moglen, G.E. 2019. Effects of surface runoff and infiltration partition methods on hydrological modeling: A comparison of four schemes in two watersheds in the Northeastern US. Journal of Hydrology. 581:124415. https://doi.org/10.1016/j.jhydrol.2019.124415.

Evaluation of TsHARP utility for thermal sharpening of Sentinel-3 satellite images using Sentinel-2 visual imagery Reprint Icon - (Peer Reviewed Journal)
Huryan, H., Cohen, Y., Karneli, A., Panov, N., Kustas, W.P., Agam, N. 2019. Evaluation of TsHARP utility for thermal sharpening of Sentinel-3 satellite images using Sentinel-2 visual imagery. Remote Sensing. https://doi.org/doi:10.3390/rs11192304.

Using high-spatiotemporal thermal satellite ET retrievals for near-real time water use and stress monitoring in a California vineyard Reprint Icon - (Peer Reviewed Journal)
Knipper, K.R., Kustas, W.P., Anderson, M.C., Alsina, M., Hain, C., Alfieri, J.G., Prueger, J.H., Gao, F.N., McKee, L.G., Sanchez, L. 2019. Using high-spatiotemporal thermal satellite ET retrievals for near-real time water use and stress monitoring in a California vineyard. Remote Sensing. 11(18):2124. https://doi.org/10.3390/rs11182124.

The Texas Soil Observation Network: A comprehensive soil moisture dataset for remote sensing and land surface model validation Reprint Icon - (Peer Reviewed Journal)
Caldwell, T., Bongiovanni, T., Cosh, M.H., Jackson, T.J., Colliander, A., Abolt, C., Casteel, R., Larson, T., Scanlon, B., Young, M. 2019. The Texas Soil Observation Network: A comprehensive soil moisture dataset for remote sensing and land surface model validation. Vadose Zone Journal. 18:1. https://doi.org/10.2136/vzj2019.04.0034.

Evaluation of remotely-sensed and model-based soil moisture products according to different soil type, vegetation cover and climate regime using station-based observations over Turkey Reprint Icon - (Peer Reviewed Journal)
Bulut, B., Tugrul, Y., Afshar, M., Unal, S., Yucel, I., Cosh, M.H., Simek, O. 2019. Evaluation of remotely-sensed and model-based soil moisture products according to different soil type, vegetation cover and climate regime using station-based observations over Turkey. Remote Sensing. 11(16):1875. https://doi.org/10.3390/rs11161875.

Impact of rescaling approaches on the simple fusion of soil moisture products Reprint Icon - (Peer Reviewed Journal)
Ashfar, M., Yilmaz, M., Crow, W.T. 2019. Impact of rescaling approaches on the simple fusion of soil moisture products. Water Resources Research. 55:7804-7825. https://doi.org/10.1029/2019WR025111. 2019.

The SMAP and Copernicus Sentinel 1A/B microwave active-passive, high-resolution surface soil moisture product Reprint Icon - (Peer Reviewed Journal)
Das, N., Entekhabi, D., Dunbar, R., Caubell, M., Colliander, A., Yueh, S., Jaghuber, T., Chen, F., Crow, W.T., O'Neil, P., Walker, J., Berg, A., Bosch, D.D., Caldwell, T., Cosh, M.H., Holifield Collins, C.D., Lopez-Baeza, E., Thibeault, M. 2019. The SMAP and Copernicus Sentinel 1A/B microwave active-passive, high-resolution surface soil moisture product. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2019.111380.

Diagnosing bias in modeled soil moisture/runoff coefficient correlation using the SMAP Level 4 soil moisture product Reprint Icon - (Peer Reviewed Journal)
Crow, W.T., Chen, F., Reichele, R., Xia, Y. 2019. Diagnosing bias in modeled soil moisture/runoff coefficient correlation using the SMAP Level 4 soil moisture product. Water Resources Research. 55:7010-7026. https://doi.org/10.1029/2019WR025245.

Version 4 of the SMAP level-4 soil moisture algorithm and data product Reprint Icon - (Peer Reviewed Journal)
Reichle, R., Liu, Q., Koster, R., Crow, W.T., Delannoy, G., Kimball, J., Ardizzone, J., Bosch, D.D., Colliander, A., Cosh, M.H., Kolassa, Mahanama, S., McNairn, H., Prueger, J.H., Starks, P.J., Walker, J. 2020. Version 4 of the SMAP level-4 soil moisture algorithm and data product. Journal of Advances in Modeling Earth Systems. 11:3106-3130. https://doi.org/10.1029/2019MS001729.

The impact of shadows on partitioning of radiometric temperature to canopy and soil temperature based on the contextual two-source energy balance model (TSEB-2T) Reprint Icon - (Proceedings)
Aboutalebi, M., Torres-Rua, A., Mckee, L.G., Nieto, H., Kustas, W.P., Coopmans, C. 2019. The impact of shadows on partitioning of radiometric temperature to canopy and soil temperature based on the contextual two-source energy balance model (TSEB-2T). Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.2519685.

Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture Reprint Icon - (Peer Reviewed Journal)
Jadidoleslam, N., Mantilla, R., Krajewski, W., Cosh, M.H. 2019. Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture. Journal of Hydrology. 576(9):85–97. https://doi.org/10.1016/J.JHYDROL.2019.06.026.

Quantifying the hydrological impacts of climate change on a watershed in northern Virginia Reprint Icon - (Peer Reviewed Journal)
Baran, A., Moglen, G.E., Godrej, A. 2019. Quantifying the hydrological impacts of climate change on a watershed in northern Virginia. Journal Hydrologic Engineering. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001860.

Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows Reprint Icon - (Proceedings)
Aboutalebi, M., Torres-Rua, A., Mckee, M., Nieto, H., Kustas, W.P., Coopmans, C. 2019. Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows. American Society of Photobiologists Proceedings. https://doi.org/10.1117/12.2519694.

Evaluating the operational application of SMAP for global agricultural drought monitoring Reprint Icon - (Peer Reviewed Journal)
Mladenova, I., Bolten, J., Crow, W.T., Sazib, N., Cosh, M.H., Tucker, C., Reynolds, C. 2019. Evaluating the operational application of SMAP for global agricultural drought monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3387-3397. https://doi.org/10.1109/jstars.2019.2923555.

Consistency between NASS surveyed soil moisture conditions and SMAP soil moisture observations Reprint Icon - (Peer Reviewed Journal)
Colliander, A., Yang, Z., Mueller, R., Sandborn, A., Reichle, R., Crow, W.T., Entekhabi, D., Yeuh, S. 2019. Consistency between NASS surveyed soil moisture conditions and SMAP soil moisture observations. Water Resources Research. https://doi.org/10.1029/2018WR024475.

Validation of a new soil moisture product: Soil MERGE (SMERGE) Reprint Icon - (Peer Reviewed Journal)
Tobin, K., Crow, W.T., Dong, J., Bennett, M. 2019. Validation of a new soil moisture product: Soil MERGE (SMERGE). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3351-3365. https://doi.org/10.1109/JSTARS.2019.2930946.

Comparison of satellite passive microwave with modeled snow water equivalent estimates in the Red River of the North Basin Reprint Icon - (Peer Reviewed Journal)
Schroeder, R., Jacobs, J., Cho, E., Olheiser, C., Deweese, M., Cosh, M.H., Jia, X., Vuyovich, C., Tuttle, S. 2019. Comparison of satellite passive microwave with modeled snow water equivalent estimates in the Red River of the North Basin. IEEE Journal of Selected Topics in Applied Remote Sensing. 12(9):3233-3246. https://doi.org/10.1109/JSTARS.2019.2926058.

Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: a comprehensive assessment using global ground-based soil moisture observations Reprint Icon - (Peer Reviewed Journal)
Ma, H., Zeng, J., Chen, N., Zhang, X., Cosh, M.H., Wang, W. 2019. Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: a comprehensive assessment using global ground-based soil moisture observations. Remote Sensing of Environment. 231:111215. https://doi.org/10.1016/j.rse.2019.111215.

An L-band brightness temperature disaggregation method using S-band radiometer data for the Water Cycle Observation Mission (WCOM) Reprint Icon - (Peer Reviewed Journal)
Yao, P., Shi, J., Cosh, M.H., Bindish, R., Lu, H. 2019. An L-band brightness temperature disaggregation method using S-band radiometer data for the Water Cycle Observation Mission (WCOM). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9):3184-3193. https://doi.org/10.1109/JSTARS.2019.2922780.

Uncertainty of reference pixel soil moisture averages sampled at SMAP core validation sites Reprint Icon - (Peer Reviewed Journal)
Chen, F., Crow, W.T., Cosh, M.H., Colliander, A., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T., Holifield Collins, C.D., Martinez-Fernandez, J., Mcnairn, H., Starks, P.J., Su, Z., Walker, J. 2019. Uncertainty of reference pixel soil moisture averages sampled at SMAP core validation sites. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-19-0049.1.

A global assessment of added value in the SMAP Level-4 soil moisture product relative to its baseline land surface model Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T., Reichle, R., Liu, Q., Lei, F., Cosh, M.H. 2019. A global assessment of added value in the SMAP Level-4 soil moisture product relative to its baseline land surface model. Geophysical Research Letters. https://doi.org/10.1029/2019GL083398.

A method for assessing SMAP core validation site scaling bias using enhanced sampling and random forests - (Proceedings)
Witcomb, J., Moghaddam, M., Clewley, D., Colliander, Cosh, M.H., Powers, J., Friesen, M., Mcnaim, H., Berg, A., Bosch, D.D., Holifield Collins, C.D., Prueger, J.H., Entekhabi, D. 2019. A method for assessing SMAP core validation site scaling bias using enhanced sampling and random forests.Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. Paper No. 4461.

Developing a coordinated national soil moisture network to integrate soil moisture data for the United States Reprint Icon - (Research Technical Update)
Clayton, J., Quiring, S., Ochsner, T., Cosh, M.H., Baker, B., Ford, T., Bolton, J., Woloszyn, M. 2019. Developing a coordinated national soil moisture network to integrate soil moisture data for the United States. Review Article. 100, https://doi.org/10.1029/2019EO123631.

Forward to the GRAPEX special issue Reprint Icon - (Review Article)
Kustas, W.P., Agam, N., Ortega-Farias 2019. Forward to the GRAPEX special issue. Irrigation Science. https://doi.org/10.1007/s00271-019-00633-7.

Uncertainty in soil moisture retrievals: an ensemble approach using SMOS L-band microwave data Reprint Icon - (Peer Reviewed Journal)
Quets, J., Delannoy, G., Al Yaari, A., Chan, S., Cosh, M.H., Gruber, A., Reichle, R., Van Der Schalie, R., Wigneron, J. 2019. Uncertainty in soil moisture retrievals: an ensemble approach using SMOS L-band microwave data. Remote Sensing of Environment. 229:133-147. https://doi.org/10.1016/j.rse.2019.05.008.

Grass intercrop and soil water content have a secondary effect on soil heat flux (SHF) in a wine vineyard – implications on SHF measurements Reprint Icon - (Peer Reviewed Journal)
Agam, N., Kustas, W.P., Alfieri, J.G., Gao, F.N., Mckee, L.G., Prueger, J.H., Hipps, L. 2019. Grass intercrop and soil water content have a secondary effect on soil heat flux (SHF) in a wine vineyard – implications on SHF measurements. Irrigation Science. https://doi.org/10.1007/s00271-019-00634-6.

Using very high resolution thermal infrared imagery for more accurate determination of the impact of land cover differences on evapotranspiration in an irrigated agricultural area Reprint Icon - (Peer Reviewed Journal)
Cheng, J., Kustas, W.P. 2019. Using very high resolution thermal infrared imagery for more accurate determination of the impact of land cover differences on evapotranspiration in an irrigated agricultural area. Remote Sensing. 11(6):613. https://doi.org/10.3390/rs11060613.

A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation Reprint Icon - (Peer Reviewed Journal)
Gruber, A., Delannoy, G., Crow, W.T. 2019. A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation. Remote Sensing of Environment. 228:105-114. https://doi.org/10.1016/j.rse.2019.04.003.

Measurement uncertainty and model validation: An instructive case study of an irrigated cotton crop - (Abstract Only)

The effect of spatiotemporal resolution degradation on the accuracy of IMERG products over the Huai River Basin Reprint Icon - (Peer Reviewed Journal)
Su, J., Lu, H., Zhu, Y., Crow, W.T., Cui, Q. 2020. The effect of spatiotemporal resolution degradation on the accuracy of IMERG products over the Huai River Basin. Journal of Hydrometeorology. 21(5):1073-1088. https://doi.org/10.1175/JHM-D-19-0158.1.

Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX16) Reprint Icon - (Peer Reviewed Journal)
Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Powers, J., Mccain, H., Bullock, P., Berg, A., Magagi, R., Bindlish, R., Williamson, R., Ramos, I., Latham, B., Oneil, P., Yueh, S. 2019. Comparison of high-resolution airborne soil moisture retrievals to SMAP soil moisture during the SMAP validation experiment 2016 (SMAPVEX16). Remote Sensing of Environment. 227:137-150. https://doi.org/10.1016/j.rse.2019.04.004.

Using high-spatiotemporal ET retrievals in near real time for operational irrigation management in a California vineyard - (Abstract Only)

Development of high resolution soil moisture validation networks in Central Iowa, USA - (Abstract Only)

Current status of Landsat program, science, and applications Reprint Icon - (Peer Reviewed Journal)
Wulder, M., Loveland, T., Roy, D., Crawford, C., Masek, J., Woodcock, C., Allen, R., Anderson, M.C., Belward, A., Cohen, W., Dwyer, J., Erd, A., Gao, F.N., Griffiths, P., Helder, D., Hermosilla, T., Hipple, J., Hostert, P., Hughes, M., Huntington, J., Johnson, D., Kennedy, R., Kilic, A., Li, Z., Lymburner, L. 2019. Current status of Landsat program, science, and applications. Remote Sensing of Environment. 225:127-147. https://doi.org/10.1016/j.rse.2019.02.015.

Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods Reprint Icon - (Peer Reviewed Journal)
Qi, J., Zhang, X., Cosh, M.H. 2019. Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods. Ecological Engineering. 129(4):134-143. https://doi.org/10.1016/j.ecoleng.2019.01.017.

Effect of vegetation index choice on soil moisture retrievals via the synergistic use of synthetic aperture radar and optical remote sensing Reprint Icon - (Peer Reviewed Journal)
Qui, J., Wagner, W., Zhao, T., Crow, W.T. 2019. Effect of vegetation index choice on soil moisture retrievals via the synergistic use of synthetic aperture radar and optical remote sensing. International Journal of Applied Earth Observation and Geoinformation. 80:47-57. https://doi.org/10.1016/j.jag.2019.03.015.

Application of a land surface temperature-based multi-scale modeling system for estimating surface energy balance over complex landscapes - (Abstract Only)

Estimating vegetation water content during the Soil Moisture Active Passive Validation Experiment in 2016 Reprint Icon - (Peer Reviewed Journal)
Cosh, M.H., White, W.A., Colliander, A., Jackson, T.J., Prueger, J.H., Hornbudde, B., Hunt Jr, E.R., McNairn, H., Powres, J., Walker, V. 2019. Estimating vegetation water content during the Soil Moisture Active Passive Validation Experiment in 2016. Journal of Applied Remote Sensing (JARS). 13(1):014516. https://doi.org/10.1117/1.JRS.13.014516.

Earth observations and integrative models in support of food security Reprint Icon - (Peer Reviewed Journal)
Uz, S., Ruane, A., Duncan, B., Tucker, C., Huffman, G., Mladenova, I., Osmanoglu, B., Holmes, T., Mcnally, A., Peter-Lidard, C., Bolten, J., Das, N., Rodell, M., McCartney, S., Anderson, M.C., Doorn, B. 2018. Earth observations and integrative models in support of food security. Remote Sensing in Earth Systems Sciences. 2(1):18-38. https://doi.org/10.1007/s41976-019-0008-6.

The impact of shadows on partitioning of radiometric temperature to canopy and soil temperature based on the two-source energy balance model-contextual temperature (TSEB-2T) Reprint Icon - (Abstract Only)
Aboutalebi, M., Torres-Rua, A., Mckee, M., Nieto, H., Kustas, W.P., Coopmans, C. 2019. The impact of shadows on partitioning of radiometric temperature to canopy and soil temperature based on the two-source energy balance model-contextual temperature (TSEB-2T). Meeting Abstract. https://doi.org/10.1117/12.2519685.

Validation of digital terrain models retrieved from UAV point clouds using geometrical information from shadows Reprint Icon - (Abstract Only)
Aboutalebi, M., Torres-Rua, A., Mckee, M., Kustas, W.P., Nieto, H., Coopmans, C. 2019. Validation of digital terrain models retrieved from UAV point clouds using geometrical information from shadows. Meeting Abstract. https://doi.org/10.1117/12.2519694.

Utility of soil moisture data products for natural disaster applications Reprint Icon - (Book / Chapter)
Crow, W.T. 2019. Utility of soil moisture data products for natural disaster applications. Book Chapter. p. 65-85. https://doi.org/10.1016/C2017-0-02344-3.

Assessing the evolution of soil moisture and vegetation conditions during a flash drought - flash recovery sequence over the south-central United States Reprint Icon - (Peer Reviewed Journal)
Otkin, J., Zhong, Y., Hunt, E., Basara, J., Svoboda, M., Anderson, M.C., Hain, C. 2019. Assessing the evolution of soil moisture and vegetation conditions during a flash drought - flash recovery sequence over the south-central United States. Journal of Hydrometeorology. 20(3):549-562. https://doi.org/10.1175/JHM-D-18-0171.1.

Challenges that beyond-visual-line-of-sight technology will create for UAS-based remote sensing in agriculture Reprint Icon - (Abstract Only)
Mckee, M., Torres-Rua, A., Aboutalebi, M., Nassar, A., Coopmans, C., Kustas, W.P., Gao, F.N., Dokoozlian, N., Sanchez, L., Alsina, M. 2019. Challenges that beyond-visual-line-of-sight technology will create for UAS-based remote sensing in agriculture. Meeting Abstract. https://doi.org/10.1117/12.2520248.

Impact of insolation data source on remote sensing retrievals of evapotranspiration over the California Delta Reprint Icon - (Peer Reviewed Journal)
Anderson, M.C., Diak, G., Gao, F.N., Knipper, K.R., Hain, C., Eichelmann, E., Hemes, K., Baldocchi, D., Kustas, W.P., Alfieri, J.G. 2019. Impact of insolation data source on remote sensing retrievals of evapotranspiration over the California Delta. Remote Sensing. 11:216. https://doi.org/10.3390/rs11030216.

Intermittency of water vapor fluxes from vineyards during light wind and convective conditions Reprint Icon - (Peer Reviewed Journal)
Los, S., Hipps, L., Alfieri, J.G., Kustas, W.P., Prueger, J.H. 2019. Intermittency of water vapor fluxes from vineyards during light wind and convective conditions. Irrigation Science. 37(3):281-295. https://doi.org/10.1007/s00271-018-0617-5.

Space-borne microwave surface soil moisture observations provide missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States Reprint Icon - (Peer Reviewed Journal)
Al-Yaari, A., Ducharne, A., Crow, W.T., Cheruy, F., Wigneron, J. 2019. Space-borne microwave surface soil moisture observations provide missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States. Scientific Reports. 9:1657. https://doi.org/10.1038/s41598-018-38309-5.

A double instrumental variable method for geophysical product error estimation Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T. 2019. A double instrumental variable method for geophysical product error estimation. Remote Sensing of Environment. 9:1657. https://doi.org/10.1038/s41598-018-38309-5.

Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data Reprint Icon - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Hain, C., Noormets, A., Sun, G., Wynne, R., Thomas, V. 2020. Investigating impacts of drought and disturbance on evapotranspiration over a forested landscape in North Carolina, USA using high spatiotemporal resolution remotely sensed data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2018.12.017.

Evaluation of IMERG V04A precipitation estimates over different topographic and climatic watersheds in China Reprint Icon - (Peer Reviewed Journal)
Wei, W., Lu, H., Crow, W.T., Zhu, Y., Su, J., Wang, J. 2018. Evaluation of IMERG V04A precipitation estimates over different topographic and climatic watersheds in China. Remote Sensing. 10:30. https://doi.org/10.3390/rs10010030.

The soil moisture active passive experiments: Towards calibration and validation of the SMAP mission Reprint Icon - (Peer Reviewed Journal)
Ye, N., Walker, J., Wu, X., De Jeu, R., Gao, Y., Jackson, T.J., Jonard, F., Entekhabi, D., Kim, E., Merlin, O., Pauwels, V., Renzuillo, L., Rudiger, C., Sadaghy, S., Von Hebel, C., Yueh, S., Zhu, L. 2018. The soil moisture active passive experiments: Towards calibration and validation of the SMAP mission. Remote Sensing of Environment. 221:363-372. https://doi.org/10.1016/j.rse.2018.11.033.

Assessment of different methods for shadow detection in high-resolution imagery and evaluation of shadows impact on calculation of NDVI, LAI, and evapotranspiration Reprint Icon - (Peer Reviewed Journal)
Aboutalebi, M., Torres-Rua, A., Kustas, W.P., Nieto, H., Coopmans, C., McKee, M. 2018. Assessment of different methods for shadow detection in high-resolution imagery and evaluation of shadows impact on calculation of NDVI, LAI, and evapotranspiration. Irrigation Science. 37(3):407-429. https://doi.org/10.1007/s00271-018-0613-9.

Evaluating soil resistance formulations in thermal-based two source energy balance (TSEB) model: Implications for heterogeneous semiarid and arid regions Reprint Icon - (Peer Reviewed Journal)
Li, Y., Kustas, W.P., Huang, C., Nieto, H., Haghighi, E., Anderson, M.C., Domingo, F., Garcia, M. 2018. Evaluating soil resistance formulations in thermal-based two source energy balance (TSEB) model: Implications for heterogeneous semiarid and arid regions. Water Resources Research. https://doi.org/10.1029/2018WR022981.

Mapping landscape-scale hydrological connectivity of headwater wetlands to downstream water: a catchment modelling approach - Part 2 Reprint Icon - (Peer Reviewed Journal)
Yeo, I., Lee, S., Lang, M., Yetemen, O., McCarty, G.W., Sadeghi, A.M., Evenson, G. 2018. Mapping landscape-scale hydrological connectivity of headwater wetlands to downstream water: a catchment modelling approach - Part 2. Science of the Total Environment. 12/15/2018. https://doi.org/10.1016/j.scitotenv.2018.11.237.

Mapping the landscape-level hydrological connectivity of headwater wetlands to downstream waters: a geospatial modeling approach - Part I Reprint Icon - (Peer Reviewed Journal)
Yeo, I., Lang, M., Lee, S., Haung, C., McCarty, G.W., Sadeghi, A.M., Yetemen, O. 2018. Mapping the landscape-level hydrological connectivity of headwater wetlands to downstream waters: a geospatial modeling approach - Part I. Science of the Total Environment. 653:1546-1556. https://doi.org/10.1016/j.scitotenv.2018.11.238.

Impact of different within-canopy wind attenuation formulations on modelling evapotranspiration using TSEBm Reprint Icon - (Peer Reviewed Journal)
Nieto, H., Kustas, W.P., Alfieri, J.G., Feng, M., Hipps, L., Los, S., Prueger, J.H., McKee, L.G., Anderson, M.C. 2018. Impact of different within-canopy wind attenuation formulations on modelling evapotranspiration using TSEBm. Irrigation Science. https://doi.org/10.1007/s00271-018-0611-y.

Influence of wind direction on the surface roughness of vineyards Reprint Icon - (Peer Reviewed Journal)
Alfieri, J.G., Kustas, W.P., Nieto, H., Prueger, J., Hipps, L., McKee, L.G. 2018. Influence of wind direction on the surface roughness of vineyards. Irrigation Science. 37(3):359-373. https://doi.org/10.1007/s00271-018-0610-z.

Effects of subsurface soil characteristics on depressional wetland inundation within the Coastal Plain of the Chesapeake Bay watershed Reprint Icon - (Peer Reviewed Journal)
Lee, S., McCarty, G.W., Moglen, G.E., Lang, M., Sadeghi, A.M., Green, T.R., Yeo, I., Rabenhorst, M. 2018. Effects of subsurface soil characteristics on depressional wetland inundation within the Coastal Plain of the Chesapeake Bay watershed. Hydrological Processes. 33(2):305-315. https://doi.org/10.1002/hyp.13326.

Investigating the SMOS dry bias in the corn belt of the United States Reprint Icon - (Peer Reviewed Journal)
Walker, V., Hornbuckle, B., Cosh, M.H. 2018. Investigating the SMOS dry bias in the corn belt of the United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12):4664-4675. https://doi.org/10.1109/JSTARS.2018.2864897.

Comprehensive evaluation of GPM-IMERG, CMORPH and TMPA precipitation products with gauged rainfall over mainland China Reprint Icon - (Peer Reviewed Journal)
Wei, G., Lu, H., Crow, W.T., Zhu, Y., Wang, J., Su, J. 2018. Comprehensive evaluation of GPM-IMERG, CMORPH and TMPA precipitation products with gauged rainfall over mainland China. Advances in Meteorology. 2018:3024190. https://doi.org/10.1155/2018/3024190.

Assessing SMAP soil moisture scaling and retrieval in the Carman (Canada) study site Reprint Icon - (Peer Reviewed Journal)
Bhuiyan, H., McNairn, H., Powers, J., Friesen, M., Pacheco, A., Jackson, T.J., Cosh, M.H., Colliander, A., Berg, A., Rowlandson, T., Magagi, R. 2018. Assessing SMAP soil moisture scaling and retrieval in the Carman (Canada) study site. Vadose Zone Journal. 17(1). https://doi.org/10.2136/vzj2018.07.0132.

A new watershed-scale model for depressional landscapes Reprint Icon - (Peer Reviewed Journal)
Evenson, G., Jones, C., Mclaughlin, D., Golden, H., Lance, C., Devries, B., Alexander, L., McCarty, G.W., Lang, M., Sharifi, A. 2018. A new watershed-scale model for depressional landscapes. Hydrological Processes. 1:100002. https://doi.org/10.1016/j.hydroa.2018.10.002.

L-band remote sensing increases sampled levels of global soil moisture - air temperature coupling strength Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T. 2018. L-band remote sensing increases sampled levels of global soil moisture - air temperature coupling strength. Remote Sensing of Environment. 220:51-58. https://doi.org/10.1016/j.rse.2018.10.024.

Global relationships between satellite-derived solar-induced fluorescence (SIF), traditional reflectance vegetation indices (NDVI and NDII), evapotranspiration (ET), and soil moisture anomalies Reprint Icon - (Peer Reviewed Journal)
Joiner, J., Yoshida, Y., Anderson, M.C., Holmes, T., Hain, C., Riechle, R., Koster, R., Middleton, E., Zeng, F. 2018. Global relationships between satellite-derived solar-induced fluorescence (SIF), traditional reflectance vegetation indices (NDVI and NDII), evapotranspiration (ET), and soil moisture anomalies. Remote Sensing of Environment. 219:339-352. https://doi.org/10.1016/j.rse.2018.10.020.

Below canopy radiation divergence in a vineyard – implications on inter-row surface energy balance Reprint Icon - (Peer Reviewed Journal)
Kustas, W.P., Agam, N., Alfieri, J.G., McKee, L.G., Prueger, J.H., Hipps, L., Howard, A., Heitman, J. 2018. Below canopy radiation divergence in a vineyard – implications on inter-row surface energy balance. Irrigation Science. https://doi.org/10.1007/s00271-018-0601-0.

A multi-year intercomparison of micrometeorological observations at adjacent vineyards in California’s Central Valley during GRAPEX Reprint Icon - (Peer Reviewed Journal)
Alfieri, J.G., Kustas, W.P., Prueger, J.H., McKee, L.G., Hipps, L., Gao, F.N. 2018. A multi-year intercomparison of micrometeorological observations at adjacent vineyards in California’s Central Valley during GRAPEX. Irrigation Science. 37(3):345-357. https://doi.org/10.1007/s00271-018-0599-3.

The influence of environmental conditions on the surface fluxes from adjacent vineyards in California’s Central Valley - (Abstract Only)

Monitoring and validating spatio-temporal continuously daily evapotranspiration and its components at river the basin scale Reprint Icon - (Peer Reviewed Journal)
Song, L., Liu, S., Kustas, W.P., Nieto, H., Sun, L., Xu, Z., Skaggs, T.H., Ma, M., Xu, T., Tang, X., Li, Q. 2018. Monitoring and validating spatio-temporal continuously daily evapotranspiration and its components at river the basin scale. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2018.10.002.

A 3-step framework for understanding the efficiency of surface soil moisture data assimilation for improving large-scale runoff prediction Reprint Icon - (Peer Reviewed Journal)
Mayo, Y., Crow, W.T., Nijsseen, B. 2019. A 3-step framework for understanding the efficiency of surface soil moisture data assimilation for improving large-scale runoff prediction. Journal of Hydrometeorology. 20:79–97. https://doi.org/10.1175/JHM-D-18-0115.1.

Use of satellite soil moisture to diagnosis climate model representations of European air temperature-soil moisture coupling strengths Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T. 2018. Use of satellite soil moisture to diagnosis climate model representations of European air temperature-soil moisture coupling strengths. Geophysical Research Letters. 45:12884–12891. https://doi.org/10.1029/2018GL080547.

Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards Reprint Icon - (Peer Reviewed Journal)
Knipper, K.R., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Prueger, J.H., Hain, C., Gao, F.N., Yang, Y., McKee, L.G., Nieto, H., Hipps, L., Aisha, M., Sanchez, L. 2018. Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards. Irrigation Science. https://doi.org/10.1007/s00271-018-0591-y.

Exploring seasonal and regional relationships between the Evaporative Stress Index and surface weather and soil moisture anomalies across the United States Reprint Icon - (Peer Reviewed Journal)
Otkin, J., Zhong, Y., Lorenz, D., Anderson, M.C., Hain, C. 2018. Exploring seasonal and regional relationships between the Evaporative Stress Index and surface weather and soil moisture anomalies across the United States. Journal of Hydrometeorology. 22:5373-5386. https://doi.org/10.5194/hess-22-5373-2018.

Real-time monitoring of crop phenology in the midwestern United States using VIIRS observations Reprint Icon - (Peer Reviewed Journal)
Liu, L., Zhang, X., Yu, Y., Gao, F.N., Yang, Z. 2018. Real-time monitoring of crop phenology in the midwestern United States using VIIRS observations. Remote Sensing. 10:1540. https://doi.org/10.3390/rs10101540.

Assessing variability of corn and soybean yields in central Iowa using high spatiotemporal resolution multi-satellite imagery Reprint Icon - (Peer Reviewed Journal)
Gao, F.N., Anderson, M.C., Daughtry, C.S., Johnson, D. 2018. Assessing variability of corn and soybean yields in central Iowa using high spatiotemporal resolution multi-satellite imagery. Remote Sensing of Environment. 10:1489. https://doi.org/10.3390/rs10091489.

Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States Reprint Icon - (Peer Reviewed Journal)
Mishra, V., Cruise, J., Hain, C., Mecikalski, J., Anderson, M.C. 2018. Development of soil moisture profiles through coupled microwave-thermal infrared observations in the southeastern United States. Hydrology and Earth System Sciences. 22:4935-4957. https://doi.org/10.5194/hess-22-4935-2018.

Global investigation of soil moisture and latent heat flux coupling strength Reprint Icon - (Peer Reviewed Journal)
Lei, F., Crow, W.T., Holmes, T., Hain, C., Anderson, M.C. 2018. Global investigation of soil moisture and latent heat flux coupling strength. Water Resources Research. 54:8196-8215. https://doi.org/10.1029/2018WR023469.

Exploiting the convergence of evidence in satellite data for advanced weather index insurance design Reprint Icon - (Peer Reviewed Journal)
Enenkel, M., Anderson, M.C., Osgood, D., Powell, B., Brown, M., McCarty, J., Neigh, C., Carroll, M., Hain, C., Husak, G., Wooten, M. 2019. Exploiting the convergence of evidence in satellite data for advanced weather index insurance design. Weather, Climate, and Society. 11:65-93. https://doi.org/10.1175/WCAS-D-17-0111.1.

Utility of the Two-Source Energy Balance (TSEB) model in vine and interrow flux partitioning over the growing season Reprint Icon - (Peer Reviewed Journal)
Kustas, W.P., Alfieri, J.G., Nieto, H., Wilson, T.G., Gao, F.N., Anderson, M.C. 2018. Utility of the Two-Source Energy Balance (TSEB) model in vine and interrow flux partitioning over the growing season. Irrigation Science. https://doi.org/10.1007/s00271-018-0586-8.

Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery Reprint Icon - (Peer Reviewed Journal)
Nieto, H., Kustas, W.P., Torres, A., Alfieri, J.G., Gao, F.N., Anderson, M.C., White, W.A., Song, L., Alsina, M., Prueger, J.H., McKee, L.G. 2018. Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrigation Science. https://doi.org/10.1007/s00271-018-0585-9.

Estimating time-dependent vegetation biases in the SMAP soil moisture product Reprint Icon - (Peer Reviewed Journal)
Zwieback, S., Colliander, A., Cosh, M.H., Martinez, F., McNairn, H., Starks, P.J., Thibeault, M., Berg, A. 2018. Estimating time-dependent vegetation biases in the SMAP soil moisture product. Hydrology and Earth System Sciences. 22(8):4473-4489. https://doi.org/10.5194/hess-22-4473-2018.

Determining a robust indirect measurement of leaf area index in California vineyards for validating remote sensing-based retrievals Reprint Icon - (Peer Reviewed Journal)
White, W.A., Alsina, M., Nieto, H., McKee, L.G., Gao, F.N., Kustas, W.P. 2018. Determining a robust indirect measurement of leaf area index in California vineyards for validating remote sensing-based retrievals. Irrigation Science. https://doi.org/10.1007/s00271-018-0614-8.

Comparison of agricultural stakeholder survey results and drought monitoring datasets during the 2016 U.S. northern Plains flash drought Reprint Icon - (Peer Reviewed Journal)
Oktin, J., Haigh, T., Mucia, A., Anderson, M.C., Hain, C. 2018. Comparison of agricultural stakeholder survey results and drought monitoring datasets during the 2016 U.S. northern Plains flash drought. Weather, Climate, and Society. 10:867-883. https://doi.org/10.1175/WCAS-D-18-0051.1.

Spatial and temporal variability of root-zone soil moisture acquired from hydrologic modeling and AirMOSS P-band radar Reprint Icon - (Peer Reviewed Journal)
Crow, W.T., Malik, S., Moghaddam, M., Tabatabaeenejad, A., Jaruwatanadilok, S., Yu, X., Shi, Y., Riechle, R., Hagimoto, Y., Cuenca, R. 2018. Spatial and temporal variability of root-zone soil moisture acquired from hydrologic modeling and AirMOSS P-band radar. IEEE Journal of Selected Topics in Applied Remote Sensing. 11(12):4578-4590. https://doi.org/10.1109/JSTARS.2018.2865251.

The retrieval of high-resolution LAI from Landsat data by combining MODIS products Reprint Icon - (Peer Reviewed Journal)
Zhou, J., Zhang, S., Yang, H., Xiao, Z., Gao, F.N. 2018. The retrieval of high-resolution LAI from Landsat data by combining MODIS products. Remote Sensing. 10(8):1187. https://doi.org/10.3390/rs10081187.

Mapping daily leaf area index at 30m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data Reprint Icon - (Peer Reviewed Journal)
Li, Z., Huag, C., Zhu, Z., Gao, F.N., Tang, H., Xin, X., Ding, L., Shen, B., Liu, J., Chen, B., Wang, X., Yan, R. 2018. Mapping daily leaf area index at 30m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data. International Journal of Remote Sensing. 39(23):9025-9053. https://doi.org/10.1080/01431161.2018.1504342.

The added value of assimilating remotely sensed soil moisture for analysis of soil moisture-air temperature interactions Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T. 2018. The added value of assimilating remotely sensed soil moisture for analysis of soil moisture-air temperature interactions. Water Resources Research. 54:6072-6084. https://doi.org/10.1029/2018WR022619.

Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil Reprint Icon - (Peer Reviewed Journal)
Mariano, D., Santos, C., Wardlow, B., Anderson, M.C., Schiltmeyer, A., Tadesse, T., Svoboda, M. 2018. Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil. Remote Sensing of Environment. 213:129-143. https://doi.org/10.1016/j.rse.2018.04.048.

Evaluation of soil resistance formulations for estimates of sensible heat flux in a desert vineyard Reprint Icon - (Peer Reviewed Journal)
Li, Y., Kustas, W.P., Huang, C., Kool, D., Haghighi, E. 2018. Evaluation of soil resistance formulations for estimates of sensible heat flux in a desert vineyard. Agricultural and Forest Meteorology. https://doi.org/10.1O6/j.agrformet.2018.06.019.

Impacts of Global Circulation Model (GCM) bias and WXGEN on modeling hydrologic variables Reprint Icon - (Peer Reviewed Journal)
Lee, S., Wallace, C., Sadeghi, A.M., McCarty, G.W., Zhong, H., Yeo, I. 2018. Impacts of Global Circulation Model (GCM) bias and WXGEN on modeling hydrologic variables. Water. 10(6):764. https://doi.org/10.3390/w10060764.

The efficiency of data assimilation Reprint Icon - (Peer Reviewed Journal)
Nearing, G., Yatheendradas, S., Crow, W.T., Zhan, X., Liu, J., Chen, F. 2018. The efficiency of data assimilation. Water Resources Research. 54(9):6374-6392. https://doi.org/10.1029/2017WR020991.

Modelling surface energy fluxes over a dehesa (oak savanna) ecosystem using a thermal based two source energy balance model (TSEB) II – integration of remote sensing medium and low spatial resolution satellite images Reprint Icon - (Peer Reviewed Journal)
Andreu, A., Kustas, W.P., Polo, M., Carrara, A., Gonzalez-Dugo, M. 2018. Modelling surface energy fluxes over a dehesa (oak savanna) ecosystem using a thermal based two source energy balance model (TSEB) II – integration of remote sensing medium and low spatial resolution satellite images. Agricultural Water Management. https://doi.org/10.3390/rs10040567.

Field-scale assessment of land and water use change over the California Delta using remote sensing Reprint Icon - (Peer Reviewed Journal)
Anderson, M.C., Gao, F.N., Knipper, K.R., Hain, C., Dulaney, W.P., Baldocchi, D., Eichelmann, E., Hemes, K., Yang, Y., Medellin, A., Kustas, W.P. 2018. Field-scale assessment of land and water use change over the California Delta using remote sensing. Remote Sensing. 10(6):889. https://doi.org/10.3390/rs10060889.

Estimating basin-scale water budgets with SMAP soil moisture data Reprint Icon - (Peer Reviewed Journal)
Koster, R., Crow, W.T., Reichle, R., Mahanama, S. 2018. Estimating basin-scale water budgets with SMAP soil moisture data. Water Resources Research. 54(7):4228-4244. https://doi.org/10.1029/2018WR022669.

Modelling surface energy fluxes over a dehesa (oak savanna) ecosystem using a thermal based two source energy balance model (TSEB) I Reprint Icon - (Peer Reviewed Journal)
Andreu, A., Kustas, W.P., Polo, M., Carrara, A., Gonzalez-Dugo, M. 2018. Modelling surface energy fluxes over a dehesa (oak savanna) ecosystem using a thermal based two source energy balance model (TSEB) I. Remote Sensing. https://doi.org/10.3390/rs10040567.

Downscaling of SMAP soil moisture using land surface temperature and vegetation data Reprint Icon - (Peer Reviewed Journal)
Fang, B., Laskshmi, V., Bindlish, R., Jackson, T.J. 2018. Downscaling of SMAP soil moisture using land surface temperature and vegetation data. Vadose Zone Journal. 17:170198. https://doi.org/10.2136/vzj2017.11.0198.

Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation Reprint Icon - (Peer Reviewed Journal)
Chen, F., Crow, W.T., Bindlish, R., Colliander, A., Burgins, M., Asanuma, J., Aida, K. 2018. Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation. Remote Sensing of Environment. 214:1-13. https://doi.org/10.1016/j.rse.2018.05.008.

Groundwater withdrawals under drought: reconciling GRACE and land surface models in the United States High Plains Aquifer - (Peer Reviewed Journal)
Nie, W., Zaitchik, B., Rodell, M., Kumar, S., Anderson, M.C., Hain, C. 2018. Groundwater withdrawals under drought: reconciling GRACE and land surface models in the United States High Plains Aquifer. Water Resources Research. https://doi.org/10.1029/2017WR022178.

Priority questions in multidisciplinary drought research Reprint Icon - (Peer Reviewed Journal)
Trnka, M., Hayes, M., Jurecka, F., Bartosova, L., Anderson, M.C., Brazdil, R., Brown, J., Camarero, J., Cudlin, P., Dobrovolny, P., Eitzinger, J., Feng, S., Finnessey, T., Gregoric, G., Havlik, P., Hain, C., Holman, I., Johnson, D., Kersebaum, K., Ljunggvist, F., Luterbacher, J., Micale, F., Hartl-Meier, C., Mozny, M., Nejedlik, P. 2018. Priority questions in multidisciplinary drought research. Climate Research. 75:241-260. https://doi.org/10.3354/cr01509.

SMAP Level 4 soil moisture estimates reveal possible bias in the runoff response of land surface models Reprint Icon - (Peer Reviewed Journal)
Crow, W.T., Chen, F., Reiche, R., Xia, Liu, Q. 2018. SMAP Level 4 soil moisture estimates reveal possible bias in the runoff response of land surface models. Geophysical Research Letters. 45(10):4869-4878. https://doi.org/10.1016/j.rse.2018.05.008.

A water balance based, spatiotemporal evaluation of terrestrial evapotranspiration products across the contiguous United States - (Peer Reviewed Journal)
Carter, E., Hain, C., Anderson, M.C., Steinscheider, S. 2018. A water balance based, spatiotemporal evaluation of terrestrial evapotranspiration products across the contiguous United States. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-17-0186.1.

Assessment of spatiotemporal fusion algorithms for Planet and Worldview images Reprint Icon - (Peer Reviewed Journal)
Kwan, C., Zhu, X., Gao, F.N., Chou, B., Perez, D., Li, J., Shen, Y., Koperski, K., Marchsio, G. 2018. Assessment of spatiotemporal fusion algorithms for Planet and Worldview images. Sensors. 18(4):1051. https://doi.org/10.3390/s18041051.

The grape remote sensing atmospheric profile and evapotranspiration experiment Reprint Icon - (Peer Reviewed Journal)
Kustas, W.P., Anderson, M.C., Alfieri, J.G., Knipper, K.R., Torres, A., Parry, C.K., Nieto, H., Agam, N., White, W.A., Gao, F.N., McKee, L.G., Prueger, J.H., McElrone, A.J., Los, S., Alsina, M., Sanchez, L., Sam, B., Dokoozlian, N., McKee, M., Jones, S., Hipps, L., Heitman, J., Howard, A., Post, K., Melton, F. 2018. An overview of the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Bulletin of the American Meterological Society. 99(9):1791-1812. https://doi.org/10.1175/BAMS-D-16-0244.1.

The Grape Remote Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX): a multidisciplinary project to develop a robust remote sensing-based ET modeling tool for vineyards - (Abstract Only)
Kustas, W.P. 2017. The Grape Remote Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX): a multidisciplinary project to develop a robust remote sensing-based ET modeling tool for vineyards. International Conference on Dryland Development. P.84

The Grape Remote Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX)-a synopsis - (Abstract Only)

An initial assessment of SMAP soil moisture disaggregation scheme using TIR surface evaporation data over the continental United States - (Peer Reviewed Journal)
Mishra, V., Ellenburg, W., Griffin, R., Mecikalski, J., Hain, C., Anderson, M.C. 2018. An initial assessment of SMAP soil moisture disaggregation scheme using TIR surface evaporation data over the continental United States. International Journal of Applied Earth Observation and Geoinformation. 68:92-104.

An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites Reprint Icon - (Peer Reviewed Journal)
Colliander, A., Jackson, T.J., Chan, S., O'Neill, P., Bindlish, R., Cosh, M.H., Caldwell, T., Walker, J., Berg, A., McNairn, H., Thibeault, M., Martinez-Fernandez, J., Jensen, K., Asanuma, J., Seyfried, M.S., Bosch, D.D., Starks, P., Holifield Collins, C.D., Prueger, J.H., Su, Z., Lopez-Beeza, E., Yeuh, S. 2018. An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites. Remote Sensing of Environment. 207:65-70.

Downscaling of surface soil moisture retrieval by combining MODIS/Landsat and in situ measurements Reprint Icon - (Peer Reviewed Journal)
Xu, C., Qu, J., Hao, Cosh, M.H., Prueger, J.H., Zhu, Z., Gutenberg, L. 2018. Downscaling of surface soil moisture retrieval by combining MODIS/Landsat and in situ measurements. Remote Sensing. 10(2):210. https://doi.org/10.3390/rs10020210.

Field and laboratory evaluation of the CS655 soil water content sensor Reprint Icon - (Peer Reviewed Journal)
Caldwell, T., Bongiovanni, T., Cosh, M.H., Halley, C., Young, M. 2018. Field and laboratory evaluation of the CS655 soil water content sensor. Vadose Zone Journal. 17:170214. https://doi.org/10.2136/vzj2017.12.0214.

Field-scale mapping of evaporative stress indicators of crop yield: an application over Mead, Nebraska - (Peer Reviewed Journal)
Yang, Y., Anderson, M.C., Gao, F.N., Wardlow, B., Hain, C., Otkin, J., Alfieri, J.G., Yang, Y., Sun, L., Dulaney, W.P. 2018. Field-scale mapping of evaporative stress indicators of crop yield: an application over Mead, Nebraska. Remote Sensing of Environment. 210:387-402.

Spatially enhanced passive microwave derived soil moisture: capabilities and opportunities - (Peer Reviewed Journal)
Sabaghty, S., Walker, J., Renzuillo, L., Jackson, T.J. 2018. Spatially enhanced passive microwave derived soil moisture: capabilities and opportunities. Remote Sensing of Environment. 209:551-580.

Microwave implementation of two-source energy balance approach for estimating evapotranspiration Reprint Icon - (Peer Reviewed Journal)
Holmes, T., Hain, C., Crow, W.T., Anderson, M.C., Kustas, W.P. 2018. Microwave implementation of two-source energy balance approach for estimating evapotranspiration. Hydrology and Earth System Sciences. 22:1351-1369. https://doi.org/10.5194/hess-22-1351-2018.

Evaluation of the tau-omega model for passive microwave soil moisture retrieval using SMAPEx data sets - (Peer Reviewed Journal)
Gao, Y., Walker, J., Ye, N., Panciera, R., Monerris, A., Ryu, D., Rudiger, C., Jackson, T.J. 2018. Evaluation of the tau-omega model for passive microwave soil moisture retrieval using SMAPEx data sets. IEEE Journal of Selected Topics in Applied Remote Sensing. 11(3):1-10.

Estimating surface soil moisture from SMAP observations using a neural network technique Reprint Icon - (Peer Reviewed Journal)
Kolassa, J., Reichle, R., Lui, Q., Alemohammad, S., Gentine, P., Aida, K., Asanuma, J., Bircher, S., Caldwell, T., Colliander, A., Cosh, M.H., Holifield Collins, C.D., Jackson, T.J., Jensen, K., Martinez-Fernandez, J., Mcnairn, H., Pacheco, A., Thibeault, M., Walker, J. 2018. Estimating surface soil moisture from SMAP observations using a neural network technique. Remote Sensing of Environment. 204:43-59. https://doi.org/10.1016/j.rse.2017.10.045.

Temporal transferability of soil moisture calibration equations Reprint Icon - (Peer Reviewed Journal)
Rowlandson, T., Berg, A., Bullock, P., Hanis-Gervais, K., Ojo, E., Cosh, M.H., Powers, J., McNairn, H. 2018. Temporal transferability of soil moisture calibration equations. Journal of Hydrology. 556:349-358. https://doi.org/10.1016/j.jhydrol.2017.11.023.

Global-scale assessment and combination of SMAP with ASCAT (Active) and AMSR2 (Passive) soil moisture products Reprint Icon - (Peer Reviewed Journal)
Kim, H., Parinussa, R., Konings, A., Wagner, W., Cosh, M.H., Lakshmi, V., Zohaib, M., Choi, M. 2018. Global-scale assessment and combination of SMAP with ASCAT (Active) and AMSR2 (Passive) soil moisture products. Remote Sensing of Environment. 204:260-275. https://doi.org/10.1016/j.rse.2017.10.026.

Assimilation of spatially sparse in situ soil moisture networks into a continuous model domain Reprint Icon - (Peer Reviewed Journal)
Gruber, A., Crow, W.T., Dorigo, W. 2018. Assimilation of spatially sparse in situ soil moisture networks into a continuous model domain. Water Resources Research. 54:1353-1367. https://doi.org/10.1002/2017WR021277.

The error structure of the SMAP single and dual channel soil moisture retrievals Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T. 2017. The error structure of the SMAP single and dual channel soil moisture retrievals. Geophysical Research Letters. 45:758-765. https://doi.org/10.1002/2017JD027397.

Multi-time scale analysis of the spatial representativeness of in situ soil moisture data within satellite footprints Reprint Icon - (Peer Reviewed Journal)
Molero, B., Leroux, D., Richaume, P., Kerr, Y., Merlin, O., Cosh, M.H., Bindlish, R. 2018. Multi-time scale analysis of the spatial representativeness of in situ soil moisture data within satellite footprints. Journal of Geophysical Research. 123(1):3-21. https://doi.org/10.1002/2017JD027478.

Triple collocation based merging of satellite soil moisture retrievals Reprint Icon - (Peer Reviewed Journal)
Gruber, A., Dorigo, W., Crow, W.T., Wagner, W. 2017. Triple collocation based merging of satellite soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing. 55(12):6780-6792. https://doi.org/10.1109/TGRS.2017.2734070.

Global assessment of the SMAP level-4 surface and root-zone soil moisture product using assimilation diagnostics Reprint Icon - (Peer Reviewed Journal)
Riechle, R., De Lannoy, G., Liu, Q., Koster, R., Kimball, J., Crow, W.T., Ardizzone, J., Chakraborty, P., Collins, D., Conasty, A., Girotti, M., Jones, L., Kolassa, J., Lievens, H., Lucchesi, R., Smith, E. 2017. Global assessment of the SMAP level-4 surface and root-zone soil moisture product using assimilation diagnostics. Journal of Hydrometeorology. 18(12):3217-3237. https://doi.org/10.1175/JHM-D-17-0130.1.

Evaluating the applicability of four recent satellite–gauge combined precipitation estimates for extreme precipitation and streamflow predictions over the upper Yellow river basin in China Reprint Icon - (Peer Reviewed Journal)
Su, J., Lu, H., Zhu, Y., Sadeghi, A.M. 2017. Evaluating the applicability of four recent satellite–gauge combined precipitation estimates for extreme precipitation and streamflow predictions over the upper Yellow river basin in China. Remote Sensing. https://doi.org/10.3390/rs9111176.

Evaluate the role of evapotranspiration remote sensing data in improving hydrological modeling predictability - (Peer Reviewed Journal)
Herman, M., Najadhashemi, P., Abouali, M., Hernandez-Suarez, J., Daneshvar, F., Zhen, Z., Anderson, M.C., Sadeghi, A.M., Hain, C., Sharifi, A. 2017. Evaluate the role of evapotranspiration remote sensing data in improving hydrological modeling predictability. Journal of Hydrology. 556:39-49.

Flash droughts: a review and assessment of the challenges imposed by rapid onset droughts in the United States Reprint Icon - (Peer Reviewed Journal)
Otkin, J., Svoboda, M., Hunt, E., Anderson, M.C., Hain, C., Basara, J. 2018. Flash droughts: a review and assessment of the challenges imposed by rapid onset droughts in the United States. Bulletin of the American Meterological Society. 99: 911-919. https://doi.org/10.1175/BAMS-D-17-0149.1.

An improved triple collocation algorithm for decomposing autocorrelated and white soil moisture retrieval errors Reprint Icon - (Peer Reviewed Journal)
Dong, J., Crow, W.T. 2017. An improved triple collocation algorithm for decomposing autocorrelated and white soil moisture retrieval errors. Journal of Geophysical Research. 122(24):13,081-13,094. https://doi.org/10.1002/2017JD027397.

GCOM-W AMSR2 soil moisture product validation using core validation sites Reprint Icon - (Peer Reviewed Journal)
Bindlish, R., Cosh, M.H., Jackson, T.J., Koike, T., Fuiji, X., De Jeu,, R., Chan, S., Asanuma, J., Berg, A., Bosch, D.D., Caldwell, T., Holifield Collins, C.D., McNairn, H., Martinez-Fernandez, J., Prueger, J.H., Rowlandson, T., Seyfried, M.S., Starks, P.J., Su, Z., Thibeault, M., van der Velde, R., Walker, J., Coopersmith, E. 2018. GCOM-W AMSR2 soil moisture product validation using core validation sites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(1):209-219. https://doi.org/10.1109/JSTARS.2017.2754293.

Data assimilation to extract soil moisture information from SMAP observations Reprint Icon - (Peer Reviewed Journal)
Kolassa, J., Reichle, R., Liu, Q., Cosh, M.H., Bosch, D.D., Caldwell, T., Colliander, A., Holifield Collins, C.D., Jackson, T.J., Livingston, S.J., Moghaddam, M., Starks, P.J. 2017. Data assimilation to extract soil moisture information from SMAP observations. Remote Sensing. 9(11):1179. https://doi.org/10.3390/rs9111179.

An assessment of the accuracy of global rainfall estimates without ground-based observations Reprint Icon - (Peer Reviewed Journal)
Massari, C., Crow, W.T., Brocca, L. 2017. An assessment of the accuracy of global rainfall estimates without ground-based observations. Hydrology and Earth System Sciences. 21:4347-4361. https://doi.org/10.5194/hess-21-4347-2017.

Monitoring water use and stress with evapotranspiration estimates derived using thermal-based satellite remote sensing in California vineyards - (Abstract Only)
Knipper, K., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Prueger, J.H., Gao, F., McKee, L.G., Hipps, L.E., Alsina, M. 2018. Monitoring water use and stress with evapotranspiration estimates derived using thermal-based satellite remote sensing in California vineyards. AMS Annual Meeting Abstract. [online] https://ams.confex.com/ams/98Annual/webprogram/Paper327040.html.

Toward the development of protocols for soil moisture measurement and monitoring - (Abstract Only)
Cosh, M.H., Berg, A., Bindlish, R., Caldwell, T., Colliander, A., Jackson, T.J., Ochsner, T., Qu, J.J., Quiring, S.M. 2017. Toward the development of protocols for soil moisture measurement and monitoring [abstract]. 32nd Conference on Hydrology. Paper No. J39.5. Available: https://ams.confex.com/ams/98Annual/webprogram/Paper335900.html.

Soil moisture monitoring with long term in situ sensors: Lessons from MOISST - (Abstract Only)
Cosh, M.H., Ochsner, T., Mckee, L.G., Coopersmith, E., Dong, G., Small, E., Zreda, M., Qu, J. 2017. Soil moisture monitoring with long term in situ sensors: Lessons from MOISST. American Geophysical Union. Abstract No. H51E-0624.

Vegetation water content mapping for agricultural regions in SMAPVEX16 - (Abstract Only)
White, W.A., Cosh, M.H., Mckee, L.G., Berg, A., Mcnairn, H., Hornbuckle, B., Colliander, A., Jackson, T.J. 2017. Vegetation water content mapping for agricultural regions in SMAPVEX16. American Geophysical Union. Abstract No. H51E-0634.

L-band brightness temperature disaggregation for use with S-band and C-band radiometer data for WCOM - (Abstract Only)
Yao, P., Shi, J., Zhao, T., Cosh, M.H., Bindlish, R. 2017. L-band brightness temperature disaggregation for use with S-band and C-band radiometer data for WCOM. American Geophysical Union. Abstract No. H53J-2089.

Spatial downscaling of SMAP soil moisture using MODIS land surface temperature and NDVI during SMAPVEX15 - (Peer Reviewed Journal)
Colliander, A., Fisher, J., Halverson, G., Merlin, O., Misra, S., Bindlish, R., Jackson, T.J., Yeuh, S. 2017. Spatial downscaling of SMAP soil moisture using MODIS land surface temperature and NDVI during SMAPVEX15. Geoscience and Remote Sensing Letters. 14:2107-2111.

Modeling L-band synthetic aperture radar observations through dielectric changes in soil moisture and vegetation over shrublands - (Peer Reviewed Journal)
Kim, S., Arii, M., Jackson, T.J. 2017. Modeling L-band synthetic aperture radar observations through dielectric changes in soil moisture and vegetation over shrublands. IEEE Journal of Selected Topics in Applied Remote Sensing. 10:4753-62.

Correcting satellite-based precipitation products through SMOS soil moisture data assimilation in two land-surface models of different complexity: API and SURFEX Reprint Icon - (Peer Reviewed Journal)
Roman-Cascon, C., Pellarin, T., Gibon, F., Cosme, E., Kerr, Y., Brocca, L., Massari, C., Crow, W.T., Fernanez, D. 2017. Correcting satellite-based precipitation products through SMOS soil moisture data assimilation in two land-surface models of different complexity: API and SURFEX. Remote Sensing of Environment. 200:295-310. https//doi.org/10.1016/j.rse.2017.08.022.

Quantifying agricultural drought in tallgrass prairie region in the U.S. Southern Great Plains through analysis of a water-related vegetation index from MODIS images - (Peer Reviewed Journal)
Zhou, Y., Xiao, X., Zhang, G., Wagle, P., Bajgain, R., Dong, J., Jin, C., Basara, J., Anderson, M.C., Hain, C., Otkin 2017. Quantifying agricultural drought in tallgrass prairie region in the U.S. Southern Great Plains through analysis of a water-related vegetation index from MODIS images. Agricultural and Forest Meteorology. 246:111-122.

Parsimonious mathematical characterization of channel shape and size Reprint Icon - (Peer Reviewed Journal)
Moglen, G.E. 2017. Parsimonious mathematical characterization of channel shape and size. Journal Hydrologic Engineering. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001588.

An intercomparison of evapotranspiration estimates derived using thermal-based satellite remote sensing for irrigation management in California vineyards - (Abstract Only)
Knipper, K., Kustas, W.P., Anderson, M.C., Alfieri, J.G., Prueger, J.H., Gao, F., McKee, L.G., Hipps, L.E., Alsina, M. 2018. An intercomparison of evapotranspiration estimates derived using thermal-based satellite remote sensing for irrigation management in California vineyards [abstract]. Pecora Abstracts. p. 29.

Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates Reprint Icon - (Peer Reviewed Journal)
Lievens, H., Reichle, R., Liu, Q., De Lannoy, Dunbar, R., Kim, S., Das, N., Cosh, M.H., Walker, J., Wagner, W. 2018. Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates. Geophysical Research Letters. 44(12):6145-6153. https://doi.org/10.1002/2017GL073904.

Advancements in satellite remote sensing for drought monitoring - (Book / Chapter)

Long term time series analysis of co-incident soil water content sensor at the Marena Oklahoma In Situ Sensor Testbed - (Abstract Only)
Cosh, M.H., Ochsner, Tyson, McKee, L.G., Coopersmith, E., Dong, Geano, Evett, S.R., Sayde, Chadi, Small, Eric, Steele-Dunne, Susan, Zreda, Marek. 2017. Long term time series analysis of co-incident soil water content sensor at the Marena Oklahoma In Situ Sensor Testbed [abstract]. ASA-CSSA-SSSA Annual Meeting Abstracts. Paper No. 106020. Available: https://scisoc.confex.com/crops/2017am/webprogram/Paper106020.html.

Daily monitoring of vegetation conditions and evapotranspiration at field scale by fusing multi-satellite images - (Abstract Only)

Use of high resolution remotely sensed evapotranspiration retrievals for calibration of a process-based hydrologic model in data-poor basins - (Abstract Only)

Contemporary and restorable wetland water storage: A landscape perspective Reprint Icon - (Peer Reviewed Journal)
Jones, N., Evenson, G., Mclaughlin, D., Vanderhoff, M., Lang, M., McCarty, G.W., Alexander, L. 2017. Contemporary and restorable wetland water storage: A landscape perspective. Ecological Applications. https://doi.org/10.1002/hyp.11405.