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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.)

Sources and forecast implications for soil moisture/evapotranspiration over-coupling during L-band brightness temperature assimilation - (Peer Reviewed Journal)

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. 251:112055. https://doi.org/10.1016/j.rse.2020.112055.

Estimating and improving the rain/no-rain detection skill of remotely sensed and reanalyzed precipitation products - (Peer Reviewed Journal)

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.

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. 241:106361. 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.

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.

Climatological errors in remotely sensed and modeled surface and root-zone soil moisture - (Peer Reviewed Journal)

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.

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.

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., Moglen, G.E., Rabenhorst, M., McCarty, G.W. 2020. Assessing structural uncertainty of catchment-scale wetland modeling. Hydrology and Earth System Sciences. https://doi.org/10.1016/j.jhydrol.2020.124544.

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.

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.

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.

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.

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. Proceedings of the National Academy of Sciences. 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.