Research Project: From Field to Watershed: Enhancing Water Quality and Management in Agroecosystems through Remote Sensing, Ground Measurements, and Integrative Modeling

Location: Hydrology and Remote Sensing Laboratory

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

An observation-driven framework for modeling post-fire hydrologic response: evaluation for two central California case studies - (Peer Reviewed Journal)
Lahmers, T.M., Kumar, S.V., Ahmad, S., Holmes, T., Getirana, A., Orland, E., Locke, K., Biswas, N., Nie, W., Pflug, J., Whitney, K., Anderson, M.C., Yang, Y. 2025. An observation-driven framework for modeling post-fire hydrologic response: evaluation for two central California case studies. Water Resources Research. 61(2). Article e2023WR036582. https://doi.org/10.1029/2023WR036582.

Impact of surface soil moisture retrieval period on land surface regime detection skill - (Peer Reviewed Journal)

Development of low-cost handheld soil moisture measurement device for farmers and citizen scientists - (Peer Reviewed Journal)
Mane, S., Singh, G., Das, N., Kanungo, A., Cosh, M.H., Dong, Y. 2025. Development of low-cost handheld soil moisture measurement device for farmers and citizen scientists. Frontiers in Environmental Science. 13. https://doi.org/10.3389/fenvs.2025.1590662.

Soil moisture active passive soil moisture validation experiment withing the Canadian Boreal Forest in 2022 (SMAPVEX22-Boreal) - (Peer Reviewed Journal)
Berg, A., Wicks, K., Thomas, J., Roy, A., Magagi, R., Helgason, W., Colliander, A., Cosh, M.H., Tetlock, E., Gorrab, A., Roy, C., Salmabadi, H., Amini, Y. 2025. Soil Moisture Active Passive Soil Moisture Validation Experiment withing the Canadian Boreal Forest in 2022 (SMAPVEX22-Boreal). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18:11816-11834. https://doi.org/10.1109/JSTARS.2025.3564195.

Beyond radiation use efficiency: A mechanistic biochemical photosynthesis model for crop growth simulation and agroecosystem modeling - (Peer Reviewed Journal)
Hu, T., Zhang, X., Khanai, S., Zhao, K. 2025. Beyond radiation use efficiency: A mechanistic biochemical photosynthesis model for crop growth simulation and agroecosystem modeling. Computers and Electronics in Agriculture. 233. https://doi.org/10.1016/j.compag.2025.110199.

Wood decomposition in poorly-drained forested wetland soils: How important are termites? - (Peer Reviewed Journal)
Adams, M., Miller, C., Mccarty, G.W., Lang, M., Strano, S., Rizzo, A., Page-Dumroese, D., Jurgensen, M. 2025. Wood decomposition in poorly-drained forested wetland soils: How important are termites?. Journal of Soil Biology and Biochemistry. 204. https://doi.org/10.1016/j.soilbio.2025.109754.

Soil moisture estimates using -band airborne SAR over forests replicating NISAR observations - (Peer Reviewed Journal)
Kim, S., Xu, X., Colliander, A., Cosh, M.H., Kraatz, S.G., Kelly, V., Siqueira, P. 2025. Soil moisture estimates using -band airborne SAR over forests replicating NISAR observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18:7364-7373. https://doi.org/10.1109/JSTARS.2025.3544095.

Estimating vegetation optical depth with mobile GNSS transmissiometry in temperate forests during SMAPVEX’22 - (Peer Reviewed Journal)
Ghosh, A., Farhadi, M., Hoque, M.E., Boyd, D., Bourgeau-Chavez, L., Cosh, M.H., Colliander, A., Kurum, M. 2025. Estimating vegetation optical depth with mobile GNSS transmissiometry in temperate forests during SMAPVEX’22. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18:6451-6463. https://doi.org/10.1109/JSTARS.2025.3541182.

SMAP Validation Experiment 2019-2022 (SMAPVEX19-22): Field campaign to improve soil moisture and vegetation optical depth retrievals in temperate forests - (Peer Reviewed Journal)
Colliander, A., Cosh, M.H., Bourgeau-Chavez, L., Kelly, V., Kraatz, S.G., Siqueira, P., Walker, V.A., Chen, X., Roy, A., Lakhankar, T., Mcdonald, K., Steiner, N., Kurum, M. 2025. SMAP Validation Experiment 2019-2022 (SMAPVEX19-22): Field campaign to improve soil moisture and vegetation optical depth retrievals in temperate forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18:10749-10771. https://doi.org/10.1109/JSTARS.2025.3553085.

Comparative assessment of a restored and natural wetland using 13C-DNA SIP reveals a higher potential for methane production in the restored wetland - (Peer Reviewed Journal)
Hamovit, N., Roychowdhury, T., Akob, D., Zhang, X., Mccarty, G.W., Yarwood, S. 2025. Comparative assessment of a restored and natural wetland using 13C-DNA SIP reveals a higher potential for methane production in the restored wetland. Applied and Environmental Microbiology. 91(3). https://doi.org/10.1128/aem.02161-24.

Full-wave simulations of forest at L-band with fast hybrid multiple scattering theory method and comparison with GNSS signals - (Peer Reviewed Journal)
Jeong, J., Tsang, L., Kurum, M., Ghosh, A., Colliander, A., Yueh, S., Mcdonald, K., Steiner, N., Cosh, M.H. 2025. Full-wave simulations of forest at L-band with fast hybrid multiple scattering theory method and comparison with GNSS signals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18:5395-5405. https://doi.org/10.1109/JSTARS.2025.3533313.

Soil surface roughness in temperate forest during SMAPVEX19-22 - (Peer Reviewed Journal)
Walker, V.A., Cosh, M.H., White, W.A., Colliander, A., Kelly, V., Siqueira, P. 2025. Soil surface roughness in temperate forest during SMAPVEX19-22. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18:4640-4647. https://doi.org/10.1109/JSTARS.2025.3530710.

Water regulation mitigates but does not eliminate water scarcity under rapid economic growth - (Peer Reviewed Journal)
Wang, Y., Zhou, Y., Zhang, X., Franz, K., Jia, G. 2024. Water regulation mitigates but does not eliminate water scarcity under rapid economic growth . Resources Conservation and Recycling. 215. https://doi.org/10.1016/j.resconrec.2024.108098.

Relating spatial turfgrass quality to actual evapotranspiration for precision golf course irrigation - (Peer Reviewed Journal)
Meza, K., Torres-Rua, A., Hipps, L., Kopp, K., Straw, C., Kustas, W.P., Christiansen, L., Coopmans, C., Gowing, I. 2025. Relating spatial turfgrass quality to actual evapotranspiration for precision golf course irrigation. Crop Science. https://doi.org/10.1002/csc2.21446.

A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops - (Peer Reviewed Journal)
Cammalleri, C., Anderson, M.C., Bambach, N., Mcelrone, A.J., Knipper, K.R., Roby, M.C., Ciraolo, G., Decaro, D., Ippolito, M., Corbari, C., Ceppi, A., Mancini, M., Kustas, W.P. 2024. A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2024.109207.

Two-source energy balance schemes exploiting land surface temperature and soil moisture for continuous vineyard water use estimation - (Peer Reviewed Journal)
Paciolla, N., Corbari, C., Kustas, W.P., Nieto, H., Alfieri, J.G., Gao, F.N., Prueger, J.H., Alsina, M., Hipps, L.E., Mckee, L.G., Mcelrone, A.J., Bambach, N. 2024. Two-source energy balance schemes exploiting land surface temperature and soil moisture for continuous vineyard water use estimation. Irrigation Science. 43:731-753. https://doi.org/10.1007/s00271-024-00991-x.

Evaluating SWAT-3PG simulation of hydrologic and water quality processes in a forested watershed: A case study in the St. Croix River basin - (Peer Reviewed Journal)
Karki, R., Qi, J., Zhang, X., Srivastava, P.K. 2024. Evaluating SWAT-3PG simulation of hydrologic and water quality processes in a forested watershed: A case study in the St. Croix River basin. Journal of Hydrology. 648. https://doi.org/10.1016/j.jhydrol.2024.132393.

The conditional bias of extreme precipitation in multi-source merged datasets - (Peer Reviewed Journal)
Kang, X., Dong, J., Crow, W.T., Wei, L., Zhang, H. 2024. The conditional bias of extreme precipitation in multi-source merged datasets. Geophysical Research Letters. 51(22). Article e2024GL111378. https://doi.org/10.1029/2024GL111378.

Seasonal variation in landcover estimates reveals sensitivities and opportunities for environmental models - (Peer Reviewed Journal)
Myers, D., Jones, D., Oviedo-Vargas, D., Schmit, H., Ficklin, D., Zhang, X. 2024. Seasonal variation in landcover estimates reveals sensitivities and opportunities for environmental models. Hydrology and Earth System Sciences. 28:5295-5310. https://doi.org/10.5194/hess-28-5295-2024.

Synergistic water quality and soil organic carbon sequestration benefits of winter cover crops - (Peer Reviewed Journal)
Zhang, X., Wang, Y., Lee, S., Liang, K., Zhao, K., Mccarty, G.W., Alfieri, J.G., Moglen, G.E., Hively, W.D., Myers, D., Oviedo-Vargas, D., Nguyeng, T.V., Hinson, A.L. 2025. Synergistic water quality and soil organic carbon sequestration benefits of winter cover crops. Journal of Environmental Management. 371. https://doi.org/10.1016/j.jenvman.2024.123104.

Impacts of bioenergy crop cultivation on regional climate, hydrology, and water quality in the U.S. northern high plains - (Peer Reviewed Journal)
Dangol, S., Zhang, X., Sun, C., Liang, K., Liang, X. 2025. Impacts of bioenergy crop cultivation on regional climate, hydrology, and water quality in the U.S. northern high plains. Water Resources Research. 61(2). Article e2024WR037782. https://doi.org/10.1029/2024WR037782.

Diel greenhouse gas emissions demonstrate a strong response to vegetation patch types in a freshwater wetland - (Peer Reviewed Journal)
Taylor, K.J., Sharp, S.J., Stewart, G.A., Williams, M.R., Mccarty, G.W., Palmer, M.A. 2024. Diel greenhouse gas emissions demonstrate a strong response to vegetation patch types in a freshwater wetland. Journal of Geophysical Research-Biogeosciences. 129(11). https://doi.org/10.1029/2024JG008193.

Reactive nitrogen in and around the northeastern and Mid-atlantic US: Sources, sinks, and connections with ozone - (Peer Reviewed Journal)
Huang, M., Carmichael, G.R., Crawford, J.H., Bowman, K.W., De Smedt, I., Colliander, A., Cosh, M.H., Kumar, S., Guenther, A.B., Janz, S.J., Stauffer, R.M., Thompson, A.M., Fedkin, N.M. 2025. Reactive nitrogen in and around the northeastern and Mid-atlantic US: Sources, sinks, and connections with ozone. Atmospheric Chemistry and Physics. 25:1449-1476. https://doi.org/10.5194/acp-25-1449-2025.

Field scale partitioning of Landsat land surface temperature into soil and canopy components for evapotranspiration assessment using a two-source energy balance model - (Peer Reviewed Journal)
Cammalieri, C., Anderson, M.C., Bambach, N., Mcelrone, A.J., Knipper, K.R., Roby, M.C., Kustas, W.P. 2024. Field scale partitioning of Landsat land surface temperature into soil and canopy components for evapotranspiration assessment using a two-source energy balance model. Irrigation Science. https://doi.org/10.1007/s00271-024-00976-w.

Vegetation crosstalk present in official SMAP surface soil moisture retrievals - (Peer Reviewed Journal)
Crow, W.T., Feldman, A. 2024. Vegetation crosstalk present in official SMAP surface soil moisture retrievals. Remote Sensing of Environment. 316. https://doi.org/10.1016/j.rse.2024.114466.

Multivariate evaluation of flash drought across the United States - (Peer Reviewed Journal)
Otkin, J., Zhong, Y., Ford, T.W., Anderson, M.C., Hain, C., Hoell, A., Svoboda, M., Wang, H. 2024. Multivariate evaluation of flash drought across the United States. Water Resources Research. https://doi.org/10.1029/2024WR037333.

Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy - (Peer Reviewed Journal)
Cammalleri, C., Anderson, M.C., Corbari, C., Yang, Y., Hain, C.R., Salamon, P., Mancini, M. 2024. Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2024.132209.

The Long-Term Agroecosystem Research Network: Cross-site transdisciplinary science to support a sustainable and resilient agriculture - (Peer Reviewed Journal)
Tsegaye, T., Marlen, E., Hapeman, C.J., Kleinman, P.J., Baffaut, C., Browning, D.M., Coffin, A.W., Spiegal, S.A. 2024. The Long-Term Agroecosystem Research Network: Cross-site transdisciplinary science to support a sustainable and resilient agriculture. Journal of Environmental Quality. 53(6):777-786. https://doi.org/10.1002/jeq2.20649.

A global flash drought inventory based on soil moisture volatility - (Peer Reviewed Journal)
Osman, M., Zaitchik, B.F., Otkin, J., Anderson, M.C. 2024. A global flash drought inventory based on soil moisture volatility. Scientific Data. https://doi.org/10.1038/s41597-024-03809-9.

Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning - (Peer Reviewed Journal)
Wei, Z., Miao, L., Zhao, T., Meng, L., Lu, H., Peng, Z., Cosh, M.H., Fang, B., Lakshmi, V., Shi, J.C. 2024. Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning. IEEE Transactions on Geoscience and Remote Sensing. 313. https://doi.org/https://doi.org/10.1016/j.rse.2024.114371.

USDA LTAR Common Experiment measurement: Soil water content - (Research Notes)

Correction of thin cirrus absorption effects in Landsat 8 TIRS Images using the OLI cirrus band on the same satellite platform - (Peer Reviewed Journal)
Gao, B., Li, R., Yang, Y., Anderson, M.C. 2024. Correction of thin cirrus absorption effects in Landsat 8 TIRS Images using the OLI cirrus band on the same satellite platform. Sensors. 24. Article 4697. https://doi.org/10.3390/s24144697.

The utility and applicability of vegetation index based models for the spatial disaggregation of evapotranspiration - (Peer Reviewed Journal)
Munusamy, S., Rajasekjaran, E., Saraswat, D., Kustas, W.P., Bambach, N., Mcelrone, A., Castro, S.J., Prueger, J.H., Alfieri, J.G., Alsina, M.M. (2024) The utility and applicability of vegetation index based models for the spatial disaggregation of evapotranspiration. Irrigation Science. https://doi.org/10.1007/s00271-024-00963-1.

Validation of remotely sensed and modelled soil moisture at forested and unforested NEON sites - (Peer Reviewed Journal)
Ayres, E., Reichle, R., Colliander, A., Cosh, M.H., Smith, L. 2024. Validation of remotely sensed and modelled soil moisture at forested and unforested NEON sites. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17:14248-14264. https://doi.org/10.1109/JSTARS.2024.3430928.

High-throughput physiological phenotyping of crop evapotranspiration at the plot scale - (Peer Reviewed Journal)
Bai, G., Burdette, B., Scoby, D., Irmak, S., Luck, J., Neale, C., Schnable, J., Awada, G., Kustas, W.P., Ge, Y. 2024. High-throughput physiological phenotyping of crop evapotranspiration at the plot scale. Field Crops Research. https://doi.org/10.1016/j.fcr.2024.109507.

Streamflow characteristics and changes over the conterminous United States - (Peer Reviewed Journal)
Wang, Y., Zhang, X., Zhao, K., Singh, D. 2024. Streamflow characteristics and changes over the conterminous United States. Scientific Data. https://doi.org/10.1038/s41597-024-03618-0.

Responses of precipitation and water vapor budget on the Chinese Loess Plateau to global land cover change forcing - (Peer Reviewed Journal)
Qiu, L., Xue, Q., Wu, Y., Zhang, X., Wang, Y., Yang, K., Zhao, F., Yin, X. 2024. Responses of precipitation and water vapor budget on the Chinese Loess Plateau to global land cover change forcing. Journal of Environmental Management. 365. https://doi.org/10.1016/j.jenvman.2024.121588.

Global soil moisture from combined active and passive microwave observations: integrating ASCAT and SMAP observations based on machine learning approaches - (Peer Reviewed Journal)
Ma, H., Zeng, J., Wigneron, J., Li, X., Fu, P., Kolassa, J., Cosh, M.H. 2024. Global soil moisture from combined active and passive microwave observations: integrating ASCAT and SMAP observations based on machine learning approaches. Remote Sensing of Environment. 308:114197. https://doi.org/10.1016/j.rse.2024.114197.

P- and L-band radiometry retrieval of subsurface soil moisture and temperature profiles - (Peer Reviewed Journal)
Li, M., Lang, R.H., Cosh, M.H. 2024. P- and L-band radiometry retrieval of subsurface soil moisture and temperature profiles. IEEE Transactions on Geoscience and Remote Sensing. 62. https://doi.org/10.1109/TGRS.2024.3416988.

Status of the National Coordinated Soil Moisture Monitoring Network: Updates for 2024 - (Abstract Only)

Calculating a Minimum Overlap Period for Successful Intercalibration of Soil Moisture Sensors - (Abstract Only)

Numerical investigation of observational flux partitioning methods for water vapor and carbon dioxide - (Peer Reviewed Journal)
Zahn, E., Ghannam, K., Chameckecki, M., Moene, A., Kustas, W.P., Good, S., Bou-Zeild, E. 2024. Numerical investigation of observational flux partitioning methods for water vapor and carbon dioxide. Biogeosciences. 129. Article e2024JG008025. https://doi.org/10.1029/2024JG008025.

Remote sensing of drought: satellite-based monitoring tools for the United States - (Book / Chapter)
Wardlow, B., Anderson, M.C., Tadesse, T., Svoboda, M.S., Fuchs, B., Hain, C.R., Crow, W.T., Rodell, M. 2024. Remote sensing of drought: satellite-based monitoring tools for the United States. Remote Sensing. https://doi.org/10.1201/9781003541417-4.

Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data - (Peer Reviewed Journal)
Lee, S., Kim, D., McCarty, G.W., Anderson, M.C., Gao, F.N., Lei, F., Moglen, G.E., Zhang, X., Yen, H., Qi, Y., Crow, W.T., Yeo, I.Y., Sun, L. 2024. Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data. Heliyon. 10(10): Article e30923. https://doi.org/10.1016/j.heliyon.2024.e30923.

Retrieving forest soil moisture from SMAP observations considering a microwave polarization difference index (MPDI) to tau-omega model - (Peer Reviewed Journal)
Park, C., Colliander, A., Jagdhuber, T., Berg, A., Lee, J., Boo, K., Cosh, M.H. 2024. Retrieving forest soil moisture from SMAP observations considering a microwave polarization difference index (MPDI) to tau-omega model. Remote Sensing of Environment. 9. Article e100131. https://doi.org/10.1016/j.srs.2024.100131.

Calculating a minimum overlap period for successful intercalibration of soil moisture sensors - (Peer Reviewed Journal)
Walker, V.A., Cosh, M.H., Ochsner, T. 2024. Calculating a minimum overlap period for successful intercalibration of soil moisture sensors. Vadose Zone Journal. 23(4). Article e20346. https://doi.org/10.1002/vzj2.20346.

Combining spatial downscaling technique and diurnal temperature cycle model to acquire diurnal patterns of land surface temperature at field scale - (Peer Reviewed Journal)
Sara, K., Rajasekaran, E., Kustas, W.P., Alfieri, J.G., Prueger, J.H., Alsina, M., Hipps, L.E., Mckee, L.G., Mcelrone, A.J., Castro, S., Bambach, N. 2024. Combining spatial downscaling technique and diurnal temperature cycle model to acquire diurnal patterns of land surface temperature at field scale. Journal of Photogrammetry and Remote Sensing. 92:723-740. https://doi.org/10.1007/s41064-024-00291-1.

Evaluating the precise grapevine water stress detection using unmanned aerial vehicles and evapotranspiration-based metrics - (Peer Reviewed Journal)
Burchard-Levine, V., Nieto, H., Kustas, W.P., Guerra, J., Borra, I., Dorado, J., Mesias-Ruiz, G., McKee, L.G., Pena, J. 2024. Evaluating the precise grapevine water stress detection using unmanned aerial vehicles and evapotranspiration-based metrics. Irrigation Science. https://doi.org/10.1007/s00271-024-00931-9.

Monitoring field scale soil moisture with sUAS mounted L-band radiometer - (Abstract Only)

Within-field soil moisture variability and time-invariant spatial structures of agricultural fields in the US Midwest - (Peer Reviewed Journal)
Yang, Y., Peng, B., Guan, K., Pan, M., Franz, T., Cosh, M.H., Bernacchi, C.J. 2024. Within-field soil moisture variability and time-invariant spatial structures of agricultural fields in the US Midwest. Vadose Zone Journal. Article e20337. https://doi.org/10.1002/vzj2.20337.

Soil moisture profiles of ecosystem water use revealed with ECOSTRESS - (Peer Reviewed Journal)
Feldman, A., Koster, R., Cawse-Nicholson, K., Crow, W.T., Holmes, T., Poutler, B. 2024. Soil moisture profiles of ecosystem water use revealed with ECOSTRESS. Geophysical Research Letters. 51. https://doi.org/10.1029/2024GL108326.

Precision Soil Moisture Monitoring with Passive Microwave L-band UAS Mapping - (Peer Reviewed Journal)
Kim, K.Y., Zhu, Z., Zhang, R., Fang, B., Cosh, M.H., Russ, A.L., Dai, E., Elston, J., Stachura, M., Gasiewski, A., Lakshmi, V. 2024. Precision Soil Moisture Monitoring with Passive Microwave L-band UAS Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17:7684-7694. https://doi.org/10.1109/JSTARS.2024.3382045.

A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing water and energy fluxes from plant to global scales - (Peer Reviewed Journal)
Anderson, M.C., Kustas, W.P., Norman, J., Diak, G., Hain, C., Gao, F.N., Yang, Y., Knipper, K.R., Xue, J., Yang, Y., Crow, W.T., Holmes, T., Nieto, H., Guzinski, R., Otkin, J., Mecikalski, J., Cammalleri, C., Torres-Rua, A., Zhan, X., Fang, L., Colaizzi, P.D., Agam, N. 2024. A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing water and energy fluxes from plant to global scales. Agricultural and Forest Meteorology. 350. Article e109951. https://doi.org/10.1016/j.agrformet.2024.109951.

County-level evaluation of large-scale gridded datasets of irrigated area over China - (Peer Reviewed Journal)
Tian, X., Dong, J., Chen, X., Zhou, J., Gao, M., Wei, L., Kang, X., Zhao, D., Zhang, H., Crow, W.T. 2024. County-level evaluation of large-scale gridded datasets of irrigated area over China. Journal of Geophysical Research Atmospheres. Article e2024GL108326. https://doi.org/10.1029/2024GL108326.

Resolving the hydrologic signature of water spreader berms in the US Southwest - (Peer Reviewed Journal)
Crompton, O.V., Nichols, M.H., Lapides, D.A. 2024. Vegetation response to rangeland water manipulation structures in the US Southwest. Catena. 79:155-165. https://doi.org/10.2489/jswc.2024.00086.

Advancements in dielectric soil moisture sensor Calibration: A comprehensive review of methods and techniques - (Peer Reviewed Journal)
Mane, S., Das, N., Singh, G., Cosh, M.H., Dong, Y. 2024. Advancements in dielectric soil moisture sensor Calibration: A comprehensive review of methods and techniques. Computers and Electronics in Agriculture. 218. Article e 108686. https://doi.org/10.1016/j.compag.2024.108686.

Neglect of potential seasonal streamflow forecasting skill in the United States national water model - (Peer Reviewed Journal)
Crow, W.T., Koster, R., Reichle, R., Chen, F., Liu, Q. 2024. Neglect of potential seasonal streamflow forecasting skill in the United States national water model. Geophysical Research Letters. 51. https://doi.org/10.1029/2023GL105649.

Estimating hydrological regimes from observational soil moisture, evapotranspiration, and air temperature data - (Peer Reviewed Journal)
Koster, R., Feldman, A., Holmes, T., Anderson, M.C., Crow, W.T., Hain, C. 2024. Estimating hydrological regimes from observational soil moisture, evapotranspiration, and air temperature data. Journal of Hydrometeorology. 25(3):495-513. https://doi.org/10.1175/JHM-D-23-0140.1.

Developmental framework for a desktop hydrogeomorphic wetland functional assessment derived from field-based data - (Peer Reviewed Journal)
Backhaus, P., Wardrop, D., Mccarty, G.W., Brooks, R. 2024. Developmental framework for a desktop hydrogeomorphic wetland functional assessment derived from field-based data. Methods in Ecology and Evolution. 196: Article e217. https://doi.org/10.1007/s10661-024-12373-z.

Photosynthetically active radiation separation model for high-latitude regions in agrivoltaic systems modeling - (Peer Reviewed Journal)
Ma Lu, S., Yang, D., Anderson, M.C., Zainali, S., Stridh, B., Avelin, A., Campana, P. 2024. Photosynthetically active radiation separation model for high-latitude regions in agrivoltaic systems modeling. Solar Energy. 16(1). Article e0181311. https://doi.org/10.1063/5.0181311.

Good practices for land product validation - (Abstract Only)

Soil Moisture Volatility Index (SMVI) global flash droughts - (Database / Dataset)

Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center - (Peer Reviewed Journal)
Dulaney, W.P., Anderson, M.C., Gao, F.N., Stern, A.J., Meyers, G.E., Daughtry, C.S., White, W.A., Akumaga, U., Showalter, J.J., Moglen, G.E. 2024. Development of a gridded yield data archive for farm management and research at the USDA Beltsville Agricultural Research Center. Agrosystems, Geosciences & Environment. 7(1). Article e20474. https://doi.org/10.1002/agg2.20474.

First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry - (Peer Reviewed Journal)
Peng, Z., Zhao, T., Shi, J.C., Hu, L., Rodriguez-Fernandez, N., Wigneron, J., Jackson, T.J., Walker, J., Cosh, M.H., Yang, K., Lu, H., Bai, Y., Yao, P., Zheng, J., Wei, Z. 2023. First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry. IEEE Transactions on Geoscience and Remote Sensing. 302. Article e113970. https://doi.org/10.1016/j.rse.2023.113970.

A review of machine learning applications in life cycle assessment studies - (Peer Reviewed Journal)
Romeiko, X., Zhang, X., Pang, Y., Gao, F.N., Xu, M., Babbit, C. 2023. A review of machine learning applications in life cycle assessment studies . Science of the Total Environment. 912. https://doi.org/10.1016/j.scitotenv.2023.168969.

Drainage ditch network extraction from lidar data using deep convolutional neural networks in a low relief landscape - (Peer Reviewed Journal)
Du, L., Mccarty, G.W., Li, X., Zhang, X., Rabenhorst, M.C., Lang, M.W., Zou, Z., Zhang, X., Hinson, A.L. 2023. Drainage ditch network extraction from lidar data using deep convolutional neural networks in a low relief landscape . Journal of Hydrology. 628. https://doi.org/10.1016/j.jhydrol.2023.130591.

Inter-basin water transfer compensates for unsustainable water use in the North China Plain - (Peer Reviewed Journal)
Dong, J., Li, Y., Wei, L., Tangdamrongsub, N., Crow, W.T., Chen, X. 2023. Inter-basin water transfer compensates for unsustainable water use in the North China Plain. Nature Climate Change. Article e2023WR035129. https://doi.org/10.1029/2023WR035129.

Forming the future of agrohydrology research - (Peer Reviewed Journal)
Smidt, S., Haaker, E., Bai, X., Cherkauer, K., Choat, B., Crompton, O.V., Deines, J., Groh, J., Guzman, S., Hartman, K., Kenall, A., Khan, S., Kustas, W.P., McGill, B.M., Nocco, M.A., Pensky, J., Rapp, J., Schreiner-McGraw, A.P., Simmons, T., Sprenger, M., Wan, L., Weldegebriel, L., Zipper, S., Zoccatelli, D. 2023. Forming the future of agrohydrology research. Earth's Future. https://doi.org/10.1029/2022EF003410.

Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model - (Peer Reviewed Journal)
Meza, K., Torres, A., Hipps, L.E., Kustas, W.P., Gao, R., Christianse, L., Kopp, K., Nieto, H., Burchard-Levine, V., Martin, M., Coopmans, C., Gowing, I. 2023. Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model. Irrigation Science. https://doi.org/10.1007/s00271-023-00899-y.

Multivariate calibration of an ecohydrological model using spatial patterns of remote sensing-derived land surface temperature - (Peer Reviewed Journal)
Duethmann, D., Anderson, M.C., Maneta, M., Tetzlaff, D. 2023. Multivariate calibration of an ecohydrological model using spatial patterns of remote sensing-derived land surface temperature. Hydrological Processes. 628. Article e130433. https://doi.org/10.1016/j.jhydrol.2023.130433.

Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modelling approach - (Peer Reviewed Journal)
Hyunglok, K., Crow, W.T. 2023. Interpreting effective hydrologic depth estimates derived from soil moisture remote sensing: A Bayesian non-linear modelling approach. Remote Sensing of Environment. 908. https://doi.org/10.1016/j.scitotenv.2023.168067.

Validating NISAR’s cropland mapping approach and the USDA/NASS Cropland Data Layer against ground truth data in a fragmented urban agricultural region - (Peer Reviewed Journal)
Kraatz, S.G., Lamb, B.T., Hively, W.D., Jennewein, J.S., Gao, F.N., Cosh, M.H., Siqueira, P. 2023. Validating NISAR’s cropland mapping approach and the USDA/NASS Cropland Data Layer against ground truth data in a fragmented urban agricultural region. Sensors. 23(20). https://doi.org/10.3390/s23208595.

Systematic modelling errors undermine the application of land data assimilation systems for hydrological and weather forecasting - (Peer Reviewed Journal)
Crow, W.T., Kim, H., Kumar, S. 2023. Systematic modelling errors undermine the application of land data assimilation systems for hydrological and weather forecasting. Journal of Hydrometeorology. 25, 3-26. https://doi.org/10.1175/JHM-D-23-0069.1.

Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications - (Peer Reviewed Journal)
Volk, J., Huntington, J., Melton, F., Allen, R.G., Anderson, M.C., Fisher, J., Kilic, A., Ruhoff, A., Senay, G.B., Minor, B., Morton, C., Ott, T., Carrara, W., Doherty, C., Dunkerly, C., Friedrichs, M., Guzman, A., Hain, C., Halverson, G., Johnson, L., Kang, Y., Knipper, K.R., Ortega-Salazar, S., Pearson, C., Parrish, G.E., Purdy, A.J., Revelle, P.M., Wang, T., Yang, Y., Laipelt, L., Comini De Andrade, B. 2024. Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications. Nature Water. 2:193-205. https://doi.org/10.1038/s44221-023-00181-7.

Large-scale urban building function mapping by integrating multi-source web-based geospatial data - (Peer Reviewed Journal)
Chen, W., Zhou, Y., Stokes, E.C., Zhang, X. 2023. Large-scale urban building function mapping by integrating multi-source web-based geospatial data. Geo-spatial Information Science. 1-15. https://doi.org/10.1080/10095020.2023.2264342.

DAWN: Dashboard for Agricultural Water use and Nutrient management - A predictive decision support system to improve crop production in a changing climate - (Peer Reviewed Journal)
Liang, X., Gower, D., Kennedy, J.A., Kenney, M., Maddox, M.C., Balboa, G., Becker, T., Cai, X., Elmore, R., Gao, X., Gerst, M., He, Y., Liang, K., Lotton, S., Malayil, L., Matthews, M.L., Meadow, A.M., Meale, C., Newman, G., Sapkota, A.R., Shin, S., Straube, J., Sun, C., Wu, Y., Yang, Y., Zhang, X. 2024. DAWN: Dashboard for Agricultural Water use and Nutrient management - A predictive decision support system to improve crop production in a changing climate. Bulletin of the American Meteorological Society. 105:E432–E441. https://doi.org/10.1175/BAMS-D-22-0221.1.

DayCent-CUTE: a global sensitivity, auto-calibration, and uncertainty analysis tool for DayCent - (Peer Reviewed Journal)
Jeong, J., Wang, X., Park, S., Zhang, X., Gao, J., Silvero, N. 2023. DayCent-CUTE: a global sensitivity, auto-calibration, and uncertainty analysis tool for DayCent . Environmental Modelling & Software. 169. https://doi.org/10.1016/j.envsoft.2023.105832.

The 50-year Landsat collection 2 archive - (Peer Reviewed Journal)
Crawford, C., Roy, D., Arab, S., Barnes, C., Vermote, E., Hulley, G., Gerace, A., Choate, M., Engebretson, C., Schmidt, G., Anderson, C., Anderson, M.C., Bouchard, M., Skakun, S., Yan, L., Zhang, H., Zhu, Z., Zahn, S. 2023. The 50-year Landsat collection 2 archive. Science of Remote Sensing. 8. Article e100103. https://doi.org/10.1016/j.srs.2023.100103.

Nitrous oxide emissions from multiple agroecosystems in the U.S. Corn Belt simulated using the modified SWAT-C model - (Peer Reviewed Journal)
Liang, K., Qi, J., Zhang, X., Emmett, B.D., Johnson, J.M., Malone, R.W., Moglen, G.E., Venterea, R.T. 2023. Nitrous oxide emissions from multiple agroecosystems in the U.S. Corn Belt simulated using the modified SWAT-C model . Environmental Pollution. 337(2023). Article e122537. https://doi.org/10.1016/j.envpol.2023.122537.

A basic and applied remote sensing research project (GRAPEX) for actual evapotranspiration monitoring to improve vineyard water management - (Peer Reviewed Journal)
Kustas, W.P., Knipper, K.R., Alsina, M., Bambach, N., Mcelrone, A.J., Prueger, J.H., Alfieri, J.G., Bhattarai, N., Anderson, M.C., Torres, A., Nieto, H., Gao, F.N., Hipps, L., Mckee, L.G., Castro, S.J., Agam, N., Crow, W.T., Burchard-Levine, V., Jin, Y., Dokoozlian, N. 2024. A basic and applied remote sensing research project (GRAPEX) for actual evapotranspiration monitoring to improve vineyard water management. Acta horticulturae. 1409:151-158. https://doi.org/10.17660/ActaHortic.2024.1409.21.

True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis - (Peer Reviewed Journal)
Kim, H., Crow, W.T., Li, X., Wagner, W., Hahn, S., Lakshmi, V. 2023. True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis. Remote Sensing of Environment. 298: Article e113776. https://doi.org/10.1016/j.rse.2023.113776.

The Two-Source Energy Balance (TSEB) model formulation using thermal-infrared remote sensing for evapotranspiration estimation: Applications from field to global scales - (Abstract Only)

Watershed scale modeling of dissolved organic carbon export from variable source areas - (Peer Reviewed Journal)
Mukundan, R., Gelda, R., Moknation, M., Zhang, X., Steenhuis, T. 2023. Watershed scale modeling of dissolved organic carbon export from variable source areas. Journal of Hydrology. 625(S1). Article e130052. https://doi.org/10.1016/j.jhydrol.2023.130052.

An introduction to Bayesian Machine Learning with an application in global-scale active and passive satellite-based soil moisture error pattern analysis - (Peer Reviewed Journal)
Kim, H., Wagner, W., Crow, W.T., Li, X., Lakshmi, V. 2023. An introduction to Bayesian Machine Learning with an application in global-scale active and passive satellite-based soil moisture error pattern analysis. Remote Sensing of Environment. 296. https://doi.org/10.1016/j.rse.2023.113718.

The effects of forest composition and management on evapotranspiration in the New Jersey Pinelands - (Peer Reviewed Journal)
Isaacson, B., Yang, Y., Clark, K., Anderson, M.C., Grabosky, J. 2023. The effects of forest composition and management on evapotranspiration in the New Jersey Pinelands. Agricultural and Forest Meteorology. 339. Article e109588. https://doi.org/10.1016/j.agrformet.2023.109588.

Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities - (Peer Reviewed Journal)
Brown, M., Mitchell, C., Halabisky, M., Gustafson, B., Gomes, H., Goes, J., Zhang, X., Campbell, A., Poulter, B. 2023. Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities . Environmental Research Letters. 18. https://doi.org/10.1088/1748-9326/ace208.

IMERG precipitation improves the SMAP level-4 soil moisture product - (Peer Reviewed Journal)
Reichle, R., Liu, Q., Ardizzone, J., Crow, W.T., De Lannoy, G., Kimball, J., Koster, R. 2023. IMERG precipitation improves the SMAP level-4 soil moisture product. Journal of Hydrometeorology. 24, 1699-1723. https://doi.org/10.1175/JHM-D-23-0063.1.

Estimating drought-induced crop yield losses in near-real time - (Peer Reviewed Journal)
Meitner, J., Balek, J., Bláhová, M., Semerádová, D., Hlavinka, P., Lukas, V., Jurecka, F., Žalud, Z., Klem, K., Anderson, M.C., Dorigo, W.A., Fischer, M., Trnka, M. 2023. Estimating drought-induced crop yield losses in near-real time. Agronomy. 13(7):1669. https://doi.org/10.3390/agronomy13071669.

Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow - (Peer Reviewed Journal)
Koster, R.D., Liu, Q., Crow, W.T., Reichle, R.H. 2023. Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow. Nature Communications. 14:35-45. https://doi.org/10.1038/s41467-023-39318-3.

Attributing the drivers of runoff decline in the Thaya River basin - (Peer Reviewed Journal)
Fischer, M., Pavik, P., Vizina, A., Bernsteinova, J., Parajka, J., Anderson, M.C., Rehor, J., Ivancicova, J., Stepanek, P., Balek, J., Hain, C., Tacheci, P., Hanel, M., Lukes, P., Blahova, M., Zahradnicek, P., Maca, P., Rapantova, N., Feng, S., Janal, P., Zeman, E., Zalud, Z., Trnka, M. 2023. Attributing the drivers of runoff decline in the Thaya River basin. Journal of Hydrology. 48. Article e101436. https://doi.org/10.1016/j.ejrh.2023.101436.

Multivariate calibration of the SWAT model using remotely sensed datasets - (Peer Reviewed Journal)
Dangol, S., Zhang, X., Liang, X., Anderson, M.C., Crow, W.T., Lee, S., Moglen, G.E., McCarty, G.W. 2023. Multivariate calibration of the SWAT model using remotely sensed datasets. Remote Sensing. 15(9):2417. https://doi.org/10.3390/rs15092417.

Inversion and Validation of FY-4A Official Land Surface Temperature Product - (Peer Reviewed Journal)
Dong, L., Wang, F., Cosh, M.H., Min, M. 2023. Inversion and Validation of FY-4A Official Land Surface Temperature Product. Journal of Photogrammetry and Remote Sensing. 15(9):2437. https://doi.org/10.3390/rs15092437.

Watershed carbon yield derived from gauge observations and river network connectivity in the United States - (Peer Reviewed Journal)
Qui, H., Zhang, X., Yang, A., Wickland, K.P., Stets, E.G., Chen, M. 2023. Watershed carbon yield derived from gauge observations and river network connectivity in the United States. Scientific Data. https://doi.org/10.1038/s41597-023-02162-7.

SWAT-3PG: Improving forest growth simulation with a process-based forest model in SWAT - (Peer Reviewed Journal)
Karki, R., Qi, J., Gonzales-Benecke, C., Zhang, X., Martin, T., Arnold, J.G. 2023. SWAT-3PG: Improving forest growth simulation with a process-based forest model in SWAT. Journal of Environmental Modeling and Software. 164. Article 105705. https://doi.org/10.1016/j.envsoft.2023.105705.

Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration - (Peer Reviewed Journal)
Zhou, J., Yang, K., Crow, W.T., Ding, J., Zhao, L., Fenng, H., Zou, M., Lu, H., Tang, R. 2023. Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration. Remote Sensing of Environment. 291. Article 113557. https://doi.org/10.1016/j.rse.2023.113557.

Form field observations to temporally dynamic roughness retrievals in the corn belt - (Peer Reviewed Journal)
Walker, V., Yildrim, E., Wallace, V., Eichinger, W., Cosh, M.H., Hornbuckle, B. 2023. Form field observations to temporally dynamic roughness retrievals in the corn belt. Remote Sensing of Environment. 287. Article e113458. https://doi.org/10.1016/j.rse.2023.113458.

Surface Albedo VALidation (SALVAL) platform: towards CEOS LPV validation stage 4. Application to three global al-bedo climate data records - (Peer Reviewed Journal)
Sanchez-Zapero, J., Martinez-Sanchez, E., Camacho, F., Wang, Z., Carrer, D., Schaaf, C., Garcia-Haro, F., Nickeson, J., Cosh, M.H. 2023. Surface Albedo VALidation (SALVAL) platform: towards CEOS LPV validation stage 4. Application to three global albedo climate data records. Remote Sensing. 15:1081. https://doi.org/10.3390/rs15041081.

ET partitioning assessment using the TSEB model and sUAS information across California Central Valley vineyards - (Peer Reviewed Journal)
Gao, R., Torres-Rua, A., Nieto, H., Zahn, E., Hipps, L., Kustas, W.P., Alsina, M., Ortiz, N., Castro, S., Prueger, J., Alfieri, J.G., McKee, L.G., White, W.A., Gao, F.N., McElrone, A.J., Anderson, M.C., Knipper, K.R., Coopmans, C., Gowing, I., Agam, N., Sanchez, L., Dokoozlian, N. 2023. ET partitioning assessment using the TSEB model and sUAS information across California Central Valley vineyards. Remote Sensing. 15(3). Article 756. https://doi.org/10.3390/rs15030756.

Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment - (Peer Reviewed Journal)
Gao, F.N., Jennewein, J.S., Hively, W.D., Soroka, A., Thieme, A., Bradley, D., Keppler, J., Mirsky, S.B., Akumaga, U. 2022. Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment. Science of Remote Sensing. 7. Article 100073. https://doi.org/10.1016/j.srs.2022.100073.

Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland - (Peer Reviewed Journal)
Feng, S., Qui, J., Crow, W.T., Mo, X., Wang, S., Gao, L. 2022. Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland. Journal of Photogrammetry and Remote Sensing. 617. Article 129015. https://doi.org/10.1016/j.jhydrol.2022.129015.

Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay - (Peer Reviewed Journal)
Lee, J., Abbas, A., McCarty, G.W., Zhang, X., Lee, S., Cho, K. 2022. Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay. Journal of Hydrology. 617. Article 128916. https://doi.org/10.1016/j.jhydrol.2022.128916.

Integrating vegetation phenology and SWAT model for improved modeling of ecohydrological processes - (Peer Reviewed Journal)
Chen, S., Fu, Y., Wu, Z., Hao, F., Hao, Z., Guo, Y., Geng, X., Li, X., Zhang, X., Tang, J., Singh, V.P., Zhang, X. 2022. Integrating vegetation phenology and SWAT model for improved modeling of ecohydrological processes. Remote Sensing. 616:128817. https://doi.org/10.1016/j.jhydrol.2022.128817.

Working toward a National Coordinated Soil Moisture Monitoring Network: vision, progress, and future directions - (Peer Reviewed Journal)
Baker, B., Cosh, M.H., Brusberg, M., Bolten, J., Caldwell, T., Connolly, S., Goble, P., Meyers, T., Ochsner, T., Quiring, S., Svoboda, M., Skumanich, M., Woloszyn, M. 2022. Working toward a National Coordinated Soil Moisture Monitoring Network: vision, progress, and future directions. Bulletin of the American Meteorological Society. 103(12):E2719–E2732. https://doi.org/10.1175/BAMS-D-21-0178.1.

A global implementation of single- and dual-source surface energy balance models for estimating actual evapotranspiration at 30-m resolution using Google Earth Engine - (Peer Reviewed Journal)
Jafaar, H., Mourad, R., Kustas, W.P., Anderson, M.C. 2022. A global implementation of single- and dual-source surface energy balance models for estimating actual evapotranspiration at 30-m resolution using Google Earth Engine. Water Resources Research. 58. Article e2022WR032800. https://doi.org/10.1029/2022WR032800.

In situ soil moisture sensors in undisturbed soils - (Peer Reviewed Journal)
Caldwell, T., Cosh, M.H., Evett, S.R., Edwards, N., Hofman, H., Illston, B., Meyers, T., Skumanich, M., Sutcliffe, K. 2022. In situ soil moisture sensors in undisturbed soils. Journal of Visualized Experiments. https://doi.org/10.3791/64498.

An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space - (Peer Reviewed Journal)
Kumar, S., Kolassa, J., Reichle, R., De Lannoy, G., De Rosnay, P., Macbean, N., Girotto, M., Fox, A., Quaife, T., Draper, C., Forman, B., Balsamo, G., Steele-Dunne, S., Albergel, C., Bonan, B., Calvet, J.C., Dong, J., Liddy, H., Ruston, B., Crow, W.T. 2022. An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space. Journal of Advances in Modeling Earth Systems. 14(11). https://doi.org/10.1029/2022MS003259.

Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations - (Peer Reviewed Journal)
Crow, W.T., Chen, F., Colliander, A. 2022. Benchmarking downscaled satellite-based soil moisture products using sparse, point-scale ground observations. Remote Sensing of Environment. 283. Article 113300. https://doi.org/10.1016/j.rse.2022.113300.

From vine to vineyard: The GRAPEX multi-scale remote sensing experiment for improving vineyard irrigation management - (Review Article)
Kustas, W.P., Mcelrone, A.J., Agam, N., Knipper, K.R. 2022. From vine to vineyard: The GRAPEX multi-scale remote sensing experiment for improving vineyard irrigation management . Irrigation Science. 40:435–444. https://doi.org/10.1007/s00271-022-00816-9.

High-resolution soil moisture data reveal complex multi-scale spatial variability across the United States - (Peer Reviewed Journal)
Vergopolan, N., Sheffield, J., Chaney, N., Pan, M., Beck, H., Ferguson, C., Torres-Rojas, L., Eigenbrod, F., Crow, W.T., Wood, E. 2022. High-resolution soil moisture data reveal complex multi-scale spatial variability across the United States. Geophysical Research Letters. 49(15):e2022GL098586. https://doi.org/10.1029/2022GL098586.

Fifty years of Landsat science and impacts - (Peer Reviewed Journal)
Wulder, M., Roy, D., Radeloff, V., Loveland, T., Anderson, M.C., Johnson, D., Healey, S., Zhu, Z., Scambos, T., Pahlevan, N., Hansen, M., Gorelick, N., Crawford, C., Masek, J., Hermosilla, T., White, J., Belward, A., Schaaf, C., Woodcock, C., Huntington, J., Lymburner, L., Hostert, P., Gao, F.N., Lyapustin, A., Pekel, J., Strobl, P., Cook, B. 2022. Fifty years of Landsat science and impacts. Remote Sensing of Environment. 280. Article 113195. https://doi.org/10.1016/j.rse.2022.113195.

Assessing the spatiotemporal variability of SMAP soil moisture accuracy in a deciduous forest region - (Peer Reviewed Journal)
Abdelkader, M., Temimi, M., Colliander, A., Cosh, M.H., Kelly, V., Lakhankar, T., Fares, A. 2022. Assessing the spatiotemporal variability of SMAP soil moisture accuracy in a deciduous forest region. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14(14). https://doi.org/10.3390/rs14143329.

NRCS curve number method: A comparison of methods for estimating the curve number from rainfall-runoff data - (Peer Reviewed Journal)
Moglen, G.E., Sadeq, H., Hughes, L., Meadows, M., Miller, J.J., Ramirez-Avila, J., Tollner, E. 2022. NRCS curve number method: A comparison of methods for estimating the curve number from rainfall-runoff data. Journal Hydrologic Engineering. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002210.

Seeing our planet anew: fifty years of Landsat - (Peer Reviewed Journal)
Loveland, T., Anderson, M.C., Huntington, J., Irons, J., Johnson, D., Rocchio, L., Woodcock, C., Wulder, M. 2022. Seeing our planet anew: fifty years of Landsat. Photogrammetric Engineering and Remote Sensing. 88:7. https://doi.org/10.14358/PERS.88.7.429.

A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multichannel collaborative algorithm - (Peer Reviewed Journal)
Hu, L., Zhao, T., Ju, W., Peng, Z., Shi, J., Wigneron, J., Rodrigues-Fernandez, N., Cosh, M.H., Yang, K., Lu, H., Yao, P. 2023. A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multichannel collaborative algorithm. Remote Sensing of Environment. 292:113595. https://doi.org/10.1016/j.rse.2023.113595.

LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning - (Peer Reviewed Journal)
Gao, R., Torres, A., Aboutalebi, M., White, W.A., Anderson, M.C., Kustas, W.P., Agam, N., Alsina, N., Alfieri, J.G., Hipps, L., 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. LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning. Irrigation Science. 40:731-759. https://doi.org/10.1007/s00271-022-00776-0.