The Application of AMSR-E Soil Moisture for Improved Global Agricultural Assessment and Forecasting. - John D. Bolten; Wade T. Crow; Xiwu Zhan; Thomas J. Jackson; Curt Reynolds; B. Doom (IGARSS, 2006)

Integration of Satellite-Retrieved Soil Moisture Observations with a Global Two-Layer Soil Moisture Model. - John D. Bolten; Wade T. Crow; Xiwu Zhan; Thomas J. Jackson; Curt Reynolds (IGARSS (2), 2008)

Evaluation of a Soil Moisture Data Assimilation System over West Africa. - John D. Bolten; Wade T. Crow; Xiwu Zhan; Thomas J. Jackson; Curt Reynolds (IGARSS (2), 2009)

Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project. - Inbal Becker-Reshef; Christopher Justice; Mark Sullivan; Eric F. Vermote; Compton J. Tucker; Assaf Anyamba; Jennifer Small; Edwin W. Pak; Edward J. Masuoka; Jeff Schmaltz; Matthew C. Hansen; Kyle Pittman; et al. (Remote. Sens., 2010)

Evaluating the Utility of Remotely Sensed Soil Moisture Retrievals for Operational Agricultural Drought Monitoring. - John D. Bolten; Wade T. Crow; Xiwu Zhan; Thomas J. Jackson; Curt Reynolds (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2010)

Enhancing the USDA global crop assessment decision support system using SMAP L3 Soil Moisture data. - John D. Bolten; Iliana E. Mladenova; Wade T. Crow; Curt Reynolds (IGARSS, 2016)

Enhancing the USDA FAS Crop Forecasting System Using SMAP L3 Soil Moisture Observations. - Iliana E. Mladenova; John D. Bolten; Wade T. Crow; Curt Reynolds (IGARSS, 2018)

Evaluating the Operational Application of SMAP for Global Agricultural Drought Monitoring. - Iliana E. Mladenova; John D. Bolten; Wade T. Crow; Nazmus Sazib; Michael H. Cosh; Compton J. Tucker; Curt Reynolds (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model. - Iliana E. Mladenova; John D. Bolten; Wade T. Crow; Nazmus Sazib; Curt Reynolds (Frontiers Big Data, 2020)

USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses? - David M. Johnson 002; Arthur Rosales; Richard M. Mueller; Curt Reynolds; Ronald Frantz; Assaf Anyamba; Ed Pak; Compton Tucker (Remote. Sens., 2021)