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The Science of the Total Environment|December 21, 2005
Simulating effects of fire disturbance and climate change on boreal forest productivity and evapotranspirationSinkyu Kang, John S Kimball, Steven W RunningGlobal Change Biology|June 11, 2013
Satellite microwave detection of boreal forest recovery from the extreme 2004 wildfires in Alaska and CanadaMatthew O Jones, John S Kimball, Lucas A JonesTree Physiology|August 1, 1997
Simulating forest productivity and surface-atmosphere carbon exchange in the BOREAS study regionJohn S. Kimball, Peter E. Thornton, Mike A. White, et al.Journal of Environmental Management|September 1, 2024
Multi-source machine learning and spaceborne remote sensing data accurately predict three-dimensional soil moisture in an in-service uranium disposal cellChristopher J Jarchow, Jinyang Du, John S Kimball, et al.International Journal of Biometeorology|September 6, 2013
Comparing land surface phenology derived from satellite and GPS network microwave remote sensingMatthew O Jones, John S Kimball, Eric E Small, et al.Plos One|January 23, 2016
Remote Sensing Derived Fire Frequency, Soil Moisture and Ecosystem Productivity Explain Regional Movements in Emu over AustraliaNima Madani, John S Kimball, Mona Nazeri, et al.Frontiers in Big Data|March 11, 2021
Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon ProductPatrick M Wurster, Marco Maneta, John S Kimball, et al.Frontiers in Big Data|January 7, 2022
DroughtCast: A Machine Learning Forecast of the United States Drought MonitorColin Brust, John S Kimball, Marco P Maneta, et al.Remote Sensing|December 4, 2018
Global Satellite Retrievals of the Near-Surface Atmospheric Vapor Pressure Deficit from AMSR-E and AMSR2Jinyang Du, John S Kimball, Rolf H Reichle, et al.The Science of the Total Environment|January 23, 2022
Evaluation of trophic state for inland waters through combining Forel-Ule Index and inherent optical propertiesYongxin Liu, Huan Wu, Shenglei Wang, et al.Pageof 4