Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave remote sensing
Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave remote sensing
Matthew P Dannenberg, University of Iowa, Department of Geographical and Sustainability Sciences, Iowa City, United States, Mallory Barnes, Indiana University Bloomington, O'Neill School of Public and Environmental Affairs, Bloomington, IN, United States, William Kolby Smith, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, Miriam Johnston, University of Iowa, Department of Geographical and Sustainability Sciences, Iowa City, IA, United States, Susan Meerdink, University of Iowa, Geographical and Sustainability Sciences, Iowa City, IA, United States, Xian Wang, University of Arizona, School of Natural Resources and the Environment, Tucson, United States, Russell Scott, USDA-Agricultural Research Service, Tucson, United States, Joel Biederman, Southwest Watershed Research Center, USDA-ARS, Tucson, AZ, United States and Gerald N Flerchinger, USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, ID, United States