Presentation | H43J: Evapotranspiration (ET): Advances in In Situ ET Measurements and Remote Sensing-Based ET Estimation, Mapping, and Evaluation IV Poster
Poster
H43J-1644: Global Basin Water Balance Evapotranspiration Prediction Using Machine Learning
Author(s): Kul Khand, ASRC Federal Data Solutions, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center (First Author, Presenting Author) Jordan Dornbierer, KBR Inc., Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center Gabriel Senay, U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Fort Collins Science Center