International Geoscience and
Remote Sensing Symposium
Theme Tag Line
TH4.R8.5
Multiple Agricultural Cropland Products of South Asia using Earth Observation Data and Machine Learning on the Google Earth Engine Cloud in Support of Global Food and Water Security
Murali Krishna Gumma, International Crops Research Institute for the Semi-Arid Tropics, India; Prasad S Thenkabail, USGS, United States; Pranay Panjala, International Crops Research Institute for the Semi-Arid Tropics, India; Pardhasaradhi Teluguntla, USGS, United States
Session:
TH4.R8: Mapping Global Croplands for Food and Water Security in the Twenty-First Century using Big-Data Analytics, Machine Learning, and Cloud Computing Oral
Track:
Community-Contributed Sessions
Location:
Room H
Presentation Time:
Thu, 20 Jul, 16:33 - 16:45 Pacific Time (UTC -8)
Session Co-Chairs:
Prasad Thenkabail, United States Geological Survey (USGS) and Pardhasaradhi Teluguntla, Bay Area Environmental Research Institute (BAERI) @ United States Geological Survey (USGS)