TH4.R8.1

Mapping global croplands for food and water security in the twenty-first century using big-data analytics, machine learning and cloud computing

Prasad Thenkabail, United States Geological Survey (USGS), United States; Pardhasaradhi Teluguntla, Bay Area Environmental Research Institute (BAERI) @ United States Geological Survey (USGS), United States; Adam Oliphant, United States Geological Survey (USGS), United States; Itiya Aneece, Daniel Foley, Bay Area Environmental Research Institute (BAERI) @ United States Geological Survey (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, 15:45 - 15:57 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)
Session Manager:
Kelsey Doerksen
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Session TH4.R8
TH4.R8.1: Mapping global croplands for food and water security in the twenty-first century using big-data analytics, machine learning and cloud computing
Prasad Thenkabail, United States Geological Survey (USGS), United States; Pardhasaradhi Teluguntla, Bay Area Environmental Research Institute (BAERI) @ United States Geological Survey (USGS), United States; Adam Oliphant, United States Geological Survey (USGS), United States; Itiya Aneece, Daniel Foley, Bay Area Environmental Research Institute (BAERI) @ United States Geological Survey (USGS), United States
TH4.R8.2: DYNAMIC CROP MAPPING AT GLOBAL SCALE
Jeroen Degerickx, Kristof Van Tricht, Sven Gilliams, Vlaamse Instelling Technologisch Onderzoek (VITO), Belgium; Belen Franch, Universitat de Valencia, Spain; Joost Brombacher, Henk Pelgrum, eLeaf Competence Center, Netherlands; Inbal Becker-Reshef, University of Maryland, United States; Zoltan Szantoi, European Space Agency, Italy
TH4.R8.3: LANDSAT-DERIVED RAINFED AND IRRIGATED AREA PRODUCT @ 30M (LRIP30) FOR CONTERMINOUS UNITED STATES (CONUS)
Pardhasaradhi Teluguntla, Bay Area Environmental Institute @USGS, United States; Prasad S Thenkabail, Adam Oliphant, Itiya Aneece, Daniel J Foley, USGS, United States
TH4.R8.4: RAPID RESPONSE CROP PLANTING DETECTION OVER UKRAINE USING SYNTHETIC APERTURE RADAR
Mehdi Hosseini, Inbal Becker-Reshef, Saeed Khabbazan, Josef Wagner, Shabarinath Sreedharan Nair, yuval Sadeh, Sheila Baber, Sergii Skakun, University of Maryland, United States; Erik Lindquist, Food and Agriculture Organization of the United Nations, Italy; Gary Eilerts, University of Maryland, United States
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
Resources
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