Global SAR-Based Inundation and Crop Yield Forecasting System for Decision Support
Global SAR-Based Inundation and Crop Yield Forecasting System for Decision Support
Chandana Gangodagamage1, Raphael Muamba Tshimanga2, Sam Lamont3, Thomas E Adams III4, Krish Matta5, Shayana Venukanthan6, Isun Randila Bandara Kandegedara7, Lasidu Dilshan8, Charon M Birkett9, Ravija Dulnath8, Michael T Durand10 and Pabasara Palihena11, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)University of Kinshasa, Congo Basin Water Resources Research Center (CRREBaC) & Dept. Natural Resources Management, Kinshasa, Congo, (3)One Concern, Inc., Menlo Park, CA, United States, (4)Virginia Tech, Civil and Environmental Engineering, Blacksburg, VA, United States, (5)Carnegie Mellon University, School of Computer Science, Pittsburgh, United States, (6)Stanford University, Computer Science Department, Stanford, United States, (7)University of Moratuwa, Electrical and Computer Engineering, Moratuwa, Sri Lanka, (8)University of Moratuwa, Electronics and Telecommunication, Moratuwa, Sri Lanka, (9)NASA Goddard Space Flight Center, Greenbelt, United States, (10)Byrd Polar and Climate Research Center, Columbus, United States, (11)Technische Universität Chemnitz, Web Engineering, Chemnitz, Germany