WE1.R14.3
SAR-GUIDED GENERATIVE CLOUD REMOVAL WITH VEGETATION-CONSISTENCY LOSS FOR AGRICULTURAL MONITORING
Yash Mittal, Uttam Kumar, International Institute of Information Technology Bangalore, India
Session:
WE1.R14: Agriculture: High-Resolution Agricultural Analytics V Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Wed, 12 Aug, 09:00 - 09:15
Presentation
Discussion
Resources
No resources available.
Session WE1.R14
WE1.R14.1: SENTINEL-2 TIME SERIES SEMANTIC SEGMENTATION FOR PALM OIL MAPPING IN INDONESIA - COMPARISON OF DIFFERENT DEEP LEARNING SOLUTIONS AND DATA PREPARATION APPROACHES
Lorenzo Lastilla, Laura De Vendictis, Francesco Redaelli, Flaminia Spasiano, e-GEOS, Italy
WE1.R14.2: High-Resolution Mapping of Maize Water Stress Through Fusion of Radiative Transfer Modeling and Multispectral Remote Sensing
Kelechi Igwe, Gloria Ramos, John Abon, Douglas Goodin, Vaishali Sharda, Kansas State University, United States
WE1.R14.3: SAR-GUIDED GENERATIVE CLOUD REMOVAL WITH VEGETATION-CONSISTENCY LOSS FOR AGRICULTURAL MONITORING
Yash Mittal, Uttam Kumar, International Institute of Information Technology Bangalore, India
WE1.R14.4: PROVIDING NEAR REAL-TIME IMPACT ASSESSMENTS OF EXTREME WEATHER ON CROPLAND: THE NASS DISASTER ANALYSIS PROGRAM
Rick Mueller, zhe li, avery nagle, zhengwei yang, claire boryan, david johnson, patrick willis, usda, United States
WE1.R14.5: Integration of SMAP Soil Moisture with Agriculture Land Information System for Estimating Hydrological and Agricultural Growth Variables
Pang-Wei Liu, Jessica Erlingis, Rajat Bindlish, NASA, United States; Meijian Yang, Columbia University, United States; Shahryar Ahmad, James Geiger, Luke Monhollon, Sujay Kumar, Alex Ruane, NASA, United States; Zhengwei Yang, USDA, United States
Contacts