THP2.PG.2
NATIONAL-SCALE WITHIN-SEASON CROP IDENTIFICATION FROM SENTINEL-2 IMAGERY
Haijun Li, Xiao-Peng Song, Bernard Adusei, University of Maryland, College Park, United States; Peter Potapov, World Resources Institute, United States; Matthew Hansen, University of Maryland, College Park, United States; Feng Gao, USDA-ARS Hydrology and Remote Sensing Laboratory, United States
Session:
THP2.PG: Global Food-and-Water Security-support Analysis Datasets at 10-30m resolution using Remote Sensing Embedded Data and AI models on the Cloud Poster
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Thu, 13 Aug, 15:00 - 16:15
Presentation
Discussion
Resources
No resources available.
Session THP2.PG
THP2.PG.2: NATIONAL-SCALE WITHIN-SEASON CROP IDENTIFICATION FROM SENTINEL-2 IMAGERY
Haijun Li, Xiao-Peng Song, Bernard Adusei, University of Maryland, College Park, United States; Peter Potapov, World Resources Institute, United States; Matthew Hansen, University of Maryland, College Park, United States; Feng Gao, USDA-ARS Hydrology and Remote Sensing Laboratory, United States
THP2.PG.3: A DUAL-STREAM FRAMEWORK FOR AGRICULTURAL ANALYSIS USING SENTINEL-2 AND MODIS DATA
Amit Kumar Singh, Sapienza University of Rome, Italy, Italy
THP2.PG.4: QUANTIFYING THE CONTRIBUTION OF WELL-FACILITATED FARMLAND CONSTRUCTION TO CROP PRODUCTIVITY AND ITS DRIVING FACTORS USING REMOTE SENSING AND MACHINE LEARNING MODELS
Wenjiao Shi, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Ziwei Xu, Beijing Normal University, China
THP2.PG.6: VISUAL TEMPORAL REASONING FOR CROP IDENTIFICATION IN REMOTELY SENSED DATA
Ioan Cristian Leancu, Anglia Ruskin University, United Kingdom; Corneliu-Nicolae Florea, University Politehnica Bucharest, Romania; Mihai Ivanovici, AI4AGRI Center, Transilvania University, Romania
THP2.PG.10: Dual-Branch Encoder Network with Temporal Difference for Rice Mapping Using SAR Time Series
Juan Bai, WuHan University, China; Lingli Zhao, Wuhan University, China; Yonglei Chang, East China University of Technology, China; Lei Shi, Jie Yang, WuHan University, China
THP2.PG.11: Continental Mapping of Mesic Ecosystem Using Machine Learning: Effects of Training Dataset Size and Spatial Autocorrelation
JUAN CAMILO ROJAS LUCERO, Boise State University, United States
Contacts