TH4.R14: Global Food-and-Water Security-support Analysis Datasets at 10-30m resolution using Remote Sensing Embedded Data and AI models on the Cloud
Thursday, 13 August, 16:15 - 17:30
Location: Jefferson East
Session Type: Oral
Session Co-Chairs: Prasad Thenkabail, U. S. Geological Survey and Rick Mueller, U. S. Department of Agriculture
Track: Community Contributed Themes
Thu, 13 Aug, 16:15 - 16:30

TH4.R14.1: Long history paddy rice mapping across Northeast China with deep learning and annualresult enhancement method

Zihui Zhang, Lang Xia, Fen Zhao, the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences; Yue Gu, Rutgers University; Jing Yang, Yan Zha, Shangrong Wu, Peng Yang, the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
Thu, 13 Aug, 16:30 - 16:45

TH4.R14.2: Global Cropland Products at 10-30 m Resolution using Multi-sensor Satellite Data, Google Embedded Data and AI on the Cloud

Prasad Thenkabail, United States Geological Survey; Pardhasaradhi Teluguntla, Bay Area Environmental Research Institute; Adam Oliphant, United States Geological Survey; Trent Biggs, San Diego State University; Itiya Aneece, Daniel Foley, United States Geological Survey
Thu, 13 Aug, 16:45 - 17:00

TH4.R14.3: Causal Discovery in Irrigated Agricultural Systems: A Case Study of Mediterranean Citrus Orchards

Stelios P. Neophytides, Eleni Neofytou, Marinos Eliades, Diofantos G. Hadjimitsis, Michalis Mavrovouniotis, ERATOSTHENES Centre of Excellence
Thu, 13 Aug, 17:00 - 17:15

TH4.R14.4: HAWAII CROPLAND DATA LAYERS (HCDL) V2.0: A SATELLITE EMBEDDING APPROACH TO CROP MAPPING

Zhe Li, United States Department of Agriculture; Qi Chen, University of Hawaiʻi at Mānoa; Zhengwei Yang, Rick Mueller, Patrick Willis, United States Department of Agriculture; Haonan Chen, Colorado State University; Noa K. Lincoln, University of Hawaiʻi at Mānoa; Changyong Cao, National Oceanic and Atmospheric Administration