FR2.R8.2
PREDICTING AGRICULTURAL GDP ANOMALIES USING SATELLITE-DERIVED SOIL MOISTURE AND VEGETATION DYNAMICS WITH DEEP LEARNING
Angela Lei, University of Maryland, United States
Session:
FR2.R8: Remote Sensing for Data Management, Policy and GIS Oral
Track:
Data and Society
Location:
TBD
Presentation Time:
Fri, 14 Aug, 11:15 - 11:30
Presentation
Discussion
Resources
No resources available.
Session FR2.R8
FR2.R8.1: Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images
Anh-Kiet Duong, Petra Gomez-Krämer, Université La Rochelle, France; Hoàng-Ân Lê, Minh-Tan Pham, Université Bretagne Sud, France
FR2.R8.2: PREDICTING AGRICULTURAL GDP ANOMALIES USING SATELLITE-DERIVED SOIL MOISTURE AND VEGETATION DYNAMICS WITH DEEP LEARNING
Angela Lei, University of Maryland, United States
FR2.R8.3: DETECTING SMALL-SCALE VESSELS IN CROWDED HARBORS USING YOLOV11-OBB
Hanxi Li, Liping Di, George Mason University, United States; Zhe Guo, Olivier Ecker, International Food Policy Research Institute, United States; Chen Zhang, George Mason University, United States
FR2.R8.4: Dark Ships near the Faroe Islands and Their Marine Protected Areas
Kristian Aalling Sørensen, Hasse Bülow Pedersen, Henning Heiselberg, Technical University of Denmark, Denmark
Contacts