TH1.R15.3
EVALUATING TRANSFORMER AND LSTM FRAMEWORKS FOR STREAMFLOW PREDICTION IN UNGAUGED BASINS
Taye Akinrele, Shahram Rahimi, Sudip Mittal, University of Alabama, United States
Session:
TH1.R15: Large-scale GeoAI for Earth Observation Applications Oral
Track:
AI and Big Data
Location:
TBD
Presentation Time:
Thu, 13 Aug, 09:00 - 09:15
Session Co-Chairs:
Ronny Hänsch, DLR and Christopher Ummerle, University of the Bundeswehr Munich
Presentation
Discussion
Resources
No resources available.
Session TH1.R15
TH1.R15.1: A Geospatial Deep Learning Deployment Framework at Continental Scale: Naturalness Mapping from Sentinel-2
Burak Ekim, Michael Schmitt, University of the Bundeswehr Munich, Germany
TH1.R15.2: Robust Cross-View Geo-Localization via Geometry-Aware BEV Reconstruction and Video-Guided Distillation
Chen Li, Northwestern Polytechnical University, China; Fei Zhou, The Chinese University of Hong Kong, China; Lei Zhang, Wei Wei, Northwestern Polytechnical University, China; Chen Ding, Xi'an University of Posts and Telecommunications, China; Yi Zhang, Liang Li, China Mobile Research Institute, China; Xiangyu Yue, The Chinese University of Hong Kong, China
TH1.R15.3: EVALUATING TRANSFORMER AND LSTM FRAMEWORKS FOR STREAMFLOW PREDICTION IN UNGAUGED BASINS
Taye Akinrele, Shahram Rahimi, Sudip Mittal, University of Alabama, United States
Contacts