TH1.R15.3
EVALUATING TRANSFORMER AND LSTM FRAMEWORKS FOR STREAMFLOW PREDICTION IN UNGAUGED BASINS
Taye Akinrele, Noorbakhsh Amiri Golilarz, University of Alabama, United States; James Halgren, Alabama Water Institute, United States; Sudip Mittal, Shahram Rahimi, University of Alabama, United States
Session:
TH1.R15: Large-scale GeoAI for Earth Observation Applications Oral
Track:
AI and Big Data
Location:
Jefferson West
Presentation Time:
Thursday, 13 August, 09:00 - 09:15
Session Chair:
Ronny Hänsch, DLR
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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: FLOOD MAPPING FROM RGB IMAGERY USING A VISION FOUNDATION MODEL
Vladyslav Polushko, Fraunhofer Institute for Industrial Mathematics, Germany; Tilman Bucher, German Aerospace Center, Germany; Ronald Rösch, Fraunhofer Institute for Industrial Mathematics, Germany; Thomas März, Darmstadt University of Applied Sciences, Germany; Markus Rauhut, Fraunhofer Institute for Industrial Mathematics, Germany; Andreas Weinmann, Technical University of Applied Sciences Würzburg-Schweinfurt, Germany
TH1.R15.3: EVALUATING TRANSFORMER AND LSTM FRAMEWORKS FOR STREAMFLOW PREDICTION IN UNGAUGED BASINS
Taye Akinrele, Noorbakhsh Amiri Golilarz, University of Alabama, United States; James Halgren, Alabama Water Institute, United States; Sudip Mittal, Shahram Rahimi, University of Alabama, United States
TH1.R15.4: EARTH EMBEDDINGS AS PRODUCTS: TAXONOMY, ECOSYSTEM, AND STANDARDIZED ACCESS
Heng Fang, KTH Royal Institute of Technology, Sweden; Adam J. Stewart, Technical University of Munich, Germany; Isaac Corley, Wherobots, United States; Xiao Xiang Zhu, Technical University of Munich, Germany; Hossein Azizpour, KTH Royal Institute of Technology, Sweden
Resources
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