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Abstract: High-Fidelity Spatio-temporal Fusion of Multi-sensor Satellite Data: A Two-Stage Generative Adversarial Framework Built Upon ConvLSTM and ViT Deep Learning Models (AGU25)

High-Fidelity Spatio-temporal Fusion of Multi-sensor Satellite Data: A Two-Stage Generative Adversarial Framework Built Upon ConvLSTM and ViT Deep Learning Models

Naveenkumar Purushothaman1,2, Hongxing Liu1, Lei Wang3, Dan Tian1, Anindya Palaparthi1, Yuehan Lu4, Sagy Cohen5 and Bhabani Sankar Das2, (1)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (2)Indian Institute of Technology Kharagpur, Agricultural and Food Engineering, Kharagpur, India, (3)Louisiana State University, Department of Geography and Anthropology, Baton Rouge, LA, United States, (4)The University of Alabama, Geological Sciences, Tuscaloosa, AL, United States, (5)The University of Alabama, Tuscaloosa, AL, United States
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