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stat.AP2025
Automated flood detection from Sentinel-1 GRD time series using Bayesian analysis for change point problems
Narumasa Tsutsumida, Tomohiro Tanaka, Nifat Sultana
Current Synthetic Aperture Radar (SAR)-based flood detection methods face critical limitations that hinder operational deployment. Supervised learning approaches require extensive…
stat.AP2025
A Bayesian Inference Approach for Reducing Inter-Investigator Variability in Sampling-Based Land Cover Classification
Narumasa Tsutsumida, Akira Kato
Land cover classification faces persistent challenges with inter-investigator variability and salt-and-pepper noise. Although cloud platforms such as Google Earth Engine have made…