DOE OSTI · code-184256
Software for High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling
Abstract
SF-26-078 This software provides a high-level workflow for satellite-based flood and surface-water mapping using Sentinel-1 SAR and Sentinel-2 multispectral imagery. It supports preparation of remote-sensing data, training and evaluation of deep-learning models, and generation of high-resolution water extent predictions, including methods to improve robustness to SAR speckle noise and cross-sensor image misalignment.
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Feinstein, Jeremy [Argonne National Laboratory (ANL), Argonne, IL (United States)], Ma, David [Argonne National Laboratory (ANL), Argonne, IL (United States)]. 2026-06-04. Software for High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling. https://doi.org/10.11578/dc.20260626.1
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