Adversarial Attack (Erosion and Dilation) Dataset for Amazon River Basin

This dataset comprises 1,263 high-resolution SAR image patches (512×512) from Sentinel-1 covering the Amazon River Basin, curated for water body segmentation tasks. The region was selected for its complex river networks and variability in channel structures, making it ideal for robust model training and evaluation. Sentinel-1 GRD products were acquired via the Alaska Satellite Facility (ASF) API and underwent standard preprocessing steps, including orbit file application, radiometric calibration, speckle filtering, and terrain correction using a DEM. Ground truth masks were generated using Sentinel-2 multispectral imagery through the Normalized Difference Water Index (NDWI), computed in Google Earth Engine. This method was adopted after observing inaccuracies with publicly available shapefiles due to outdated or incomplete information. The final dataset offers a reliable benchmark for water segmentation models in SAR imagery, addressing the challenges of geometric complexity, label accuracy, and large-area coverage.The codebase for the same can be found at GVCL/IWSeg-SAR-Poison: Code and datasets for inland water segmentation from SAR images, specifically Sentinel-1, with data poisoning attacks