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pyroSAR is an open-source Python framework designed for large-scale Synthetic Aperture Radar (SAR) satellite data processing. Its core objective is to provide a complete and scalable solution for SAR data organization, processing, and analysis, integrating data acquisition, metadata management, preprocessing, and interaction with mainstream processing software like ESA SNAP. This significantly simplifies complex SAR data processing workflows.

Official Website: https://github.com/johntruckenbrodt/pyroSAR/

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This article reviews prominent water detection indices - NDWI, MNDWI, NDMI, AWEI, and WRI - highlighting their distinct formulas, applications, and limitations in remote sensing analysis.

NDWI

Normalized Difference Water Index
Developed by McFeeters (1996) to identify open water bodies using spectral reflectance differences:

Formula:
NDWI = (NIR - Green) / (NIR + Green)

Principle:

• High reflectance in Green band
• Strong absorption in Near-Infrared (NIR) band
• Maximizes contrast between water and vegetation/soil

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