{"name": "SNYM_CMES", "package_name": "SNYM_CMES", "description": "SNYM_CMES \u2014 automated NDVI-based land degradation screening for coal mining areas. No field ground-truth required.", "about": "SNYM_CMES (Coal Mine Environmental Screen) adds an \"NDVI Degradation Flag\" tool to the QGIS Processing Toolbox. It compares a \"before\" and \"after\" multiband raster of the same area, computes NDVI for each date, classifies the change into severe degradation / mild degradation / stable / improvement, and reports the area (in hectares) covered by each class. Built as the first module of a larger coal mining environmental decision-support toolkit for a mining engineering PhD project. Designed to run entirely on freely available satellite imagery (Sentinel-2, Landsat) with no field survey data as a prerequisite. Both input rasters must share the same extent, resolution and CRS; use the built-in \"Align Rasters\" tool first if they do not. Dependencies: NumPy and GDAL only, both shipped with standard QGIS installations \u2014 no extra Python packages need to be installed.", "homepage": "https://github.com/sanyamdadhichrsmin26-code/SNYM_CMES", "repository": "https://github.com/sanyamdadhichrsmin26-code/SNYM_CMES", "tracker": "https://github.com/sanyamdadhichrsmin26-code/SNYM_CMES/issues", "author": "Sanyam Dadhich", "tags": ["remote sensing", "mining", "coal", "environment", "ndvi", "land degradation", "vegetation", "change detection"], "downloads": 24, "latest_version": "0.1.0", "versions": [{"version": "0.1.0", "experimental": true, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 24, "uploaded_by": "sanyamdadhichrsmin26-code", "upload_datetime": "2026-09-08T04:03:21.596551"}]}