[general]
name=SNYM_CMES
qgisMinimumVersion=3.16
qgisMaximumVersion=3.99
description=SNYM_CMES — automated NDVI-based land degradation screening for coal mining areas. No field ground-truth required.
version=0.1.0
author=Sanyam Dadhich
email=sanyamdadhich.rsmin26@itbhu.ac.in

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 — no extra Python packages need to be installed.

tracker=https://github.com/sanyamdadhichrsmin26-code/SNYM_CMES/issues
repository=https://github.com/sanyamdadhichrsmin26-code/SNYM_CMES
homepage=https://github.com/sanyamdadhichrsmin26-code/SNYM_CMES

tags=remote sensing,mining,coal,environment,NDVI,land degradation,vegetation,change detection

category=Analysis
icon=icon.png
license=GPL-2.0-or-later

experimental=True
deprecated=False
server=False
hasProcessingProvider=yes

changelog=0.1.0 - Initial experimental release. Adds the "NDVI Degradation Flag (before/after)" Processing algorithm: pixel-wise NDVI change classification into severe degradation / mild degradation / stable / improvement, with per-class area reported in hectares.
