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ethylmethylether / repository
Used Sentinel-2 satellite imagery and Python to analyze vegetation changes in Islamabad Region over a 9-year period. Leveraged NDVI (Normalized Difference Vegetation Index) to quantify vegetation health and track land-cover changes.
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This project analyzes vegetation changes in Islamabad, Pakistan, from 2016 to 2025 using Sentinel-2 satellite imagery and NDVI (Normalized Difference Vegetation Index). It quantifies vegetation health and detects areas of vegetation loss or gain over time.
Data - Original Sentinel-2 .jp2 filesoutputs/ndvi_maps/ - NDVI maps for each yearoutputs/ndvi_diff_maps/ - NDVI difference maps (e.g., 2020 vs 2016)outputs/trend_plots/ - Mean NDVI trend plotsreport/ndvi_analysis.pdf - Full reportscripts/ - Python scripts for calculation, clipping, and plotting(NIR - RED) / (NIR + RED)NDVI_later - NDVI_earlierPython libraries used:
rasterionumpymatplotlibSelected from shared topics, language and repository description—not editorial ratings.
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