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gis-development

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TERRA

Desktop app for land-cover classification from Sentinel-2 time series, with per-class accuracy and domain-shift diagnosis, 3D canopy simulation, and solar/wind resource for the same area. Wails + React + Python; STAC/COG imagery, local-first.

  • Updated Nov 9, 2026
  • TypeScript

This repository contains the Google Earth Engine (GEE) and R tools developed as part of my MSc dissertation in Geographic Information Science. The tools were developed to support habitat classification using remote sensing data. The repository includes the scripts, sample data, and documentation required to reproduce the workflow.

  • Updated Aug 27, 2026
  • JavaScript

This project provides a complete, reproducible workflow for automated land cover classification using Sentinel-2 image patches and ESA WorldCover data. The pipeline enables extraction, labeling, and supervised modeling of large geospatial chip collections, supporting quantitative environmental audit and analysis.

  • Updated Jan 11, 2026
  • Python

Built a Composite Vulnerability Index (CVI) for California using U.S. Census data. Applied AHP-based weighting, Weighted Overlay Analysis, and Quantile Classification in GIS to identify, rank, and visualize high-priority socioeconomic vulnerability hotspots.

  • Updated Oct 28, 2026
  • Jupyter Notebook

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