This repository contains a structured collection of geospatial scripts, visual outputs, and data products for analyzing and visualizing GIS data & remote sensing indices and time series derived from satellite data.
The goal of this repository is to:
- Compute, analyze, and visualize geospatial indices in Google Earth Engine: https://earthengine.google.com/
- Generate geospatial charts and time series visualizations,
- Organize outputs including figures, processed raster/vector data, and scripts,
- Support reproducibility and testing through a clean, modular structure.
geospatial_vizualisations/
├── rvi/
├── ndci/
├── ndsi/
geospatial_charts/
└── time_series/
outputs/
├── figures/
├── scripts/
├── rasters/
└── vectors/
tests/
└── Scripts for validation or unit testing
- Google Earth Engine (JavaScript or Python API)
- scikit-learn (optional, for classification tasks)
- Python 3.x
- GeoPandas, Rasterio, Shapely
- Matplotlib, Seaborn, Plotly
- NumPy, Pandas
Sarah GIS & Geosptial
GIS Engineer & Developer
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This project is licensed under the MIT License. See the LICENSE file for details.