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A set of scripts and utilities for working with Google Earth Engine. This repository provides tools for analyzing satellite imagery, geospatial data processing, and leveraging Earth Engine’s powerful cloud-based platform for environmental and spatial analysis.

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Geospatial Visualizations & Charts

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.

Project Structure

geospatial_vizualisations/
├── rvi/
├── ndci/
├── ndsi/
geospatial_charts/
└── time_series/
outputs/
├── figures/
├── scripts/
├── rasters/
└── vectors/
tests/
└── Scripts for validation or unit testing

Technologies Used

  • Google Earth Engine (JavaScript or Python API)
  • scikit-learn (optional, for classification tasks)
  • Python 3.x
  • GeoPandas, Rasterio, Shapely
  • Matplotlib, Seaborn, Plotly
  • NumPy, Pandas

Author

Sarah GIS & Geosptial
GIS Engineer & Developer LinkedIn YouTube

License

This project is licensed under the MIT License. See the LICENSE file for details.

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A set of scripts and utilities for working with Google Earth Engine. This repository provides tools for analyzing satellite imagery, geospatial data processing, and leveraging Earth Engine’s powerful cloud-based platform for environmental and spatial analysis.

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