https://github.com/kylebarron/deck.gl-raster
deck.gl layers and WebGL modules for client-side satellite imagery analysis
https://github.com/kylebarron/deck.gl-raster
deck-gl earth-observation landsat landsat-8 remote-sensing satellite satellite-imagery webgl
Last synced: 8 months ago
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deck.gl layers and WebGL modules for client-side satellite imagery analysis
- Host: GitHub
- URL: https://github.com/kylebarron/deck.gl-raster
- Owner: kylebarron
- License: mit
- Created: 2020-04-19T01:46:30.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-01-06T00:40:44.000Z (about 3 years ago)
- Last Synced: 2025-07-20T05:15:30.567Z (8 months ago)
- Topics: deck-gl, earth-observation, landsat, landsat-8, remote-sensing, satellite, satellite-imagery, webgl
- Language: JavaScript
- Homepage: https://kylebarron.dev/deck.gl-raster/
- Size: 10.5 MB
- Stars: 89
- Watchers: 10
- Forks: 12
- Open Issues: 52
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
# deck.gl-raster


deck.gl layers and WebGL modules for client-side satellite imagery processing on the GPU.
[][docs_website]
Landsat 8 [Modified Soil Adjusted Vegetation Index][msavi] over the Grand Canyon and Kaibab Plateau, with the [`cfastie` colormap][cfastie].
[msavi]: https://www.usgs.gov/land-resources/nli/landsat/landsat-modified-soil-adjusted-vegetation-index
[cfastie]: /colormaps
## Overview
[deck.gl](https://deck.gl) is a great WebGL-accelerated geospatial rendering
engine for the browser. deck.gl layers are designed to be composable and easy to
extend. As such, small variations of the pre-built layers can do amazing new
things, while not being fit for inclusion in the standard layer library.
This repository contains deck.gl layers and reusable WebGL modules for rendering
and computation on rasters, especially satellite imagery.
[Documentation Website][docs_website]
[docs_website]: https://kylebarron.dev/deck.gl-raster