Skip to main content

Awesome projects, papers, and tools for working with hyperspectral imagery

70
GitHub Stars
42
Curated Resources
4
Categories
1 hour ago
Last Refreshed
SoftwarePapersData SourcesResources

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me software resources from awesome-hyperspectral"

Installation instructions →

What's inside

Software

  • AVHYASSoftware

    A free & open source QGIS plugin for advanced hyperspectral image analysis

  • EarthPyLibraries

    A Python package that makes it easier to plot and work with spatial raster and vector data using open source tools.

  • EnMAP-BoxSoftware

    Python plugin for QGIS designed to process and visualize hyperspectral remote sensing data.

  • Google Earth EngineSoftware

    Cloud computing platform for geospatial data processing and analysis (can also process hyperspectral data!).

  • hsdarLibraries

    Manage, analyse, and simulate hyperspectral data.

  • Hyperspectral Anomaly Detection AlgorithmsLibraries

    HSI anomaly detection algorithms implemented in a wide variety of languages.

Data Sources

  • AVIRISImagery

    Airbone Visible/Infrared Imaging Spectrometer by NASA, in servce since the early 2000s

  • ECOSTRESS Spectral LibraryHyperspectral Signatures

    Library containing over 3400 natural and man made material spectra, and includes data from three other spectral libraries (Johns Hopkins, JPL, and USGS).

  • EnMAPImagery

    Medium-resolution (30m) hyperspectral satellite launched in 2022 by the Earth Observation Center of the German Aerospace Center

  • EsperImagery

    Australian space company building high-resolution hyperspectral satellites with a focus on mining.

  • Orbital SidekickImagery

    Persistent monitoring service with constellation of hyperspectral satellites

  • PixxelImagery

    Space data company building a constellation of hyperspectral satellites.

Resources

Papers

Showing a sample of 42 resources. View the full list on GitHub →