NAME
i.hyper - i.hyper family modules
The purpose of
i.hyper is to provide a complete toolset for hyperspectral data processing in GRASS.
It enables importing, preprocessing, visualization and exporting of hyperspectral datasets (
raster_3d).
Modules in the
i.hyper suite operate together to handle hyperspectral workflows.
They include tools for data import, spectral preprocessing, visualization, and export,
fully integrated with the GRASS 3D raster environment.
-
Importers for additional data
(OCI, HySIS, EMIT, DESIS, Hyperion)
-
Additional preprocessing modules
(e.g., wavelet transform)
- Smarter metadata handling
-
Standardized export formats (Zarr, HDF5)
(metadata in headers or separate files)
- Aerial imagery module with multi-sensor harmonization
- Atmospheric correction from radiance to reflectance
- Integration of field spectrometry data
- Support for regression and classification tasks
- Improved read and write performance
(including faster 3D garray access)
- Refactoring Python components to native GRASS where possible
- 3D hyperspectral cube visualization
i.hyper.* modules require the following Python libraries for full functionality:
- NumPy
- SciPy
- scikit-learn
- Matplotlib
- h5py
- rasterio
- pyproj
The
i.hyper.explore module requires the GRASS addon
r3.what*
After dependencies are installed, the toolset can be added to GRASS using:
g.extension extension=i.hyper
i.hyper.import,
i.hyper.preproc,
i.hyper.explore,
i.hyper.composite,
i.hyper.export
r3.what
Alen Mangafić and Tomaž Žagar, Geodetic Institute of Slovenia
SOURCE CODE
Available at:
i.hyper source code
(history)
Latest change: Wednesday Dec 10 05:47:46 2025 in commit: 12784b64637a7d637ee6eba42d8483558409a587
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GRASS GIS 8.4.3dev Reference Manual