A Python package for processing hyperspectral data in coastal regions
Project description
HyperCoast
A Python package for visualizing and analyzing hyperspectral data in coastal regions
- Free software: MIT License
- Documentation: https://hypercoast.org
Features
- Searching for NASA hyperspectral data interactively
- Interactive visualization and analysis of hyperspectral data, such as AVIRIS, DESIS, EMIT, PACE, NEON AOP
- Interactive visualization of NASA ECOSTRESS data
- Interactive visualization of PACE chlorophyll-a data
- Interactive extraction and visualization of spectral signatures
- Changing band combinations and colormaps interactively
- Visualizing hyperspectral data in 3D
- Visualizing ERA5 temperature data in 3D
- Interactive slicing and thresholding of hyperspectral data in 3D
- Saving spectral signatures as CSV files
Demos
- Visualizing hyperspectral data in 3D (notebook)
- Interactive slicing of hyperspectral data in 3D (notebook)
- Interactive thresholding of hyperspectral data in 3D (notebook)
- Visualizing ERA5 temperature data in 3D (notebook)
- Changing band combinations and colormaps interactively (notebook)
Acknowledgement
This projects draws inspiration and adapts source code from the nasa/EMIT-Data-Resources repository. Credit goes to the original authors.
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