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 extraction and visualization of spectral signatures
- Changing band combinations and colormaps interactively
- Visualizing hyperspectral 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)
- 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hypercoast-0.6.0.tar.gz
(48.2 kB
view hashes)
Built Distribution
Close
Hashes for HyperCoast-0.6.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6fbe34f6cc23d165c88c1abfa1d5e896f4d4c935d340d7687b727e5e3411ca00 |
|
MD5 | 1695af59adb0674c31963bebdedbc2d2 |
|
BLAKE2b-256 | 22d20bc7ccf80bf536cd479261b3f37659dbf3d915126b7634d12074ac7d59a9 |