Skip to main content

A Python package for processing hyperspectral data in coastal regions

Project description

HyperCoast

image image image image Conda Recipe Conda Downloads

A Python package for visualizing and analyzing hyperspectral data in coastal regions

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
  • Saving spectral signatures as CSV files

Demos

  • Visualizing hyperspectral data in 3D (notebook)

Cube

  • Changing band combinations and colormaps interactively (notebook)

colormap

AVIRIS

DESIS

  • Visualizing NASA EMIT hyperspectral data interactively (notebook)

EMIT

  • Visualizing NASA PACE hyperspectral data interactively (notebook)

PACE

NEON

Acknowledgement

This projects draws inspiration and adapts source code from the nasa/EMIT-Data-Resources repository. Credit goes to the original authors.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypercoast-0.5.2.tar.gz (42.7 kB view details)

Uploaded Source

Built Distribution

HyperCoast-0.5.2-py2.py3-none-any.whl (34.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file hypercoast-0.5.2.tar.gz.

File metadata

  • Download URL: hypercoast-0.5.2.tar.gz
  • Upload date:
  • Size: 42.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for hypercoast-0.5.2.tar.gz
Algorithm Hash digest
SHA256 2831943833b2d7617e7445f0b992214ae1a73d14848eacd06c3037f4ef29c09a
MD5 08f9f22034b89ebd6bdeb72e46ca013d
BLAKE2b-256 fa7ac0c3ed389c4d9f47b6d215d6d97334b9329855c9d4c1308bdb8c494be6f5

See more details on using hashes here.

File details

Details for the file HyperCoast-0.5.2-py2.py3-none-any.whl.

File metadata

  • Download URL: HyperCoast-0.5.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 34.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for HyperCoast-0.5.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 93f8f593b84b2a2b20e33a60af96cf5f1958c35ff77a56a6ffc03ca6df5481ea
MD5 7c201cffdbea6e804f7f1fd093830c40
BLAKE2b-256 763d81d0b2a0bb57ccd7a1c61b311ef48cd00c7de2f0411912ed6f5b89c4e716

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page