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-0.5.1.tar.gz (42.7 kB view details)

Uploaded Source

Built Distribution

HyperCoast-0.5.1-py2.py3-none-any.whl (34.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file hypercoast-0.5.1.tar.gz.

File metadata

  • Download URL: hypercoast-0.5.1.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-0.5.1.tar.gz
Algorithm Hash digest
SHA256 9676eeab43cc12e7bb9b200876b2450f33731beaf8d3d39a6e833ef467936f84
MD5 b77faf421acec9dc272d622bf097c827
BLAKE2b-256 d0474d52638af3d4c0170b00a997d42d49384638185e88c6563d98ab444db2b4

See more details on using hashes here.

File details

Details for the file HyperCoast-0.5.1-py2.py3-none-any.whl.

File metadata

  • Download URL: HyperCoast-0.5.1-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-0.5.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7ff167fc8d31b3334bff44c42c40da9dd2514e7e079fb0a9a6d3ea77fefd2ce0
MD5 08268554dcdd50ce495a07fef497c7a7
BLAKE2b-256 771cf78dfcc885528790fe9ee9fb7424755ce43d1d63fb0e8b4f400d1bbaace4

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