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-0.5.4.tar.gz (44.1 kB view details)

Uploaded Source

Built Distribution

HyperCoast-0.5.4-py2.py3-none-any.whl (34.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file hypercoast-0.5.4.tar.gz.

File metadata

  • Download URL: hypercoast-0.5.4.tar.gz
  • Upload date:
  • Size: 44.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for hypercoast-0.5.4.tar.gz
Algorithm Hash digest
SHA256 4e1b57207c897988111ccf6977790a7ca1f7f213bb57c6b603fdac94b43a16f5
MD5 8d1445cb0ebe6efe9eeb10751ebe243a
BLAKE2b-256 0358b5416e51a3bf15cf7b8e5e100c8630ec087a9ec9262d0e08f5b1746bb54f

See more details on using hashes here.

File details

Details for the file HyperCoast-0.5.4-py2.py3-none-any.whl.

File metadata

  • Download URL: HyperCoast-0.5.4-py2.py3-none-any.whl
  • Upload date:
  • Size: 34.7 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-0.5.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 aae07e589e1aad1252095e13c5d65261659c92cbb447931d73f10fbba01864e9
MD5 9317d5c78ae53489c91c9b8b9229cdce
BLAKE2b-256 ce2f984a63b639c69acc747ab34848f7b39e142de99ee6f55c7655584df3ecd9

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