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 hashes)

Uploaded Source

Built Distribution

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

Uploaded Python 2 Python 3

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