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A Python package for processing hyperspectral data in coastal regions

Project description

HyperCoast

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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
  • Interactive slicing and thresholding of hyperspectral data in 3D
  • Saving spectral signatures as CSV files

Demos

  • Visualizing hyperspectral data in 3D (notebook)

Cube

  • Interactive slicing of hyperspectral data in 3D (notebook)

Slicing

  • Interactive thresholding of hyperspectral data in 3D (notebook)

Slicing

  • 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.

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