pycubeview 0.1.4

A Flexible and Interactive Spectral (and more!) Image Viewer for Python

pycubeview 🔎

A Flexible and Interactive Spectral (and more!) Image Viewer for Python

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Motivation ✨

Whether it's an imaging spectrometer or an InSAR time-series, many remotely sensed scientific data comes in the form of a cube, which is here defined as any dataset that has spatial information in two dimensions and measured values in a third dimension. Below are listed some examples of scientific data cubes:

• Hyperspectral Imagery
• Multispectral Imagery
• Spectral Maps from lab spectrometers
• InSAR Time Series
• Cloud Cover Evolution Map
• LiDAR return counts
• Scanning medical imagery
• RGB Images
• General Vector Fields
• And Many More!

Installation ⬇️

pycubeview can be directly install from the Python Package Index using pip.

pip install pycubeview

Usage ⚙️

The basic CubeView GUI can be opened directly from the command line by ensuring you are in a python environment that has pycubeview installed and running

cubeview.exe

The CubeView GUI can also be started from a python script.

from pycubeview import open_cubeview
open_cubeview(image_data, cube_data, wvl_data)

Where the data can optionally provided as either a Numpy-Array or a filepath to one of the supported file types.

Supported File Types 📂

Image and Cube Data

spectralio files

• .geospcub
• .spcub

rasterio-compatible files

• .img
• .bsq
• .tif

Wavelength Data

• .wvl
• .hdr
• .txt
• .csv