Ecosyste.ms: Awesome
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awesome-hyperspectral
Awesome projects, papers, and tools for working with hyperspectral imagery
https://github.com/Nrevyw/awesome-hyperspectral
Last synced: about 10 hours ago
JSON representation
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Uncategorized
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Software
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Libraries
- torchgeo - An open-source library for training machine learning models using PyTorch on geospatial data.
- spyndex - Allows use of awesome-spectral-indices formulae in Python.
- rasterio - GDAL-based Python library capable of reading hyperspectral data cubes.
- Xarray - Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun!
- Xarray-spatial - Omplements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis.
- Spectral Python (SPY) - Pure Python module for processing hyperspectral image data.
- PySptools - Tools for hyperspectral imaging
- rastervision - An open-source library for geospatial machine learning projects. Many deep learning models are capable of using hyperspectral imagery.
- EarthPy - A Python package that makes it easier to plot and work with spatial raster and vector data using open source tools.
- hsdar - Manage, analyse, and simulate hyperspectral data.
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Software
- EnMAP-Box - Python plugin for QGIS designed to process and visualize hyperspectral remote sensing data.
- AVHYAS - A free & open source QGIS plugin for advanced hyperspectral image analysis
- Google Earth Engine - Cloud computing platform for geospatial data processing and analysis (can also process hyperspectral data!).
- Planetary Computer - Multi-petabyte catalog of geospatial data combined with cloud processing tools in Python and R.
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Papers
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Data Sources
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Imagery
- AVIRIS - Airbone Visible/Infrared Imaging Spectrometer by NASA, in servce since the early 2000s
- PRISMA - Medium-resolution (30m) hyperspectral satellite launched in 2019 by the Italian Space Agency
- EnMAP - Medium-resolution (30m) hyperspectral satellite launched in 2022 by the Earth Observation Center of the German Aerospace Center
- Wyvern - Canadian space company developing high-resolution hyperspectral satellites with deployable optics.
- Pixxel - Space data company building a constellation of hyperspectral satellites.
- Orbital Sidekick - Persistent monitoring service with constellation of hyperspectral satellites
- Planet - Mature space data company developing a constellation of 30m GSD hyperspectral satellites
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Hyperspectral Signatures
- USGS Spectral Library - Thousands of materials compiled into an easy to search & download library.
- Urban Surfaces Spectral Library - Library of spectral signatures focused on urban materials. Developed by the University of Reading's London Urban Meteorological Observitory.
- ECOSTRESS Spectral Library - Library containing over 3400 natural and man made material spectra, and includes data from three other spectral libraries (Johns Hopkins, JPL, and USGS).
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Resources
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Hyperspectral Signatures
- Wyvern Knowledge Base - The go-to guide for all things hyperspectral! Now with sample data!
- L3Harris Documentation - L3Harris' software is paid and closed source, however their documentation provides an excellent source of indices and tutorials for processing hyperspectral imagery.
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Programming Languages
Categories
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Keywords
remote-sensing
5
satellite-imagery
4
deep-learning
3
earth-observation
3
python
3
awesome
2
sentinel
2
google-earth-engine
2
pytorch
2
spectral-index
2
spectral-indices
2
earth-engine
2
machine-learning
2
geospatial
2
datasets
2
gis
2
data-analysis
1
geoprocessing
1
awesome-list
1
geospatial-analysis
1
tensorflow
1
satellite-images
1
satellite-data
1
object-detection
1
keras
1
image-classification
1
deep-neural-networks
1
dataset
1
convolutional-neural-networks
1
xarray
1
spectral-data
1
spectral
1
python3
1
pandas
1
numpy
1
transforms
1
torchvision
1
models
1
computer-vision
1
sentinel-2
1
sentinel-1
1
raster
1
radar
1
modis
1
landsat-8
1
landsat-7
1
landsat
1
javascript
1
geographic-information-systems
1
spatial-data
1