We can add some functionality for analyzing hypespectral data. See some good examples below:

• EMIT-Data-Resources
• hyperspectral-notebooks
• https://oceancolor.gsfc.nasa.gov/resources/docs/tutorials/
• earthdata-cloud-cookbook
• nasa-pace-data-reader
• OCI File Structure
• Ocean Color Tutorials
• Esri EMIT Tutorial
• DeltaX_OpenDataWorkshop_AVIRIS-NG
• Mapping-flowering-dynamics
• Cyanobacteria Algal Bloom from Satellite
• NASA VITALS
• AVHYAS
• https://pace.oceansciences.org/event_archive/CoP_Webinar2024.htm
• https://cyfi.drivendata.org/
• https://pacehackweek.github.io/pace-2024/
• https://pacehackweek.github.io/pace-2024/intro.html
• https://github.com/yotarazona/scikit-eo
• https://github.com/jiadong-lou/aphy-chla-predictions
• https://github.com/eecn/Hyperspectral-Classification
• https://www.spectralpython.net/algorithms.html#spectral-angles
• https://github.com/isaacgerg/matlabHyperspectralToolbox/blob/master/hyperspectralToolbox/hyperDemo.m
• https://github.com/mdarm/hyperspectral-image-clustering/tree/main
• https://github.com/khyde/kae_means/blob/main/kaemeans_workflow.ipynb
• https://github.com/radio-astro-tools/spectral-cube
• HyperGUI
• https://github.com/jiadong-lou/aphy-chla-predictions/blob/main/VAE_Chl.py
• https://github.com/ryan-edward-oshea/MDN_tutorials/tree/main
• https://github.com/nasa/ECOSTRESS-Data-Resources/tree/main/python/tutorials
• https://www.bioscape.io/data
• https://popo.jpl.nasa.gov/mmgis-aviris/?mission=BIOSCAPE
• https://oceancolor.gsfc.nasa.gov/resources/docs/tutorials/