/xarray-enmap

notebooks to get started working with enmap hyperspectral data in python

Primary LanguageJupyter NotebookMIT LicenseMIT

xarray-enmap

notebooks to get started working with enmap hyperspectral data in python


The best way to get started with data from the DLR hyperspectral mission EnMap is to use the QGIS plugin EnMAP box.

If you want to do analyses on large multi-image mosaics, fuse EnMAP with other satellite data, or do some scalable ML, you will need to use python tools like xarray and dask. This repo contains a notebook to get you started with using EnMAP data in python with xarray and doing some ML using dask-ml. This notebook is very basic and leaves out many data quality checks and model checks that you should do in a real-world setting.

To get access to EnMAP data sign up here

pca plot