Sonicious / ForestVitalityQuest

ForestVitalityQuest

TODO

• Move to STAC access for the data via stacstac

Description

DLR project

ML4Earth

ForestVitalityQuest

Data from KIT

Data CRS:

Cubo:

• cut is somewhere west of city Halle at 12 degrees
• EPSG:32633
• EPSG:32632

deadwood data:

• EPSG:3035

Shapefiles:

• EPSG:3035

-> So better convert cubo stuff to the corresponding UTM grid until things work out better. -> For future: Deadwood data and shapefiles should be converted to UTM as well.

Requirements

conda create -n forestvitalityquest python pip
conda activate forestvitalityquest
conda install -n forestvitalityquest -c conda-forge cubo xarray spyndex importlib_metadata ipykernel matplotlib dask sen2nbar numpy gdal rasterio scipy scikit-learn netcdf4 h5netcdf scikit-image pandas zarr

python -Xfrozen_modules=off -m ipykernel install --user --name "ForestVitalityQuest" --display-name "Forest Vitality Quest Kernel"

conversions of the files to netcdf with convert.bat

then conversion to a datacube with createDatacube.py

python createDatacube --input_dir /path/to/input [--output_dir /path/to/output] [--save_zarr]