- Focus on in-memory operations
- Written in Python using Numpy, RasterIO and GDAL packages
- Import/read-in many different types of satellite/raster imagery
- Run pre-processing steps on imagery in a common way
- Vegetation indices
- Resampling
- Rescaling
- Mosaicking (accelerated with Numba)
- Write out results to disk
- Uses data structure that are compatible with other tools
The software is designed to be used in scripts or other processing chains, and is therefore distributed as a python package. The following sections contain instructions for installing the package in an existing python environment.
git clone https://github.com/adamweingram/RasterPack.git RasterPack
pip3 install -e ./RasterPack