Tools for processing geospatial data
Project description
Raster Tools
Python tools for lazy, parallel geospatial raster processing.
Introduction
Raster Tools is a Python package that facilitates a wide range of geospatial, statistical, and machine learning analyses using delayed and automated parallel processing for rasters. It seeks to bridge the gaps in Python's data stack for processing raster data and to make building processing and analysis pipelines easier. With Raster Tools, operations can be easily chained together, eliminating the need to write intermediate results and saving on storage space. The use of Dask, also enables out-of-core processing so rasters larger than the available memory can be processed in chunks.
Under the hood, Raster Tools uses Dask to parallelize tasks and delay operations, Rasterio, rioxarray, and odc-geo for geospatial operations, and Numba for accelerating Python code. Limited support is also provided for working with Vector data using dask-geopandas.
Install
Pip
pip install raster-tools
To enable reading netCDF and GRIB files via raster_tools.open_dataset:
pip install raster-tools[io]
Conda
conda install -c conda-forge dask-geopandas dask-image fiona numba odc-geo pyogrio rioxarray scipy
pip install --no-deps raster-tools
Add netcdf4 and cfgrib to the install command above to enable reading
netCDF and GRIB files.
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