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
Conda
conda install -c conda-forge cfgrib dask-geopandas dask-image fiona netcdf4 numba odc-geo pyogrio rioxarray scipy
pip install --no-deps raster-tools
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