RasterPack

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A set of tools to designed to make processing raster data easier and faster

Key Features • How to Use

Key Features

• 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

How to Use

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.

MacOS/Linux/Unix

git clone https://github.com/adamweingram/RasterPack.git RasterPack

pip3 install -e ./RasterPack