eobox is a Python package with a small collection of tools for working with Remote Sensing / Earth Observation data.

So far, the following subpackages are available:

• eobox.sampledata contains small sample data that can be used for playing around and testing.

• eobox.raster contains raster processing tools for

  • extracting raster values at given (by vector data) locations,

  • window- / chunk-wise processing of multiple single layer raster files that do not fit in memory, e.g.

    • calculating virtual time series and temporal statistical metrics from all cloud-free observations,

    • predicting a machine learning model,

    • custom processing functions.

• eobox.vector contains vector processing tools for

  • clean convertion of polygons to lines and

  • distance-to-polygon border calculation.

• eobox.ml contains machine learning related tools, e.g.

  • plotting a confusion matrix including with precision and recall

  • extended predict function which returns prediction, confidences, and probabilities.

The package requires Python 3. It can be installed with the following command:

pip install eobox

The environment.yaml in the repository can be used to setup a conda environment with all dependencies required for using and building the package and running the tests and documentation code.

conda env create --name=eobox --file=environment.yml
pip install eobox

The package documentation can be found at readthedocs.