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A toolbox for processing earth observation data with Python.

Project description

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eo-box

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

Package Overview

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.

Installation

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

Documentation

The package documentation can be found at readthedocs.

Project details


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