Awesome
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:
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eobox.sampledata contains small sample data that can be used for playing around and testing.
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eobox.raster contains raster processing tools for
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extracting raster values at given (by vector data) locations,
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window- / chunk-wise processing of multiple single layer raster files that do not fit in memory, e.g.
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calculating virtual time series and temporal statistical metrics from all cloud-free observations,
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predicting a machine learning model,
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custom processing functions.
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eobox.vector contains vector processing tools for
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clean convertion of polygons to lines and
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distance-to-polygon border calculation.
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eobox.ml contains machine learning related tools, e.g.
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plotting a confusion matrix including with precision and recall
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extended predict function which returns prediction, confidences, and probabilities.
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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.