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Package to get soil profiles of the Netherlands.

Project description

DutchSoils - get Dutch soil data

PyPI - Version

DutchSoils is a Python package to get soil data from the Dutch Soil Map, Staring series and BOFEK clustering.

It contains code to get soil texture data from the Dutch Soil Map and combine that with the BOFEK soil clustering and the hydraulic parameters from the Staring series.

[!Note] The data and soil profiles in this package are not actual measurements but are derived from field measurements. It is assumed that the soil profile and associated data are typical for the soil at a certain location.

Installation

The easiest way to install the package is through pip:

pip install dutchsoils

Get started

Getting a soil profile with geographical coordinates, getting the data of its horizons and plotting the common parameters:

import dutchsoils as ds
sp = ds.SoilProfile.from_location(x=171827, y=445436, crs="EPSG:28992")
sp.get_data_horizons()
sp.plot()

An example with other available options is given in docs/examples.

Feedback

Feedback is always welcome!

Questions, issues, feature requests and bugs can be reported in the issue section.

Many thanks to

  • The people behind pyOpenSci, who provided an elaborate step-by-step tutorial on how to publish a Python package.
  • The developers of (among others) pyswap, pedon, and Artesia Water, whose Python packages were a source of inspiration.

Sources

  • Wageningen Environmental Research (2024). Bodemkaart van Nederland V2024-01. https://www.broloket.nl/ondergrondmodellen; downloaded on 07-08-2025.
  • Heinen, M., Brouwer, F., Teuling, K., & Walvoort, D. (2021). BOFEK2020 - Bodemfysische schematisatie van Nederland: Update bodemfysische eenhedenkaart. Wageningen Environmental Research. https://doi.org/10.18174/541544
  • Heinen, M., Bakker, G., & Wösten, J. H. M. (2020). Waterretentie- en doorlatendheidskarakteristieken van boven- en ondergronden in Nederland: De Staringreeks : Update 2018 [page 17]. Wageningen Environmental Research. https://doi.org/10.18174/512761

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