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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Towards geomorphometry of plains - country level unsupervised classification of low-relief areas (Poland)

Authors: Krzysztof, Dyba; Jasiewicz, Jarosław;

Towards geomorphometry of plains - country level unsupervised classification of low-relief areas (Poland)

Abstract

Catalog "input_rasters" contains ten downsampled geomorphometric variables with 500 m resolution. There are serialized models in .rds format including Gaussian mixture model (GMM_model.rds) and data transformator (transformator.rds) in "models" catalog. The mclust package is required to load the GMM model, and the recipes package is required for the transformator. The map with geomorphological units is saved in the geomorphometry_map.tif file. The map with the calculated uncertainty of these units is saved in the uncertainty_map.tif file. In addition, a separate .xml file with class names is included. All rasters are in the ETRS89 / Poland CS92 (EPSG:2180) coordinate system and GeoTIFF format. The code to reproduce the results can be found in the GitHub repository: https://github.com/kadyb/geomorph_clustering

This dataset is the result of research funded by the National Science Centre, Poland 2021/41/N/ST10/00347.

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Keywords

spatial, geomorphometry, geomorphology, Poland, clustering

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