There is an increasing availability of spatially explicit, freely available land use and cover (LUC) time series worldwide. Because of the enormous amount of data this represents, the continuous updates and improvements in spatial and temporal resolution and category differentiation, as well as increasingly dynamic and complex changes made, manual data extraction and analysis is highly time consuming, and making software tools available to automatize LUC data assessment is becoming imperative. This paper presents a software developed in R, which combines LUC raster time series data and their transitions, calculates state-of-the-art LUC change indicators, and creates spatio-temporal visualizations, all in a coherent workflow. The functionality of the application developed is demonstrated using an LUC dataset of the Pantanal floodplain contribution area in Central Brazil.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2021-021.zip
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For attribution, please cite this work as
Exavier & Zeilhofer, "OpenLand: Software for Quantitative Analysis and Visualization of Land Use and Cover Change", The R Journal, 2021
BibTeX citation
@article{RJ-2021-021,
author = {Exavier, Reginal and Zeilhofer, Peter},
title = {OpenLand: Software for Quantitative Analysis and Visualization of Land Use and Cover Change},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-021},
doi = {10.32614/RJ-2021-021},
volume = {12},
issue = {2},
issn = {2073-4859},
pages = {372-387}
}