Creation of a detailed land use land cover product for the territory of the European Union based on OpenStreetMap and CLCplus data

Although satellite data with subdecimal spatial resolution is becoming widely available, producing land cover products from them remains uncommon, especially at national or continental scales. This study proposes an alternative to detailed land use land cover mapping without using satellite data, utilising the freely available OpenStreetMap instead. While OpenStreetMap does not necessarily contain such information per se, it has been used in previous studies, typically at local scales with limited thematic or spatial resolution. This paper focuses on achieving high thematic and spatial resolution at national to continental scales. The OpenStreetMap processing workflow includes harmonization and translation of polygon and linear features, spatial tiling for efficient processing, rule-based rasterisation at 2 m, and gap-filling unmapped areas using the CLCplus Backbone dataset. The methodology was applied across all European Union countries for 2018 and 2022. The resulting two-meter hybrid OSM/CLCplus land use/cover product with 19 classes is made freely available.

Authors

Institutions

Publication Details

Journal
Geocarto International
Published
2026-09-01
DOI
https://doi.org/10.1080/10106049.2026.2720980
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Creation of a detailed land use land cover product for the territory of the European Union based on OpenStreetMap and CLCplus data

Tomáš Bouček, Martin Landa, Lena Halounová, Lukáš Brodský et al.
Geocarto International
Remote Sensing in Agriculture
article

Creation of a detailed land use land cover product for the territory of the European Union based on OpenStreetMap and CLCplus data

Tomáš Bouček, Martin Landa, Lena Halounová, Lukáš Brodský, Ondřej Pešek
article en

Abstract

Although satellite data with subdecimal spatial resolution is becoming widely available, producing land cover products from them remains uncommon, especially at national or continental scales. This study proposes an alternative to detailed land use land cover mapping without using satellite data, utilising the freely available OpenStreetMap instead. While OpenStreetMap does not necessarily contain such information per se, it has been used in previous studies, typically at local scales with limited thematic or spatial resolution. This paper focuses on achieving high thematic and spatial resolution at national to continental scales. The OpenStreetMap processing workflow includes harmonization and translation of polygon and linear features, spatial tiling for efficient processing, rule-based rasterisation at 2 m, and gap-filling unmapped areas using the CLCplus Backbone dataset. The methodology was applied across all European Union countries for 2018 and 2022. The resulting two-meter hybrid OSM/CLCplus land use/cover product with 19 classes is made freely available.

Geocarto InternationalVol. 41(1)
Charles University (CZ), Czech Technical University in Prague (CZ)
České Vysoké Učení Technické v Praze
Life in Land
Openalex Percentile: Top 10%
Remote Sensing in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.