Hybrid OSM/CLCplus land cover tiles for EU countries for 2018
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F25%3A00385001" target="_blank" >RIV/68407700:21110/25:00385001 - isvavai.cz</a>
Výsledek na webu
<a href="https://zenodo.org/records/15648881" target="_blank" >https://zenodo.org/records/15648881</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Hybrid OSM/CLCplus land cover tiles for EU countries for 2018
Popis výsledku v původním jazyce
OpenStreetMap (OSM) effectively captures landscape boundaries, making it valuable for land cover and land use (LCLU) mapping. However, its crowd-sourced nature introduces inconsistencies, misclassifications, and overlapping features. A global assessment revealed that only 17 countries, primarily in Europe, exceed 60% data completeness, with urban areas generally better represented than rural or natural regions. The resulting dataset in our study represents historical OSM data from 2018 across the European Union and the United Kingdom, translating OSM elements into a standardized nomenclature of 22 LCLU classes. The methodology involves a multi-step process, including the buffering of line features, sequential rasterization at 2 m resolution, and prioritization of LULC classes to preserve small land features. The dataset integrates OSM with the pan-European CLCplus Backbone (Sentinel-2 data, https://land.copernicus.eu/en/products/clc-backbone) in areas lacking OSM coverage. The resulting 30 km x 30 km raster tiles contain a total of 19 land use and land cover classes and are available for all European Union countries for the reference year 2018. A web service is also available, providing merged tiles into a single pan-European layer. The Cloud Optimized GeoTIFF can be accessed using the following address: https://geoforall.fsv.cvut.cz/st_lucas/data/osm_clcplus_2018.tif
Název v anglickém jazyce
Hybrid OSM/CLCplus land cover tiles for EU countries for 2018
Popis výsledku anglicky
OpenStreetMap (OSM) effectively captures landscape boundaries, making it valuable for land cover and land use (LCLU) mapping. However, its crowd-sourced nature introduces inconsistencies, misclassifications, and overlapping features. A global assessment revealed that only 17 countries, primarily in Europe, exceed 60% data completeness, with urban areas generally better represented than rural or natural regions. The resulting dataset in our study represents historical OSM data from 2018 across the European Union and the United Kingdom, translating OSM elements into a standardized nomenclature of 22 LCLU classes. The methodology involves a multi-step process, including the buffering of line features, sequential rasterization at 2 m resolution, and prioritization of LULC classes to preserve small land features. The dataset integrates OSM with the pan-European CLCplus Backbone (Sentinel-2 data, https://land.copernicus.eu/en/products/clc-backbone) in areas lacking OSM coverage. The resulting 30 km x 30 km raster tiles contain a total of 19 land use and land cover classes and are available for all European Union countries for the reference year 2018. A web service is also available, providing merged tiles into a single pan-European layer. The Cloud Optimized GeoTIFF can be accessed using the following address: https://geoforall.fsv.cvut.cz/st_lucas/data/osm_clcplus_2018.tif
Klasifikace
Druh
N<sub>map</sub> - Specializovaná mapa s odborným obsahem
CEP obor
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OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Interní identifikační kód produktu
OSM/CLCplus
Číslo předpisu
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Technické parametry
Zenodo
Ekonomické parametry
Open access
Označení certifikačního orgánu
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Datum certifikace
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Způsoby využití výsledku
C - Výsledek je využíván bez omezení okruhu uživatelů