five

Hybrid OSM/CLCplus land cover tiles for EU countries for 2018

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/15039460
下载链接
链接失效反馈
官方服务:
资源简介:
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 × 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 OSM/CLCplus tiles use the following nomenclature: 10 Buildings 11 Roads 12 Construction 13 Dumb 15 Dock 16 Urban green 18 Route 19 Residential 20 Cropland 30 Perennial 31 Greenhouses 40 Woodland 41 Transitional woodland 50 Shrubland 60 Grassland 70 Bare 80 Water 90 Wetland 100 Glacier
创建时间:
2025-04-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作