CLCplus Backbone 2021 (raster 10 m), Europe, 3-yearly - FGI GeoCubes Europe COG in EPSG:3035

CLCplus Backbone 2021 (raster 10 m), Europe, 3-yearly - FGI GeoCubes Europe COG in EPSG:3035 original data source: https://land.copernicus.eu/en/products/clc-backbone (DOI: https://doi.org/10.2909/71fc9d1b-479f-4da1-aa66-662a2fff2cf7).

Provides a pan-European spatially consistent and seamless, detailed land cover inventory for the 2018 reference year, for each pixel showing the dominant land cover among the 11 basic land cover classes in Cloud-Optimized GeoTIFF (COG) file formats stored in Finnish Geospatial Research Institute's (FGI) Geocubes Europe.

GeoCubes Europe builds upon the concept of GeoCubes Finland, which was originally developed as part of the of the Finnish Open Geospatial Information Infrastructure for Research (oGIIR, nowadays Geoportti) initiative. GeoCubes Europe serves as a harmonised, multi-resolution repository of raster-based geospatial data. Its primary goal is to facilitate spatial analysis processes by providing interoperable data sets that have been pre-processed for easy access and integration.

GeoCubes Europe contains a curated selection of geospatial data sets with coverage across Europe. These datasets are transformed into a common two dimensional grid and aligned to a unified set of resolution levels. 

GeoCubes Europe applies the following resolution levels: 10, 20, 50, 100, 200, 500, 1000 and 10000 m. These rounded resolution values, rather than the traditionally used exponents of two in image pyramids, are selected to facilitate integration with external sources (like statistical data sets) and to follow the values commonly used in spatial analysis reporting. For easy transfer and processing of the GeoCubes Europe data sets, the content is subdivided in 1000 km x 1000 km blocks.

A so-called virtual raster mechanism is used to treat these individual files as a single, continuous data set. Data is stored in Cloud-Optimized GeoTIFF (COG) file formats, with each file representing a 1000 km x 1000 km block. The resolution levels are stored as internal GeoTIFF overview layers. The set of blocks is aggregated into a single content representation by using the GDAL's (Geospatial Data Abstraction Library) Virtual format (VRT) mechanism.

Direct link to VRT file: https://aquainfra-fgi.a3s.fi/europe/clcplus_3035/2021/clcplus3035_2021.vrt

CLCplus Backbone 2021（栅格分辨率10米），覆盖欧洲区域，每3年更新一次——隶属于芬兰地理空间研究所（Finnish Geospatial Research Institute, FGI）的GeoCubes Europe数据集，采用EPSG:3035坐标系，存储格式为云优化地理TIFF（Cloud-Optimized GeoTIFF，简称COG）。原始数据源：https://land.copernicus.eu/en/products/clc-backbone（DOI：https://doi.org/10.2909/71fc9d1b-479f-4da1-aa66-662a2fff2cf7）

本数据集为2018基准年提供泛欧洲范围内空间一致、无缝衔接的精细化土地覆盖清单，每个像素均标注11个基础土地覆盖类别中的优势地类，存储于芬兰地理空间研究所的GeoCubes Europe平台，采用云优化地理TIFF（COG）格式。

GeoCubes Europe 承袭自GeoCubes Finland的设计理念，后者最初作为芬兰研究用开放地理空间信息基础设施（Finnish Open Geospatial Information Infrastructure for Research, oGIIR，现更名为Geoportti）计划的一部分开发。GeoCubes Europe 作为一套标准化、多分辨率的栅格地理空间数据仓库，核心目标是通过提供经过预处理、便于访问与集成的互操作数据集，简化空间分析流程。

GeoCubes Europe 收录经过严格甄选的欧洲全域覆盖地理空间数据集，将所有数据统一转换至二维网格，并对齐至统一的分辨率层级。

GeoCubes Europe 采用以下分辨率层级：10、20、50、100、200、500、1000及10000米。相较于传统图像金字塔中常用的2的幂次分辨率，本次选取的整数值分辨率更便于与外部数据源（如统计数据集）对接，同时契合空间分析报告中常用的数值标准。为便于数据集的传输与处理，所有内容被划分为1000 km×1000 km的分块。

本数据集采用所谓的虚拟栅格机制，将单个分块文件整合为一套连续完整的数据集。数据以云优化地理TIFF（COG）格式存储，每个文件对应一个1000 km×1000 km的分块，分辨率层级以GeoTIFF内部概览层的形式存储。通过GDAL（地理空间数据抽象库，Geospatial Data Abstraction Library）的虚拟格式（Virtual Format, VRT）机制，可将所有分块聚合为单一的内容展示单元。

VRT文件直接下载链接：https://aquainfra-fgi.a3s.fi/europe/clcplus_3035/2021/clcplus3035_2021.vrt