This land cover classfication of Germany was created using Sentinel-2 imagery from the years 2015 to 2017 and LUCAS 2015 in-situ reference data (https://ec.europa.eu/eurostat/web/lucas). It contains seven land cover types: (1) artificial land, (2) open soil, (3) high seasonal vegetation, (4) high perennial vegetation, (5) low seasonal vegetation, (6) low perennial vegetation and (7) water with a spatial resolution of 10m x 10m.
Sensor: Sentinel-2 MSI Period: 2015 - 2017 Product Version: 1.0
Image preprocessing: This dataset was created using a median mosaic of all collected Sentinel-2 Scenes up until April 30, 2017 with a cloud cover of less than 60%. From these a total of 226 spectral and textural image features were derived. Additionally imperviousness from buildings, roads and railways were included. A supervised machine learning classifier was trained with in-situ reference points from the 2015 Land Use and Coverage Area Frame Survey (LUCAS).
Digital Object Identifier (DOI): 10.15489/1ccmlap3mn39
Download: HTTP download via EOC Download Service
Attribution: The creation of this dataset was partly funded by the German Federal Environmental Foundation (DBU). Funding for the projects "meinGruen" and "SAUBER" (funding codes 19F2073B and 19F2064B, respectively) were granted by the German Federal Ministry of Transport and Digital Infrastructure (BMVI), and funding for the project "Monitoring des Stadtgrüns (Monitoring of urban green)" was granted by the German Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR). The dataset is produced and distributed by the DLR under the CC-BY-NC 4.0 license. This product contains processed and modified Copernicus Sentinel data (2015-2017).