Building types map of Germany

This dataset features a map of building types for Germany on a 10m grid based on Sentinel-1A/B and Sentinel-2A/B time series. A random forest classification was used to map the predominant type of buildings within a pixel. We distinguish single-family residential buildings, multi-family residential buildings, commercial and industrial buildings and lightweight structures. Building types were predicted for all pixels where building density &gt; 25 %. Please refer to the publication for details. <strong>Temporal extent</strong> Sentinel-2 time series data are from 2018. Sentinel-1 time series data are from 2017. <strong>Data format</strong> The data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). Metadata are located within the Tiff, partly in the FORCE domain. There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. Building type values are categorical, according to the following scheme: 0 - No building 1 - Commercial and industrial buildings 2 - Single-family residential buildings 3 - Lightweight structures 4 - Multi-family residential buildings <strong>Further information</strong> For further information, please see the publication or contact Franz Schug ([e-mail]).<br> A web-visualization of this dataset is available here. <strong>Publication</strong> Schug, F., Frantz, D., van der Linden, S., &amp; Hostert, P. (2021). Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. PLOS ONE. DOI: 10.1371/journal.pone.0249044 <strong>Acknowledgements</strong> The dataset was generated by FORCE v. 3.1 (paper, code), which is freely available software under the terms of the GNU General Public License v. &gt;= 3. Sentinel imagery were obtained from the European Space Agency and the European Commission. <strong>Funding</strong><br> This dataset was produced with funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).本数据集基于Sentinel-1A/B与Sentinel-2A/B时间序列数据，生成了分辨率为10米网格的德国建筑类型分布图。研究采用随机森林（Random Forest）分类法，对每个像元内的主要建筑类型进行制图。本次分类区分了四类建筑：独栋住宅建筑、多户住宅建筑、商业与工业建筑以及轻型构筑物。建筑密度大于25%的所有像元均已完成建筑类型预测。详细信息请参阅相关学术论文。 **时间范围** Sentinel-2时间序列数据采集于2018年，Sentinel-1时间序列数据采集于2017年。 **数据格式** 数据以30km×30km的瓦片形式存储（详见shapefile矢量文件）。投影坐标系采用EPSG:3035。影像格式为压缩后的GeoTIFF文件（*.tif）。元数据内嵌于TIFF文件内，部分元数据属于FORCE范畴。此外还提供了GDAL虚拟格式（*.vrt）的镶嵌数据集，可在多数地理信息系统中直接打开。 建筑类型字段为分类变量，编码规则如下： 0：无建筑 1：商业与工业建筑 2：独栋住宅建筑 3：轻型构筑物 4：多户住宅建筑 **补充信息** 如需获取更多信息，请参阅相关论文或联系Franz Schug（邮箱：[e-mail]）。本数据集的网页可视化工具可在此处获取。 **学术论文** Schug, F., Frantz, D., van der Linden, S. 与Hostert, P. (2021). 《基于遥感观测数据的德国建筑密度、高度与类型网格化人口制图——采用人口普查分解法与自下而上估算方法》，发表于PLOS ONE。DOI: 10.1371/journal.pone.0249044 **致谢** 本数据集由FORCE v.3.1（包含学术论文与源代码）生成，该软件遵循GNU通用公共许可证v.≥3条款，为免费开源软件。Sentinel影像数据由欧洲空间局与欧盟委员会提供。 **资助信息** 本数据集的制作获得了欧盟委员会地平线2020研究与创新计划下欧洲研究理事会（European Research Council, ERC）的资助（项目名称：MAT_STOCKS，资助协议号：741950）。