%0 Dataset
%T CBRA: The first multi-annual (2016-2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with Super-resolution Segmentation from Sentinel-2 imagery
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/adce9598-a882-4160-bf49-ce033765931f
%W NCDC
%R 10.5281/zenodo.7500612
%A Tang Hong
%K Architecture;roof area;CBRA
%X A large and up-to-date map of Building Roof Area (BRA) is crucial for policy-making and sustainable development. In addition, as a fine-grained indicator of human activities, BRA can contribute to urban planning and energy modeling, bringing benefits to human well-being. However, existing large-scale BRA datasets, such as those from Microsoft and Google, do not include China, so China does not have a fully covered BRA map. For this purpose, we have created a multi-year Chinese Building Roof Area Dataset (CBRA) with a resolution of 2.5 meters based on Sentinel-2 images from 2016 to 2021. CBRA is China's first fully covered, multi-year BRA data. CBRA achieved good F1 scores in urban areas, with an F1 score of 62.55% based on 250000 test samples (+10.61% compared to previous BRA data in China), and a recall rate of 78.94% based on 30000 test samples in rural areas.  CBRA is organized in GeoTIFF (. tif) raster file format, with a single band and a GCSWGS_1984 coordinate system. The pixel values are 0 and 255, where 0 represents the background and 255 represents the roof area of the building. In addition, for the convenience of data usage, CBRA is divided into 215 spatial grid blocks, named "CBRA_year-E/W * * N/S * *. tif", where "year" is the sampling year and "E/W * * N/S * *" is the latitude and longitude coordinates of the upper left corner of the block data.