China Building Rooftop Area: 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
Zeping Liu,Hong Tang,Lin Feng,and Siqing Lyu
Zeping Liu
Key Laboratory of Environmental Change and Natural Disaster of
Ministry of Education, Beijing Normal University, Beijing 100875,
China
Beijing Key Laboratory for Remote Sensing of Environment and Digital
Cities, Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Key Laboratory of Environmental Change and Natural Disaster of
Ministry of Education, Beijing Normal University, Beijing 100875,
China
Beijing Key Laboratory for Remote Sensing of Environment and Digital
Cities, Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
State Key Laboratory of Remote Sensing Science, Faculty of
Geographical Science, Beijing Normal University, Beijing 100875, China
Lin Feng
Beijing Key Laboratory for Remote Sensing of Environment and Digital
Cities, Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Siqing Lyu
Beijing Key Laboratory for Remote Sensing of Environment and Digital
Cities, Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Viewed
Total article views: 9,133 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
6,808
2,175
150
9,133
366
137
187
HTML: 6,808
PDF: 2,175
XML: 150
Total: 9,133
Supplement: 366
BibTeX: 137
EndNote: 187
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
(calculated since 09 Feb 2023)
Total article views: 6,839 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
5,518
1,202
119
6,839
366
118
172
HTML: 5,518
PDF: 1,202
XML: 119
Total: 6,839
Supplement: 366
BibTeX: 118
EndNote: 172
Views and downloads (calculated since 09 Aug 2023)
Cumulative views and downloads
(calculated since 09 Aug 2023)
Total article views: 2,294 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,290
973
31
2,294
19
15
HTML: 1,290
PDF: 973
XML: 31
Total: 2,294
BibTeX: 19
EndNote: 15
Views and downloads (calculated since 09 Feb 2023)
Cumulative views and downloads
(calculated since 09 Feb 2023)
Viewed (geographical distribution)
Total article views: 9,133 (including HTML, PDF, and XML)
Thereof 8,868 with geography defined
and 265 with unknown origin.
Total article views: 6,839 (including HTML, PDF, and XML)
Thereof 6,612 with geography defined
and 227 with unknown origin.
Total article views: 2,294 (including HTML, PDF, and XML)
Thereof 2,256 with geography defined
and 38 with unknown origin.
Large-scale maps of building rooftop area (BRA) are crucial for addressing policy decisions and sustainable development. In this paper, we propose a deep-learning method for high-resolution BRA mapping (2.5 m) from Sentinel-2 imagery (10 m). The resulting China building rooftop area dataset (CBRA) is the first multi-annual (2016–2021) and high-resolution (2.5 m) BRA dataset in China. Cross-comparisons show that the CBRA achieves the best performance in capturing the spatiotemporal information.
Large-scale maps of building rooftop area (BRA) are crucial for addressing policy decisions and...
