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
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Total article views: 10,308 (including HTML, PDF, and XML)
Thereof 10,039 with geography defined
and 269 with unknown origin.
Total article views: 7,762 (including HTML, PDF, and XML)
Thereof 7,520 with geography defined
and 242 with unknown origin.
Total article views: 2,546 (including HTML, PDF, and XML)
Thereof 2,519 with geography defined
and 27 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...
