Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3547-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-3547-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
09 Aug 2023
Data description paper |
| 09 Aug 2023
| 09 Aug 2023
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
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: 3,903 (including HTML, PDF, and XML)
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- 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 Z. Liu et al. 10.5194/essd-15-3547-2023
13 citations as recorded by crossref.
- Quantifying the impact of urban trees on land surface temperature in global cities T. He et al. 10.1016/j.isprsjprs.2024.03.007
- Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China Z. Lin et al. 10.1038/s41598-024-73487-5
- Dataset of building locations in Poland in the 1970s and 1980s P. Szubert et al. 10.1038/s41597-024-03179-2
- Modeling the Geometry of Tree Trunks Using LiDAR Data F. Tarsha Kurdi et al. 10.3390/f15020368
- A national-scale assessment of land subsidence in China’s major cities Z. Ao et al. 10.1126/science.adl4366
- Exploring the scale effect of urban thermal environment through XGBoost model J. He et al. 10.1016/j.scs.2024.105763
- Carbon reduction benefits of photovoltaic-green roofs and their climate change mitigation potential: A case study of Xiamen city T. Chen et al. 10.1016/j.scs.2024.105760
- SAR-based dynamic information retrieving of the Beijing-Tianjin-Hebei flood-inundation happened in July 2023, North China Z. Jiao et al. 10.1080/19475705.2024.2366361
- Detection of Changes in Buildings in Remote Sensing Images via Self-Supervised Contrastive Pre-Training and Historical Geographic Information System Vector Maps W. Feng et al. 10.3390/rs15245670
- China's first sub-meter building footprints derived by deep learning X. Huang et al. 10.1016/j.rse.2024.114274
- Real-time identification of collapsed buildings triggered by natural disasters using a modified object-detection network with quasi-panchromatic images J. Ge et al. 10.1080/22797254.2024.2318357
- Refining urban morphology: An explainable machine learning method for estimating footprint-level building height Y. Chen et al. 10.1016/j.scs.2024.105635
- Spatiotemporal Analysis of the Coupling Relationship Between Urban Infrastructure and Land Utilization in a Shrinking City: A Case Study of Hegang, Northeast China S. Huang et al. 10.3390/land13111904
2 citations as recorded by crossref.
- Fusing multimodal data of nature-economy-society for large-scale urban building height estimation S. Du et al. 10.1016/j.jag.2024.103809
- 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 Z. Liu et al. 10.5194/essd-15-3547-2023
Latest update: 20 Nov 2024
Short summary
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...
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