Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96530
Title: | Vectorized rooftop area data for 90 cities in China | Authors: | Zhang, Z Qian, Z Zhong, T Chen, M Zhang, K Yang, Y Zhu, R Zhang, F Zhang, H Zhou, F Yu, J Zhang, B Lü, G Yan, J |
Issue Date: | 2022 | Source: | Scientific data, 2022, v. 9, no. 1, 66 | Abstract: | Reliable information on building rooftops is crucial for utilizing limited urban space effectively. In recent decades, the demand for accurate and up-to-date data on the areas of rooftops on a large-scale is increasing. However, obtaining these data is challenging due to the limited capability of conventional computer vision methods and the high cost of 3D modeling involving aerial photogrammetry. In this study, a geospatial artificial intelligence framework is presented to obtain data for rooftops using high-resolution open-access remote sensing imagery. This framework is used to generate vectorized data for rooftops in 90 cities in China. The data was validated on test samples of 180 km2 across different regions with spatial resolution, overall accuracy, and F1 score of 1 m, 97.95%, and 83.11%, respectively. In addition, the generated rooftop area conforms to the urban morphological characteristics and reflects urbanization level. These results demonstrate that the generated dataset can be used for data support and decision-making that can facilitate sustainable urban development effectively. | Publisher: | Nature Publishing Group | Journal: | Scientific data | EISSN: | 2052-4463 | DOI: | 10.1038/s41597-022-01168-x | Rights: | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. The following publication Zhang, Z., Qian, Z., Zhong, T., Chen, M., Zhang, K., Yang, Y., ... & Yan, J. (2022). Vectorized rooftop area data for 90 cities in China. Scientific Data, 9(1), 66 is available at https://doi.org/10.1038/s41597-022-01168-x. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
s41597-022-01168-x.pdf | 7.1 MB | Adobe PDF | View/Open |
Page views
59
Last Week
5
5
Last month
Citations as of May 5, 2024
Downloads
27
Citations as of May 5, 2024
SCOPUSTM
Citations
49
Citations as of May 3, 2024
WEB OF SCIENCETM
Citations
42
Citations as of May 2, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.