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Vectorized rooftop area data for 90 cities in China

Zhang, Zhixin (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Qian, Zhen (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China.
Zhong, Teng (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
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Chen, Min (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China.;Nanjing Normal Univ, Sch Math Sci, Jiangsu Prov Key Lab NSLSCS, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Zhang, Kai (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Yang, Yue (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Zhu, Rui (författare)
Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China.,Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
Zhang, Fan (författare)
Senseable City Lab, Massachusetts Institute of Technology, Cambridge, 02139, MA, United States
Zhang, Haoran (författare)
Mälardalens universitet,Framtidens energi,Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba, 277-8568, Japan; LocationMind Inc, 3-5-2 Iwamotocho, Chiyoda-ku, Tokyo, 101-0032, Japan,Univ Tokyo, Ctr Spatial Informat Sci, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778568, Japan.;LocationMind Inc, Chiyoda Ku, 3-5-2 Iwamotocho, Tokyo 1010032, Japan.;Mälardalen Univ, Future Energy Ctr, S-72123 Västerås, Sweden.
Zhou, Fangzhuo (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Yu, Jianing (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Zhang, Bingyue (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Lu, Guonian (författare)
Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.,Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China
Yan, Jinyue, 1959- (författare)
Mälardalens universitet,Framtidens energi,Department of Chemical Engineering, KTH Royal Institute of Technology, Stockholm, 10044, Sweden,Mälardalen Univ, Future Energy Ctr, S-72123 Västerås, Sweden.;KTH Royal Inst Technol, Dept Chem Engn, S-10044 Stockholm, Sweden.
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Nanjing Normal Univ, Minist Educ PRC, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China. Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, 210023, China (creator_code:org_t)
2022-03-02
2022
Engelska.
Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 9:1
Relaterad länk:
https://doi.org/10.1...
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https://www.nature.c...
https://urn.kb.se/re...
https://doi.org/10.1...
https://urn.kb.se/re...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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 km(2) 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.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Energiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Energy Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering (hsv//eng)

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