Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China
The SDGSAT-1 satellite, independently developed and launched by China, features a higher spatial resolution in its glimmer imager (GLI) data than the currently widely used nighttime light (NTL) remote sensing data, making it possible for high-precision extraction of urban built-up areas (UBAs). Howe...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/11059823/ |
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| author | Min Huang Shun Zhong Yong Ge Hui Lin Lishu Chang Daoye Zhu Li Zhang Changjiang Xiao Orhan Altan |
| author_facet | Min Huang Shun Zhong Yong Ge Hui Lin Lishu Chang Daoye Zhu Li Zhang Changjiang Xiao Orhan Altan |
| author_sort | Min Huang |
| collection | DOAJ |
| description | The SDGSAT-1 satellite, independently developed and launched by China, features a higher spatial resolution in its glimmer imager (GLI) data than the currently widely used nighttime light (NTL) remote sensing data, making it possible for high-precision extraction of urban built-up areas (UBAs). However, recent empirical studies have revealed that the higher resolution of the NTL data does not inherently guarantee enhanced accuracy of the UBA extraction, as urban morphology and city scale significantly influence the performance. Therefore, comprehensively investigating the UBA extraction performance of NTL data across cities with different morphologies and scales offers valuable guidance for optimizing urban remote sensing methodologies in diverse city contexts. Across 15 representative cities with various urban characteristics in China, this article conducted a comprehensive evaluation of the UBA extraction performance of SDGSAT-1 GLI data for the first time, with the NPP-VIIRS NTL data for comparison, and discussed how urban morphology and city scale affect the performance in UBA extraction. The results indicated that: 1) In cities with different morphologies, the UBA extraction performance of SDGSAT-1 data follows from high to low: striped cities, clustered cities, and agglomerate cities. In cities with different scales, the UBA extraction performance of SDGSAT-1 data is megacities > super cities > medium cities > small cities > large cities. 2) Compared with NPP-VIIRS data, SDGSAT-1’s performance in UBA extraction is not always superior and varies with the urban morphology and city scale as well as the extraction method, which necessitates context-sensitive selection for NTL data and method in UBA extraction. |
| format | Article |
| id | doaj-art-b34f0977d29b4b3c844b0ede8a34f53e |
| institution | Matheson Library |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-b34f0977d29b4b3c844b0ede8a34f53e2025-07-17T23:00:26ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118171661718010.1109/JSTARS.2025.358444911059823Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in ChinaMin Huang0https://orcid.org/0000-0002-2107-9227Shun Zhong1https://orcid.org/0009-0002-0091-5166Yong Ge2Hui Lin3Lishu Chang4Daoye Zhu5https://orcid.org/0000-0003-4351-2359Li Zhang6https://orcid.org/0009-0003-0682-4027Changjiang Xiao7https://orcid.org/0000-0001-9900-8325Orhan Altan8https://orcid.org/0000-0003-1562-1216School of Geography and Environment, Jiangxi Provincial Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment, Jiangxi Normal University, Nanchang, ChinaSchool of Geography and Environment, Jiangxi Provincial Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment, Jiangxi Normal University, Nanchang, ChinaSchool of Geography and Environment, Jiangxi Provincial Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment, Jiangxi Normal University, Nanchang, ChinaSchool of Geography and Environment, Jiangxi Provincial Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment, Jiangxi Normal University, Nanchang, ChinaSchool of Geography and Environment, Jiangxi Provincial Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment, Jiangxi Normal University, Nanchang, ChinaCollege of Computer and Data Science, Fuzhou University, Fuzhou, ChinaSchool of Geography and Environment, Jiangxi Provincial Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment, Jiangxi Normal University, Nanchang, ChinaCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, ChinaDepartment of Geomatics, Istanbul Technical University, Istanbul, TürkiyeThe SDGSAT-1 satellite, independently developed and launched by China, features a higher spatial resolution in its glimmer imager (GLI) data than the currently widely used nighttime light (NTL) remote sensing data, making it possible for high-precision extraction of urban built-up areas (UBAs). However, recent empirical studies have revealed that the higher resolution of the NTL data does not inherently guarantee enhanced accuracy of the UBA extraction, as urban morphology and city scale significantly influence the performance. Therefore, comprehensively investigating the UBA extraction performance of NTL data across cities with different morphologies and scales offers valuable guidance for optimizing urban remote sensing methodologies in diverse city contexts. Across 15 representative cities with various urban characteristics in China, this article conducted a comprehensive evaluation of the UBA extraction performance of SDGSAT-1 GLI data for the first time, with the NPP-VIIRS NTL data for comparison, and discussed how urban morphology and city scale affect the performance in UBA extraction. The results indicated that: 1) In cities with different morphologies, the UBA extraction performance of SDGSAT-1 data follows from high to low: striped cities, clustered cities, and agglomerate cities. In cities with different scales, the UBA extraction performance of SDGSAT-1 data is megacities > super cities > medium cities > small cities > large cities. 2) Compared with NPP-VIIRS data, SDGSAT-1’s performance in UBA extraction is not always superior and varies with the urban morphology and city scale as well as the extraction method, which necessitates context-sensitive selection for NTL data and method in UBA extraction.https://ieeexplore.ieee.org/document/11059823/City scalenighttime light remote sensingSDGSAT-1urban built-up area extractionurban morphology |
| spellingShingle | Min Huang Shun Zhong Yong Ge Hui Lin Lishu Chang Daoye Zhu Li Zhang Changjiang Xiao Orhan Altan Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing City scale nighttime light remote sensing SDGSAT-1 urban built-up area extraction urban morphology |
| title | Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China |
| title_full | Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China |
| title_fullStr | Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China |
| title_full_unstemmed | Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China |
| title_short | Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China |
| title_sort | evaluating the performance of sdgsat 1 gli data in urban built up area extraction from the perspective of urban morphology and city scale a case study of 15 cities in china |
| topic | City scale nighttime light remote sensing SDGSAT-1 urban built-up area extraction urban morphology |
| url | https://ieeexplore.ieee.org/document/11059823/ |
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