Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case Study
Accurately extracting long-term urban and rural settlement (URS) information is crucial for studying urbanization processes and their impacts on the ecological environment. However, existing remote sensing extraction methods often rely on independent classification strategies for each period, leadin...
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/3/401 |
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| author | Xiaopeng Li Guangsheng Zhou Li Zhou Xiaomin Lv Xiaohui He Zhihui Tian |
| author_facet | Xiaopeng Li Guangsheng Zhou Li Zhou Xiaomin Lv Xiaohui He Zhihui Tian |
| author_sort | Xiaopeng Li |
| collection | DOAJ |
| description | Accurately extracting long-term urban and rural settlement (URS) information is crucial for studying urbanization processes and their impacts on the ecological environment. However, existing remote sensing extraction methods often rely on independent classification strategies for each period, leading to error accumulation and increased uncertainty in long-term sequence extraction. To address this, this study proposed a data/model-constrained dynamic extraction method for URS information and validated it using the Qinghai–Tibetan Plateau at five-year intervals from 1985 to 2020. The area of URS extracted by this method had a matching degree of 97.79% with the reference, with an average overall accuracy of 93.25% and a kappa of 0.89 for the 1985–2020 confusion matrix sample. The urban and rural settlement boundary (URSB) extracted by this method were more accurate than the Global Urban Boundary (GUB) dataset, particularly in spatial completeness and boundary detail. The results provide technical support for uncovering urban development patterns and their environmental impacts. |
| format | Article |
| id | doaj-art-0958f7356eee409cbd63aca1dfaa3b9a |
| institution | DOAJ |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-0958f7356eee409cbd63aca1dfaa3b9a2025-08-20T02:48:07ZengMDPI AGRemote Sensing2072-42922025-01-0117340110.3390/rs17030401Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case StudyXiaopeng Li0Guangsheng Zhou1Li Zhou2Xiaomin Lv3Xiaohui He4Zhihui Tian5State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaThe School of Geo-Science & Technology, Zhengzhou University, Zhengzhou 450001, ChinaThe School of Geo-Science & Technology, Zhengzhou University, Zhengzhou 450001, ChinaAccurately extracting long-term urban and rural settlement (URS) information is crucial for studying urbanization processes and their impacts on the ecological environment. However, existing remote sensing extraction methods often rely on independent classification strategies for each period, leading to error accumulation and increased uncertainty in long-term sequence extraction. To address this, this study proposed a data/model-constrained dynamic extraction method for URS information and validated it using the Qinghai–Tibetan Plateau at five-year intervals from 1985 to 2020. The area of URS extracted by this method had a matching degree of 97.79% with the reference, with an average overall accuracy of 93.25% and a kappa of 0.89 for the 1985–2020 confusion matrix sample. The urban and rural settlement boundary (URSB) extracted by this method were more accurate than the Global Urban Boundary (GUB) dataset, particularly in spatial completeness and boundary detail. The results provide technical support for uncovering urban development patterns and their environmental impacts.https://www.mdpi.com/2072-4292/17/3/401urban and rural settlementsboundarymulti-source data/model constraint methodlong time series extractionQinghai–Tibet Plateau |
| spellingShingle | Xiaopeng Li Guangsheng Zhou Li Zhou Xiaomin Lv Xiaohui He Zhihui Tian Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case Study Remote Sensing urban and rural settlements boundary multi-source data/model constraint method long time series extraction Qinghai–Tibet Plateau |
| title | Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case Study |
| title_full | Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case Study |
| title_fullStr | Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case Study |
| title_full_unstemmed | Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case Study |
| title_short | Multi-Source and Multitemporal Urban and Rural Settlement Mapping Under Spatial Constraint: Qinghai–Tibetan Plateau Case Study |
| title_sort | multi source and multitemporal urban and rural settlement mapping under spatial constraint qinghai tibetan plateau case study |
| topic | urban and rural settlements boundary multi-source data/model constraint method long time series extraction Qinghai–Tibet Plateau |
| url | https://www.mdpi.com/2072-4292/17/3/401 |
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