Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data
The co-evolution of multi-cities has emerged as the primary form of urbanization in China in recent years. However, the processes, patterns, and coordination are not well characterized and understood, which hinders the understanding of the driving forces, consequences, and management of polycentric...
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MDPI AG
2020-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/18/2905 |
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doaj-7965d215648e4ad9873b6b9d4618569d2020-11-25T02:30:58ZengMDPI AGRemote Sensing2072-42922020-09-01122905290510.3390/rs12182905Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat DataMaochou Liu0Shuguang Liu1Ying Ning2Yu Zhu3Rubén Valbuena4Rui Guo5Yuanyuan Li6Wenxi Tang7Dengkui Mo8Isabel M.D. Rosa9Mykola Kutia10Wenmin Hu11National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaNational Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaNational Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaNational Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaSchool of Natural Sciences, Bangor University, Thoday Building, Bangor LL57 2UW, UKNational Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaNational Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaNational Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Forestry, Central South University of Forestry and Technology, Changsha 410004, ChinaSchool of Natural Sciences, Bangor University, Thoday Building, Bangor LL57 2UW, UKBangor College China, Joint Unit of Bangor University, Bangor, UK and Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Forestry, Central South University of Forestry and Technology, Changsha 410004, ChinaThe co-evolution of multi-cities has emerged as the primary form of urbanization in China in recent years. However, the processes, patterns, and coordination are not well characterized and understood, which hinders the understanding of the driving forces, consequences, and management of polycentric urban development. We used the Continuous Change Detection and Classification (CCDC) algorithm to integrate all available Landsat 5, 7, and 8 images and map annual land use and land cover (LULC) from 2001 to 2017 in the Chang–Zhu–Tan urban agglomeration (CZTUA), a typical urban agglomeration in China. Results showed that the impervious surface in the study area expanded by 371 km<sup>2</sup> with an annual growth rate of 2.25%, primarily at the cost of cropland (169 km<sup>2</sup>) and forest (206 km<sup>2</sup>) during the study period. Urban growth has evolved from infilling being the dominant type in the earlier period to mainly edge-expansion and leapfrogging in the core cities, and from no dominant type to mainly leapfrogging in the satellite cities. The unfolding of the “cool center and hot edge” urban growth pattern in CZTUA, characterized by higher expansion rates in the peripheral than in the core cities, may signify a new form of the co-evolution of multi-cities in the process of urbanization. Detailed urban management and planning policies in CZTUA were analyzed. The co-evolution of multi-cities principles need to be studied in more extensive regions, which could help policymakers to promote sustainable and livable development in the future.https://www.mdpi.com/2072-4292/12/18/2905Landsaturban expansiontime seriesContinuous Change Detection and ClassificationChang–Zhu–Tan urban agglomerationlandscape dynamics |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Maochou Liu Shuguang Liu Ying Ning Yu Zhu Rubén Valbuena Rui Guo Yuanyuan Li Wenxi Tang Dengkui Mo Isabel M.D. Rosa Mykola Kutia Wenmin Hu |
| spellingShingle |
Maochou Liu Shuguang Liu Ying Ning Yu Zhu Rubén Valbuena Rui Guo Yuanyuan Li Wenxi Tang Dengkui Mo Isabel M.D. Rosa Mykola Kutia Wenmin Hu Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data Remote Sensing Landsat urban expansion time series Continuous Change Detection and Classification Chang–Zhu–Tan urban agglomeration landscape dynamics |
| author_facet |
Maochou Liu Shuguang Liu Ying Ning Yu Zhu Rubén Valbuena Rui Guo Yuanyuan Li Wenxi Tang Dengkui Mo Isabel M.D. Rosa Mykola Kutia Wenmin Hu |
| author_sort |
Maochou Liu |
| title |
Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data |
| title_short |
Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data |
| title_full |
Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data |
| title_fullStr |
Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data |
| title_full_unstemmed |
Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data |
| title_sort |
co-evolution of emerging multi-cities: rates, patterns and driving policies revealed by continuous change detection and classification of landsat data |
| publisher |
MDPI AG |
| series |
Remote Sensing |
| issn |
2072-4292 |
| publishDate |
2020-09-01 |
| description |
The co-evolution of multi-cities has emerged as the primary form of urbanization in China in recent years. However, the processes, patterns, and coordination are not well characterized and understood, which hinders the understanding of the driving forces, consequences, and management of polycentric urban development. We used the Continuous Change Detection and Classification (CCDC) algorithm to integrate all available Landsat 5, 7, and 8 images and map annual land use and land cover (LULC) from 2001 to 2017 in the Chang–Zhu–Tan urban agglomeration (CZTUA), a typical urban agglomeration in China. Results showed that the impervious surface in the study area expanded by 371 km<sup>2</sup> with an annual growth rate of 2.25%, primarily at the cost of cropland (169 km<sup>2</sup>) and forest (206 km<sup>2</sup>) during the study period. Urban growth has evolved from infilling being the dominant type in the earlier period to mainly edge-expansion and leapfrogging in the core cities, and from no dominant type to mainly leapfrogging in the satellite cities. The unfolding of the “cool center and hot edge” urban growth pattern in CZTUA, characterized by higher expansion rates in the peripheral than in the core cities, may signify a new form of the co-evolution of multi-cities in the process of urbanization. Detailed urban management and planning policies in CZTUA were analyzed. The co-evolution of multi-cities principles need to be studied in more extensive regions, which could help policymakers to promote sustainable and livable development in the future. |
| topic |
Landsat urban expansion time series Continuous Change Detection and Classification Chang–Zhu–Tan urban agglomeration landscape dynamics |
| url |
https://www.mdpi.com/2072-4292/12/18/2905 |
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