Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan City
As the second batch of international wetland cities, Wuhan and Nanchang, both provincial capital cities in China, have abundant wetland resources. An important sign of achievement of protecting the urban wetland areas is the international wetland city designation. Understanding the growth and change...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10209184/ |
| _version_ | 1797663937312849920 |
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| author | Geng Zhipeng Weiguo Jiang Kaifeng Peng Yawen Deng Xiaoya Wang |
| author_facet | Geng Zhipeng Weiguo Jiang Kaifeng Peng Yawen Deng Xiaoya Wang |
| author_sort | Geng Zhipeng |
| collection | DOAJ |
| description | As the second batch of international wetland cities, Wuhan and Nanchang, both provincial capital cities in China, have abundant wetland resources. An important sign of achievement of protecting the urban wetland areas is the international wetland city designation. Understanding the growth and changes of wetlands in international wetland cities is necessary for wetland protection and management. Thus, it is crucial to conduct proper wetland mapping in these international wetland cities. By studying wetland cities, sustainable planning can be provided to promote the coordinated development of wetlands and cities. In this research, Google Earth Engine and random forest machine learning were used. According to the “Data-Information-Knowledge-Wisdom” research framework, we carried out mapping of diverse wetlands in Wuhan and Nanchang with a resolution of 10 m in 2015 and 2020. Then, using the findings of wetland mapping, we examined changes in the wetland landscapes of the two cities. Finally, this study examined changes in international wetland city indicators over this time frame. The research results are as follows. 1) Our wetland mapping results in 2015 and 2020 achieved good accuracy, with an overall accuracy of over 0.90 and a kappa coefficient of over 0.85. 2) The total wetland area in both cities increased. Nanchang grew by 91.11 km<sup>2</sup>, whereas Wuhan grew by 290.68 km<sup>2</sup>. Most restored wetland areas were far from urban construction areas. In the two cities, the fragmentation of wetlands decreased, the diversity of wetlands increased, and the growth rate of wetlands was high. 3) Wetland rates rose from 17.79% to 19.07% in Nanchang and from 19.74% to 23.12% in Wuhan, according to mapping results between 2015 and 2020. The wetland protection rate in Nanchang remained unchanged, but the wetland protection rate in Wuhan decreased. Wuhan needs to strengthen the protection of increased wetlands. In addition, the study found that most of the increased areas of wetlands were previously cultivated land. The international wetland mapping framework of this study can be easily implemented in other regions of the world. |
| first_indexed | 2024-03-11T19:22:02Z |
| format | Article |
| id | doaj.art-51616be1ba7c4ae993489e6aec88da84 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-11T19:22:02Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-51616be1ba7c4ae993489e6aec88da842023-10-06T23:00:17ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01168858887010.1109/JSTARS.2023.330203110209184Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan CityGeng Zhipeng0https://orcid.org/0009-0000-7035-8305Weiguo Jiang1https://orcid.org/0000-0002-1352-1046Kaifeng Peng2https://orcid.org/0000-0001-7319-9346Yawen Deng3https://orcid.org/0000-0002-0734-037XXiaoya Wang4https://orcid.org/0000-0003-0519-8661Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaBeijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaSchool of Geography and Environment, Tianjin Normal University, Tianjin, ChinaBeijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaBeijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaAs the second batch of international wetland cities, Wuhan and Nanchang, both provincial capital cities in China, have abundant wetland resources. An important sign of achievement of protecting the urban wetland areas is the international wetland city designation. Understanding the growth and changes of wetlands in international wetland cities is necessary for wetland protection and management. Thus, it is crucial to conduct proper wetland mapping in these international wetland cities. By studying wetland cities, sustainable planning can be provided to promote the coordinated development of wetlands and cities. In this research, Google Earth Engine and random forest machine learning were used. According to the “Data-Information-Knowledge-Wisdom” research framework, we carried out mapping of diverse wetlands in Wuhan and Nanchang with a resolution of 10 m in 2015 and 2020. Then, using the findings of wetland mapping, we examined changes in the wetland landscapes of the two cities. Finally, this study examined changes in international wetland city indicators over this time frame. The research results are as follows. 1) Our wetland mapping results in 2015 and 2020 achieved good accuracy, with an overall accuracy of over 0.90 and a kappa coefficient of over 0.85. 2) The total wetland area in both cities increased. Nanchang grew by 91.11 km<sup>2</sup>, whereas Wuhan grew by 290.68 km<sup>2</sup>. Most restored wetland areas were far from urban construction areas. In the two cities, the fragmentation of wetlands decreased, the diversity of wetlands increased, and the growth rate of wetlands was high. 3) Wetland rates rose from 17.79% to 19.07% in Nanchang and from 19.74% to 23.12% in Wuhan, according to mapping results between 2015 and 2020. The wetland protection rate in Nanchang remained unchanged, but the wetland protection rate in Wuhan decreased. Wuhan needs to strengthen the protection of increased wetlands. In addition, the study found that most of the increased areas of wetlands were previously cultivated land. The international wetland mapping framework of this study can be easily implemented in other regions of the world.https://ieeexplore.ieee.org/document/10209184/Data-information-knowledge-wisdom (DIKW)international wetland citywetland landscapewetland mappingwetland rate (WR) |
| spellingShingle | Geng Zhipeng Weiguo Jiang Kaifeng Peng Yawen Deng Xiaoya Wang Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan City IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Data-information-knowledge-wisdom (DIKW) international wetland city wetland landscape wetland mapping wetland rate (WR) |
| title | Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan City |
| title_full | Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan City |
| title_fullStr | Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan City |
| title_full_unstemmed | Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan City |
| title_short | Wetland Mapping and Landscape Analysis for Supporting International Wetland Cities: Case Studies in Nanchang City and Wuhan City |
| title_sort | wetland mapping and landscape analysis for supporting international wetland cities case studies in nanchang city and wuhan city |
| topic | Data-information-knowledge-wisdom (DIKW) international wetland city wetland landscape wetland mapping wetland rate (WR) |
| url | https://ieeexplore.ieee.org/document/10209184/ |
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