Satellite-Based Monitoring of Coastal Wetlands in Yancheng, Jiangsu Province, China

被引:13
作者
Chen, Chen [1 ]
Feng, Jiajun [1 ]
Wang, Changyou [1 ]
Mao, Longjiang [1 ]
Zhang, Yuanzhi [1 ,2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China
[2] Chinese Univ Hong Kong, Fac Social Sci, Inst Asia Pacific Studies, Ctr Housing Innovat,Shatin, Hong Kong 999077, Peoples R China
关键词
remote sensing; wetland monitoring; Yancheng coast; driving force; Landsat images; LAND-USE; LANDSCAPE; CLASSIFICATION; DISTURBANCE; MANAGEMENT; LOWLANDS; HEMEROBY; CLIMATE;
D O I
10.3390/jmse10060829
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The dynamic process of the wetland can reflect its impact on the environment, and finding a balance point supporting harmonious coexistence between man and nature has become an issue of increasing concern. On the basis of previous studies that have focused on local coastal wetlands, the temporal and spatial changes and driving forces of wetlands in the Yancheng coastal area from 1991 to 2021 were analyzed over a larger area. According to the study findings: (1) The results of the study of the Yancheng coastal wetland with a larger scope differed significantly from findings resulting from a study of coastal wetland only. This difference was mainly reflected in the relatively stable situation of wetland ecology as a whole, while the changes in local surface features were more significant. (2) Natural wetlands were transformed into artificial wetlands and non-wetland types, and artificial wetlands were transformed into non-wetland types; additionally, reverse transformations and internal transformations of surface features also took place. For instance, the saltpan was transformed into mudflats (86.26 km(2)), and some mudflats into herbaceous vegetation (193.47 km(2)). (3) When analyzing the impact intensity of human activities on the Yancheng wetland, it was found that this factor has experienced a process of first rising and then falling. The index was 0.650, 0.653, 0.664, 0.661, and 0.641 in 1991, 2000, 2008, 2016, and 2021, respectively. (4) Lastly, an analysis of factors driving wetland change revealed that human factors were the most critical reasons for wetland landscape change. Our work can play a reference and inspiration role in the monitoring and protection of similar coastal wetlands.
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页数:16
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