Spatiotemporal Evolution and Risk Analysis of Land Use in the Coastal Zone of the Yangtze River Delta Region of China
文献类型：期刊论文
| 作者 | Yin, Lingzhi; Wang, Yafei1,3; Sun, Chenglai2; Ye, Yuxuan4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-04-25 |
| 卷号 | 15期号:9页码:2261 |
| 关键词 | Yangtze River Delta coastal zone land use time series clustering cropland loss ecological degradation |
| DOI | 10.3390/rs15092261 |
| 文献子类 | Article |
| 英文摘要 | The extensive accumulation of big data, along with the development of a high-performance platform, bridge the gap between the previous inability to provide long-term time series and broad-scale coastal zone monitoring and risk warnings with remote sensing techniques. Based on 20 years of Landsat images from the Google Earth Engine platform, the time series land cover in the coastal zone of the Yangtze River Delta in China was classified. Then, a spatiotemporal clustering method based on grid segmentation was proposed to analyze the spatiotemporal evolution details of artificial surface expansion and the risks of cropland loss and ecological degradation caused by this. The results showed that significant changes have taken place in the quantitative structure and spatial morphology of coastal land use in the past 20 years. The artificial surface maintained a growth trend, increasing by 229%, while cropland decreased by 19%. Natural land showed a fluctuation pattern of up -> down -> up. The spatiotemporal details of land use obtained through 1km grid segmentation and clustering analysis were more significant. The artificial surface mainly underwent a progressive spatial expansion along the central urban area and important transportation axes (types III and IV), with the most dramatic changes occurring from 2010 to 2013. Type III cropland loss was the most significant, falling from 75.02% in 2000 to 38.23% in 2020. At the same time, the change in type III water body corresponds to the newly increased area of reclamation, which has decreased by 17% in the past 20 years, indicating that the degradation of coastal natural wetlands was significant. This paper provided a comprehensive diagnosis of coastal land use change, which could help policy makers and implementers to propose more targeted and differentiated coastal development and protection policies. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | ECOSYSTEMS ; IMPACTS |
| 语种 | 英语 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193453]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Zhejiang Sci Tech Univ, Sch Comp Sci & Technol, Sch Artificial Intelligence, Hangzhou 310018, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 3.MNR, Key Lab Ocean Space Resource Management Technol, Hangzhou 310007, Peoples R China 4.Jiangsu Ocean Univ, Sch Marine Technol & Geomatics, Lianyungang 222005, Peoples R China 5.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Lingzhi,Wang, Yafei,Sun, Chenglai,et al. Spatiotemporal Evolution and Risk Analysis of Land Use in the Coastal Zone of the Yangtze River Delta Region of China[J]. REMOTE SENSING,2023,15(9):2261. |
| APA | Yin, Lingzhi,Wang, Yafei,Sun, Chenglai,&Ye, Yuxuan.(2023).Spatiotemporal Evolution and Risk Analysis of Land Use in the Coastal Zone of the Yangtze River Delta Region of China.REMOTE SENSING,15(9),2261. |
| MLA | Yin, Lingzhi,et al."Spatiotemporal Evolution and Risk Analysis of Land Use in the Coastal Zone of the Yangtze River Delta Region of China".REMOTE SENSING 15.9(2023):2261. |
入库方式： OAI收割
来源：地理科学与资源研究所
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