Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images
文献类型：期刊论文
| 作者 | Ding, Yaxin2; Yang, Xiaomei1,3; Jin, Hailiang2; Wang, Zhihua1,3; Liu, Yueming1,3; Liu, Bin1,3; Zhang, Junyao1,3; Liu, Xiaoliang1,3; Gao, Ku1,3; Meng, Dan1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 13期号:19页码:23 |
| 关键词 | Google Earth Engine dense time-series images edge probability feature spatial-temporal dynamic coastline monitoring Malay Islands reclamation |
| DOI | 10.3390/rs13193842 |
| 通讯作者 | Wang, Zhihua() |
| 英文摘要 | The use of remote sensing to monitor coastlines with wide distributions and dynamic changes is significant for coastal environmental monitoring and resource management. However, most current remote sensing information extraction of coastlines is based on the instantaneous waterline, which is obtained by single-period imagery. The lack of a unified standard is not conducive to the dynamic change monitoring of a changeable coastline. The tidal range observation correction method can be used to correct coastline observation to a unified climax line, but it is difficult to apply on a large scale because of the distribution of observation sites. Therefore, we proposed a coastline extraction method based on the remote sensing big data platform Google Earth Engine and dense time-series remote sensing images. Through the instantaneous coastline probability calculation system, the coastline information could be extracted without the tidal range observation data to achieve a unified tide level standard. We took the Malay Islands as the experimental area and analyzed the consistency between the extraction results and the existing high-precision coastline thematic products of the same period to achieve authenticity verification. Our results showed that the coastline data deviated 10 m in proportion to a reach of 40% and deviated 50 m within a reach of 89%. The overall accuracy was kept within 100 m. In addition, we extracted 96 additional islands that have not been included in public data. The obtained multi-phase coastlines showed the spatial distribution of the changing hot regions of the Malay Islands' coastline, which greatly supported our analysis of the reasons for the expansion and retreat of the coastline in this region. These research results showed that the big data platform and intensive time-series method have considerable potential in large-scale monitoring of coastline dynamic change and island reef change monitoring. |
| WOS关键词 | SEA-LEVEL RISE ; AUTOMATED EXTRACTION ; SHORELINE POSITION ; TIDE-GAUGE ; RECLAMATION ; DELINEATION |
| 资助项目 | CAS Earth Big Data Science Project of China[XDA19060303] ; National Science Foundation of China[41671436] ; National Science Foundation of China[41901354] ; National Science Foundation of China[41890854] ; Innovation Project of Laboratory of Resources and Environmental Information System[O88RAA01YA] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000726827900001 |
| 资助机构 | CAS Earth Big Data Science Project of China ; National Science Foundation of China ; Innovation Project of Laboratory of Resources and Environmental Information System |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168248]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Zhihua |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ding, Yaxin,Yang, Xiaomei,Jin, Hailiang,et al. Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images[J]. REMOTE SENSING,2021,13(19):23. |
| APA | Ding, Yaxin.,Yang, Xiaomei.,Jin, Hailiang.,Wang, Zhihua.,Liu, Yueming.,...&Meng, Dan.(2021).Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images.REMOTE SENSING,13(19),23. |
| MLA | Ding, Yaxin,et al."Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images".REMOTE SENSING 13.19(2021):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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