Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China
文献类型:期刊论文
作者 | Zhao, Chuanpeng1,2; Qin, Cheng-Zhi1,2,3![]() |
刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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出版日期 | 2020 |
卷号 | 159页码:256-270 |
关键词 | Tidal flats Tidal datums Tidal elevations Estuarine salinity SAR data |
ISSN号 | 0924-2716 |
DOI | 10.1016/j.isprsjprs.2019.11.022 |
通讯作者 | Qin, Cheng-Zhi(qincz@lreis.ac.cn) |
英文摘要 | Coastal ecosystems are under increased pressure from climate change and anthropogenic impacts. Tidal flat maps are necessary for managing, protecting, and restoring coastal ecosystems. Most of the existing tidal flat mapping approaches that are dependent on modelled tidal elevations, suffer high uncertainty over offshore, especially over areas where the tidal conditions have been changed by human-made structures and anthropogenic impacts. Meanwhile, these approaches separate the tidal flats in estuaries by a coastal distance rather than actual distance of saltwater intrusion. In this study, we propose a tidal flat mapping approach, using a new method to avoid the dependence on tidal elevations. The proposed approach synthesizes large-area satellite observations over a time period, to acquire the high and low tidal datum, and then classifies land and water under each tidal datum utilizing an adaptive binary classifier. The tidal flats are identified as areas being water during high tides and being land during low tides. Furthermore, the proposed approach uses the distribution of salt vegetation (i.e., mangroves) as a salinity proxy to particularly identify the tidal flats in estuaries. The proposed approach was applied for mapping the tidal flats in southern China (covering over a half of the coastline of China) utilizing Sentinel-1 Synthetic Aperture Radar (SAR) data from July 2016 to July 2018. The results achieved an overall accuracy of 92.4% and an agreement rate of 70.5% with the most recent global tidal flat map. The proposed approach does not depend on the modelled tidal elevations or large sample sets and could be easily applied for mapping tidal flats globally. |
WOS关键词 | DISSOLVED ORGANIC-MATTER ; SEA-LEVEL RISE ; SALINITY ; CLASSIFICATION ; TEMPERATURE ; SENTINEL-1 ; MANAGEMENT ; COASTLINE ; SEDIMENT ; IMPACTS |
资助项目 | Science and Technology Basic Resources Investigation Program of China[2017FY100706] |
WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000508739800019 |
出版者 | ELSEVIER |
资助机构 | Science and Technology Basic Resources Investigation Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/131388] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Qin, Cheng-Zhi |
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.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Chuanpeng,Qin, Cheng-Zhi,Teng, Jiakun. Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2020,159:256-270. |
APA | Zhao, Chuanpeng,Qin, Cheng-Zhi,&Teng, Jiakun.(2020).Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,159,256-270. |
MLA | Zhao, Chuanpeng,et al."Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 159(2020):256-270. |
入库方式: OAI收割
来源:地理科学与资源研究所
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