中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Teng, Jiakun1,2
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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
DOI10.1016/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

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。