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  4. 中科院海岸带环境过程与生态修复重点实验室
Tracking site-scale tidal flat dynamics using time-series satellite data and Google Earth Engine over the past 40 years

文献类型：期刊论文

作者Arif, Maham1,2,3; Xing, Qianguo1,2,3; Li, Jie1,2,3
刊名OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES
出版日期2025-12-01
卷号54期号:4页码:328-352
关键词tidal flat time series satellite imagery pixel-based composite algorithm Google Earth Engine Otsu Algorithm
ISSN号1730-413X
DOI10.26881/oahs-2025.1.28
通讯作者Xing, Qianguo(qgxing@yic.ac.cn)
英文摘要Tidal flats (TFs), the global hotspots of biodiversity and providers of coastal protection, are changing due to land reclamation, industrialization, and climate change. However, conventional mapping methods are often inadequate for site-scale monitoring due to their coarse resolution and computational demands. This research has tried to generate accurate spatial-temporal maps of TFs by using a pixel-based composite method and satellite data for Karachi Port Trust (KPT), Pakistan, and Yangma Island, Yantai, China. High- and low-tide images were generated using the maximum value composite algorithm (MVCA(max)) and the minimum quantile composite algorithm (MQCA(min)). The results show that (i) over 40 years, KPT has an area decrease of 270 ha (16.1% reduction), divided into three phases: minimal reduction (1986-1991), reduction (1991-2003), and expansion (2003-2024), (ii) Yangma Island experienced a more drastic reduction of 682 ha, with reduction rate of 70.16%, and (iii) annual 10-m resolution TF maps from 2017 to 2024 revealed a slight increase in KPT area, while Yangma Island exhibited a decreasing trend. This study provides a baseline for monitoring TF dynamics, offers guidelines for preserving coastal biodiversity, and supports sustainable coastal management to mitigate anthropogenic impacts on these vital ecosystems.
WOS关键词CLASSIFICATION
WOS研究方向Marine & Freshwater Biology ; Oceanography
语种英语
WOS记录号WOS:001673942800009
资助机构National Natural Science Foundation of China ; Shandong Province Innovation Technology Guidance Plan hao ; Seed Project of Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences ; SDGSAT-1 Open Science Program - International Research Center of Big Data for Sustainable Development Goals (CBAS)
源URL[http://ir.yic.ac.cn/handle/133337/42071]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
通讯作者Xing, Qianguo
作者单位1.Shandong Key Lab Coastal Environm Proc & Ecol Secu, Yantai 264003, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714		 Arif, Maham,Xing, Qianguo,Li, Jie. Tracking site-scale tidal flat dynamics using time-series satellite data and Google Earth Engine over the past 40 years[J]. OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES,2025,54(4):328-352.
APA Arif, Maham,Xing, Qianguo,&Li, Jie.(2025).Tracking site-scale tidal flat dynamics using time-series satellite data and Google Earth Engine over the past 40 years.OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES,54(4),328-352.
MLA Arif, Maham,et al."Tracking site-scale tidal flat dynamics using time-series satellite data and Google Earth Engine over the past 40 years".OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES 54.4(2025):328-352.

入库方式： OAI收割

来源：烟台海岸带研究所

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