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Spatio-temporal changes in China's mainland shorelines over 30 years using Landsat time series data (1990-2019)

文献类型：期刊论文

作者Yang, Gang2,3; Huang, Ke4; Zhu, Lin2; Sun, Weiwei2; Chen, Chao1; Meng, Xiangchao4; Wang, Lihua2; Ge, Yong3
刊名EARTH SYSTEM SCIENCE DATA
出版日期2024-11-20
卷号16期号:11页码:5311-5331
ISSN号1866-3508
DOI10.5194/essd-16-5311-2024
产权排序2
英文摘要Continuous monitoring of shoreline dynamics is essential to understanding the drivers of shoreline changes and evolution. A long-term shoreline dataset can describe the dynamic changes in the spatio-temporal dimension and provide information on the influence of anthropogenic activities and natural factors on coastal areas. This study, conducted on the Google Earth Engine (GEE) platform, analyzed the spatio-temporal evolution characteristics of China's shorelines, including those of Hainan and Taiwan, from 1990 to 2019 using a long time series of Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) images. First, we constructed a time series of the modified normalized difference water index (MNDWI) with high-quality reconstruction by the harmonic analysis of time series (HANTS) algorithm. Second, the Otsu algorithm was used to separate the land and water of coastal areas based on MNDWI value at high-tide levels. Finally, a 30-year shoreline dataset was generated and a shoreline change analysis was conducted to characterize length change, area change, and rate of change. We concluded the following: (1) China's shoreline has shown an increasing trend in the past 30 years, with varying growth patterns across regions; the total shoreline length increased from 24 905.55 km in 1990 to 25 391.34 km in 2019, with a total increase greater than 485.78 km, a rate of increase of 1.95 %, and an average annual increasing rate of 0.07 %. (2) The most visible expansion has taken place in Tianjin, Hangzhou Bay, and Zhuhai for the three economically developed regions of the Bohai Bay-Yellow River estuary zone (BHB-YREZ), the Yangtze River estuary-Hangzhou Bay zone (YRE-HZBZ), and the Pearl River estuary zone (PREZ), respectively. (3) The statistics of shoreline change rate for the three economically developed regions show that the average end point rates (EPRs) were 43.59, 39.10, and 13.42 m yr(-1), and the average linear regression rates (LRRs) were 57.40, 43.85, and 10.11 m yr(-1), respectively. This study presents an innovative and up-to-date dataset and comprehensive information on the status of China's shoreline from 1990 to 2019, contributing to related research and policy implementation, especially in support of sustainable development (https://doi.org/10.57760/sciencedb.16228, Yang et al., 2024).
WOS关键词COASTAL RECLAMATION ; SURFACE-WATER ; COASTLINE ; CLASSIFICATION ; LONG ; EXTRACTION ; SIMILARITY ; EVOLUTION ; TRACKING ; WETLANDS
资助项目National Natural Science Foundation of China
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:001360204000001
出版者COPERNICUS GESELLSCHAFT MBH
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/210652]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Sun, Weiwei
作者单位1.Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Peoples R China
2.Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Gang,Huang, Ke,Zhu, Lin,et al. Spatio-temporal changes in China's mainland shorelines over 30 years using Landsat time series data (1990-2019)[J]. EARTH SYSTEM SCIENCE DATA,2024,16(11):5311-5331.
APA Yang, Gang.,Huang, Ke.,Zhu, Lin.,Sun, Weiwei.,Chen, Chao.,...&Ge, Yong.(2024).Spatio-temporal changes in China's mainland shorelines over 30 years using Landsat time series data (1990-2019).EARTH SYSTEM SCIENCE DATA,16(11),5311-5331.
MLA Yang, Gang,et al."Spatio-temporal changes in China's mainland shorelines over 30 years using Landsat time series data (1990-2019)".EARTH SYSTEM SCIENCE DATA 16.11(2024):5311-5331.

入库方式： OAI收割

来源：地理科学与资源研究所

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