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DOI10.1016/j.rse.2018.11.030
Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine
Wang X.; Xiao X.; Zou Z.; Chen B.; Ma J.; Dong J.; Doughty R.B.; Zhong Q.; Qin Y.; Dai S.; Li X.; Zhao B.; Li B.
发表日期2020
ISSN00344257
卷号238
英文摘要Tidal flats (non-vegetated area), along with coastal vegetation area, constitute the coastal wetlands (intertidal zone) between high and low water lines, and play an important role in wildlife, biodiversity and biogeochemical cycles. However, accurate annual maps of coastal tidal flats over the last few decades are unavailable and their spatio-temporal changes in China are unknown. In this study, we analyzed all the available Landsat TM/ETM+/OLI imagery (~44,528 images) using the Google Earth Engine (GEE) cloud computing platform and a robust decision tree algorithm to generate annual frequency maps of open surface water body and vegetation to produce annual maps of coastal tidal flats in eastern China from 1986 to 2016 at 30-m spatial resolution. The resulting map of coastal tidal flats in 2016 was evaluated using very high-resolution images available in Google Earth. The total area of coastal tidal flats in China in 2016 was about 731,170 ha, mostly distributed in the provinces around Yellow River Delta and Pearl River Delta. The interannual dynamics of coastal tidal flats area in China over the last three decades can be divided into three periods: a stable period during 1986–1992, an increasing period during 1993–2001 and a decreasing period during 2002–2016. The resulting annual coastal tidal flats maps could be used to support sustainable coastal zone management policies that preserve coastal ecosystem services and biodiversity in China. © 2018 Elsevier Inc.
英文关键词China coastal zone; Google Earth Engine; Pixel and frequency-based algorithm; Tidal flats; Time series Landsat images
语种英语
scopus关键词Biodiversity; Biogeochemistry; Coastal zones; Decision trees; Ecosystems; Engines; Image analysis; Regional planning; Surface waters; Tides; Trees (mathematics); Vegetation; Water piping systems; Cloud computing platforms; Coastal ecosystem services; Coastal zone management; Google earths; Landsat images; Spatio-temporal changes; Tidal flat; Very high resolution (VHR) image; Wetlands; annual variation; biodiversity; coastal wetland; coastal zone management; Landsat; satellite imagery; spatial resolution; spatiotemporal analysis; surface water; tidal flat; China; Shandong; Yellow River Delta; Zhujiang Delta
来源期刊Remote Sensing of Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/179489
作者单位Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Fudan University, Shanghai, 200433, China; Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, United States; Rubber Research Institute (RRI), Chinese Academy of Tropical Agricultural Sciences (CATAS)Hainan Province 571737, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
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GB/T 7714
Wang X.,Xiao X.,Zou Z.,等. Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine[J],2020,238.
APA Wang X..,Xiao X..,Zou Z..,Chen B..,Ma J..,...&Li B..(2020).Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine.Remote Sensing of Environment,238.
MLA Wang X.,et al."Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine".Remote Sensing of Environment 238(2020).
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