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Tracking changes in coastal land cover in the Yellow Sea, East Asia, using Sentinel-1 and Sentinel-2 time-series images and Google Earth Engine

文献类型： 外文期刊

作者： Liu, Yongchao 1 ; Xiao, Xiangming 2 ; Li, Jialin 1 ; Wang, Xinxin 3 ; Chen, Bangqian 5 ; Sun, Chao 1 ; Wang, Jie 6 ; Tian, Peng 1 ; Zhang, Haitao 1 ;

作者机构： 1.Ningbo Univ, Ningbo Univ Collaborat Innovat Ctr Land & Marine S, Donghai Acad, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China

2.Univ Oklahoma, Ctr Earth Observat & Modeling, Dept Microbiol & Plant Biol, Norman, OK 73019 USA

3.Fudan Univ, Inst Biodivers Sci, Key Lab Biodivers Sci & Ecol Engn, Natl Observat & Res Stn Wetland Ecosyst Yangtze Es, Shanghai 200438, Peoples R China

4.Fudan Univ, Inst Eco Chongming, Sch Life Sci, Shanghai 200438, Peoples R China

5.Chinese Acad Trop Agr Sci, Rubber Res Inst, Hainan 571737, Peoples R China

6.China Agr Univ, Coll Grassland Sci & Technol, Beijing 100094, Peoples R China

7.Univ Oklahoma, Ctr Earth Observat & Modeling, Dept Microbiol & Plant Biol, 101 David Blvd, Norman, OK 73019 USA

8.Ningbo Univ, Dept Geog & Spatial Informat Tech, 818 Fenghua Ave, Ningbo 315211, Zhejiang, Peoples R China

关键词： Coastal land cover; Rule-based Time Series Classification algorithm; Sentinel-1; 2 images; GEE; Yellow Sea

期刊名称：ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING （ 影响因子：12.7； 五年影响因子：12.4 ）

ISSN： 0924-2716

年卷期： 2023 年 196 卷

页码：

收录情况： SCI

摘要： Coastal zones are essential ecosystems due to their provision of invaluable ecosystem services. However, the geomorphologic characteristics of coastal zones are becoming more complex and changeable due to global warming, sea-level rise (SLR), and the intensification of anthropogenic activities. Therefore, accurate and timely knowledge of coastal land cover types (including tidal flats, coastal vegetation, and year-long water cover) is needed for coastal research and sustainable management. To date, land cover products for coastal areas are mainly derived from moderate resolution imaging spectroradiometer images, but few studies have used Sentinel -1 synthetic aperture radar (S1) and Sentinel-2 Multispectral Instrument (S2) images, which can provide more detailed maps. We developed a Rule-based Time Series Classification (RTSC) approach to map coastal land cover types at a 10 m resolution, combining S1/S2 time-series images (2015-2019) and Google Earth Engine (GEE). These products were developed for the coastal zone of the Yellow Sea (YS), East Asia, which is an essential ecosystem protecting a coastal population of 60 million people from storms and SLR effects. Accuracy assessment showed that the annual maps of coastal land cover had high overall accuracy. The coastal land cover types for the YS in 2019 comprised 3593.42 km2 of tidal flats, 28,506.98 km2 of coastal vegetation, and 5436.92 km2 of coastal year-long water. The interannual dynamics of the coastal land cover area in the YS during 2015-2019 were smaller. This study provides a promising method that combines S1/2 time series, a RTSC approach, and GEE to map coastal land cover areas at large scales. The 10 m resolution maps generated in this study are the most current dataset of coastal land cover types for the YS, and they potentially provide a basis for the sus-tainable management and conservation of this important coastal zone.

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