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

被引:33
作者
Liu, Yongchao [1 ,2 ]
Xiao, Xiangming [2 ,7 ]
Li, Jialin [1 ,8 ]
Wang, Xinxin [3 ,4 ]
Chen, Bangqian [5 ]
Sun, Chao [1 ]
Wang, Jie [6 ]
Tian, Peng [1 ]
Zhang, Haitao [1 ]
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
基金
中国国家自然科学基金; 美国国家科学基金会; 中国博士后科学基金;
关键词
Coastal land cover; Rule-based Time Series Classification algorithm; Sentinel-1; 2; images; GEE; Yellow Sea; SURFACE-WATER; CHINA; EXTRACTION; WETLANDS; TOPOGRAPHY; ECOSYSTEM; FORESTS; AREA;
D O I
10.1016/j.isprsjprs.2022.12.029
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
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.
引用
收藏
页码:429 / 444
页数:16
相关论文
共 72 条
[21]   Overview of the radiometric and biophysical performance of the MODIS vegetation indices [J].
Huete, A ;
Didan, K ;
Miura, T ;
Rodriguez, EP ;
Gao, X ;
Ferreira, LG .
REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) :195-213
[22]   Coastal sea level rise with warming above 2 °C [J].
Jevrejeva, Svetlana ;
Jackson, Luke P. ;
Riva, Riccardo E. M. ;
Grinsted, Aslak ;
Moore, John C. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (47) :13342-13347
[23]   Rapid, robust, and automated mapping of tidal flats in China using time series Sentinel-2 images and Google Earth Engine [J].
Jia, Mingming ;
Wang, Zongming ;
Mao, Dehua ;
Ren, Chunying ;
Wang, Chao ;
Wang, Yeqiao .
REMOTE SENSING OF ENVIRONMENT, 2021, 255
[24]   Tidal wetland stability in the face of human impacts and sea-level rise [J].
Kirwan, Matthew L. ;
Megonigal, J. Patrick .
NATURE, 2013, 504 (7478) :53-60
[25]   The Korean tidal flat of the Yellow Sea: Physical setting, ecosystem and management [J].
Koh, Chul-Hwan ;
Khim, Jong Seong .
OCEAN & COASTAL MANAGEMENT, 2014, 102 :398-414
[26]  
Kuenzer C, 2015, REMOTE SENS DIGIT IM, V22, P1, DOI 10.1007/978-3-319-15967-6_1
[27]   Trajectory of coastal wetland vegetation in Xiangshan Bay, China, from image time series [J].
Liu, Yongchao ;
Liu, Yongxue ;
Li, Jialin ;
Sun, Chao ;
Xu, Wenxuan ;
Zhao, Bingxue .
MARINE POLLUTION BULLETIN, 2020, 160
[28]   Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China [J].
Liu, Yongchao ;
Liu, Yongxue ;
Li, Jialin ;
Lu, Wanyun ;
Wei, Xianglin ;
Sun, Chao .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (08)
[29]   Automated extraction of tidal creeks from airborne laser altimetry data [J].
Liu, Yongxue ;
Zhou, Minxi ;
Zhao, Saishuai ;
Zhan, Wenfeng ;
Yang, Kang ;
Li, Manchun .
JOURNAL OF HYDROLOGY, 2015, 527 :1006-1020
[30]   Tracking three decades of land use and land cover transformation trajectories in China's large river deltas [J].
Ma, Tiantian ;
Li, Xiaowen ;
Bai, Junhong ;
Cui, Baoshan .
LAND DEGRADATION & DEVELOPMENT, 2019, 30 (07) :799-810