Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine

doi:10.1016/j.isprsjprs.2020.03.014

	Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
	Wang, Xinxin 1,2; Xiao, Xiangming 2; Zou, Zhenhua 3; Hou, Luyao 4; Qin, Yuanwei 2; Dong, Jinwei 5; Doughty, Russell B.2; Chen, Bangqian 6; Zhang, Xi 1; Cheng, Ying 7
刊名	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
	2020-05-01
卷号	163 页码:312-326
关键词	Coastal wetlands Tidal flats Coastal vegetation Time series Landsat images Pixel- and phenology-based algorithm Google Earth Engine China
ISSN号	0924-2716
DOI	10.1016/j.isprsjprs.2020.03.014
通讯作者	Xiao, Xiangming(xiangming.xiao@ou.edu) ; Li, Bo(bool@fudan.edu.cn)
英文摘要	Coastal wetlands, composed of coastal vegetation and non-vegetated tidal flats, play critical roles in biodiversity conservation, food production, and the global economy. Coastal wetlands in China are changing quickly due to land reclamation, aquaculture, industrialization, and urbanization. However, accurate and updated maps of coastal wetlands (including vegetation and tidal flats) in China are unavailable, and the detailed spatial distribution of coastal wetlands is unknown. Here, we developed a new pixel- and phenology-based algorithm to identify and map coastal wetlands in China for 2018 using time series Landsat imagery (2798 ETM + /OLI images) and the Google Earth Engine (GEE). The resultant map had a very high overall accuracy (98%). There were 7474.6 km(2) of coastal wetlands in China in 2018, which included 5379.8 km(2) of tidal flats, 1856.4 km(2) of deciduous wetlands, and 238.3 km(2) of evergreen wetlands. Jiangsu Province had the largest area of coastal wetlands in China, followed by Shandong, Fujian, and Zhejiang Provinces. Our study demonstrates the high potential of time series Landsat images, pixel- and phenology-based algorithm, and GEE for mapping coastal wetlands at large scales. The resultant coastal wetland maps at 30-m spatial resolution serve as the most current dataset for sustainable management, ecological assessments, and conservation of coastal wetlands in China.
资助项目	U.S. National Institutes of Health[1R01AI101028-02A1] ; U.S. National Science Foundation[1911955] ; National Natural Science Foundation of China[41601181] ; National Natural Science Foundation of China[41630528] ; China Scholarship Council[201906100124]
WOS关键词	SEA-LEVEL RISE ; UNMANNED AERIAL SYSTEMS ; DIFFERENCE WATER INDEX ; TIDAL FLATS ; SURFACE-WATER ; CLOUD SHADOW ; YELLOW SEA ; COVER ; MANGROVE ; MODIS
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000527712500020
资助机构	U.S. National Institutes of Health ; U.S. National Science Foundation ; National Natural Science Foundation of China ; China Scholarship Council
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/159820]
专题	中国科学院地理科学与资源研究所
通讯作者	Xiao, Xiangming; Li, Bo
作者单位	1.Fudan Univ, Key Lab Biodivers Sci & Ecol Engn, Coastal Ecosyst Res Stn Yangtze River Estuary, Minist Educ,Inst Biodivers Sci,Sch Life Sci, Shanghai 200438, Peoples R China 2.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 3.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 4.Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 6.CATAS, RRI, Changsha 571737, Hunan, Peoples R China 7.Fujian Agr & Forestry Univ, Forest Coll, Fuzhou 350002, Fujian, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xinxin,Xiao, Xiangming,Zou, Zhenhua,et al. Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2020,163:312-326.
APA	Wang, Xinxin.,Xiao, Xiangming.,Zou, Zhenhua.,Hou, Luyao.,Qin, Yuanwei.,...&Li, Bo.(2020).Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,163,312-326.
MLA	Wang, Xinxin,et al."Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 163(2020):312-326.