Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species

doi:10.3390/rs10091468

	Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species
	Wang, Dezhi 1; Wan, Bo 1; Qiu, Penghua 2; Su, Yanjun 3; Guo, Qinghua3,4 ; Wang, Run 1; Sun, Fei 1; Wu, Xincai 1
	2018
发表期刊	REMOTE SENSING
卷号	10 期号:9
摘要	Mapping mangrove extent and species is important for understanding their response to environmental changes and for observing their integrity for providing goods and services. However, accurately mapping mangrove extent and species are ongoing challenges in remote sensing. The newly-launched and freely-available Sentinel-2 (S2) sensor offers a new opportunity for these challenges. This study presents the first study dedicated to the examination of the potential of original bands, spectral indices, and texture information of S2 in mapping mangrove extent and species in the first National Nature Reserve for mangroves in Dongzhaigang, China. To map mangrove extent and species, a three-level hierarchical structure based on the spatial structure of a mangrove ecosystem and geographic object-based image analysis is utilized and modified. During the experiments, to conquer the challenge of optimizing high-dimension and correlated feature space, the recursive feature elimination (RFE) algorithm is introduced. Finally, the selected features from RFE are employed in mangrove species discriminations, based on a random forest algorithm. The results are compared with those of Landsat 8 (L8) and Pleiades-1 (P1) data and show that S2 and L8 could accurately extract mangrove extent, but P1 obviously overestimated it. Regarding mangrove species community levels, the overall classification accuracy of S2 is 70.95%, which is lower than P1 imagery (78.57%) and slightly higher than L8 data (68.57%). Meanwhile, the former difference is statistically significant, and the latter is not. The dominant species is extracted basically in S2 and P1 imagery, but for the occasionally distributed K. candel and the pioneer and fringe mangrove A. marina, S2 performs poorly. Concerning L8, S2, and P1, there are eight (8/126), nine (9/218), and eight (8/73) features, respectively, that are the most important for mangrove species discriminations. The most important feature overall is the red-edge bands, followed by shortwave infrared, near infrared, blue, and other visible bands in turn. This study demonstrates that the S2 sensor can accurately map mangrove extent and basically discriminate mangrove species communities, but for the latter, one should be cautious due to the complexity of mangrove species.
关键词	mangroves species Sentinel-2 Landsat 8 Pleiades-1 random forest
学科领域	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.3390/rs10091468
收录类别	SCI
语种	英语
WOS关键词	OBJECT-BASED CLASSIFICATION ; GROWING STOCK VOLUME ; RANDOM FOREST ; CANOPY COVER ; TIME-SERIES ; SATELLITE ; BIOMASS ; FEATURES ; ALGORITHMS ; IMAGERY
WOS记录号	WOS:000449993800148
出版者	MDPI
文献子类	Article
出版地	BASEL
EISSN	2072-4292
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41361090] ; National Key Research & Development (R&D) Plan of China [2017YFB0503600, 2016YFB0502304]
作者邮箱	wuhan1990hk@126.com ; magicwan1105@163.com ; cphscnu@163.com ; suyanjun1987@gmail.com ; guo.qinghua@gmail.com ; runwang@cug.edu.cn ; sf_rs2007@cug.edu.cn ; wuxincai@mapgis.com
作品OA属性	gold, Green Submitted
引用统计	被引频次：104[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/20365
专题	植被与环境变化国家重点实验室
作者单位	1.China Univ Geosci Wuhan, Fac Informat Engn, Wuhan 430074, Hubei, Peoples R China 2.Natl Engn Res Ctr Geog Informat Syst, Wuhan 430074, Hubei, Peoples R China 3.Hainan Normal Univ, Coll Geog & Environm Sci, Haikou 571158, Hainan, Peoples R China 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang, Dezhi,Wan, Bo,Qiu, Penghua,et al. Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species[J]. REMOTE SENSING,2018,10(9).
APA	Wang, Dezhi.,Wan, Bo.,Qiu, Penghua.,Su, Yanjun.,Guo, Qinghua.,...&Wu, Xincai.(2018).Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species.REMOTE SENSING,10(9).
MLA	Wang, Dezhi,et al."Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species".REMOTE SENSING 10.9(2018).

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