10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations

doi:10.1016/j.isprsjprs.2020.10.001

	10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations
	Zhao, Chuanpeng 1,2; Qin, Cheng-Zhi 1,2,3
刊名	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
	2020-11-01
卷号	169 页码:389-405
关键词	Mangrove map Sentinel River salinity Time series image analysis Google Earth Engine
ISSN号	0924-2716
DOI	10.1016/j.isprsjprs.2020.10.001
通讯作者	Qin, Cheng-Zhi(qincz@lreis.ac.cn)
英文摘要	China has lost 50% of its mangroves since the 1950s, while the remaining mangroves are exhibiting an increase in fragmentation. While a detailed mangrove map of China derived from remote sensing imagery is crucial for protecting mangroves, fragmented mangrove patches are hardly captured by Landsat-derived 30-m-resolution maps. To overcome this limitation, we proposed 10-m-resolution mangrove maps for 2017 using Sentinel SAR and optical time-series imagery, together with terrain data. We first classified coastal land covers based on quantile synthesis; following this, the mangrove category was refined by applying the tidal flat constraint and manual editing. The proposed approach considered factors that limit the accuracy of mangrove maps, including tidal inundation, intertidal terrain, cloudiness, and phenological variations of vegetation. A pixel-based mangrove map (PXL_Map) and an object-based mangrove map (OBJ_Map) were produced using the Google Earth Engine cloud computing platform. PXL_Map achieved an overall accuracy of 95.3 +/- 0.2% based on validation samples, and a 91.6% accuracy based on field sample plots. OBJ_Map had a slightly lower performance than PXL_Map. The maps produced in this study improved the delineation of small mangrove patches along tidal creeks relative to recent Landsat-based maps. The total mangrove area was estimated to be between 21,148 ha (by PXL_Map) and 24,801 ha (by OBJ_Map). Furthermore, the spatial differences among the mangrove maps produced in this study were quantitatively compared with three other existing mangrove maps. The discrepancies among maps could have been due to the size and the location of the mangrove patches. The 10-m-resolution mangrove maps from this study can help manage and protect mangroves in China, especially the small fragmented mangrove patches scattered along the coast.
资助项目	Science and Technology Basic Resources Investigation Program of China[2017FY100706]
WOS关键词	TIME-SERIES ; FOREST ; ECOSYSTEMS ; CLASSIFICATION ; CONSERVATION ; PHENOLOGY ; DYNAMICS ; EXTENT ; DEFORESTATION ; VARIABILITY
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:000584231200030
资助机构	Science and Technology Basic Resources Investigation Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156457]
专题	中国科学院地理科学与资源研究所
通讯作者	Qin, Cheng-Zhi
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Chuanpeng,Qin, Cheng-Zhi. 10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2020,169:389-405.
APA	Zhao, Chuanpeng,&Qin, Cheng-Zhi.(2020).10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,169,389-405.
MLA	Zhao, Chuanpeng,et al."10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 169(2020):389-405.