A global corrected SRTM DEM product for vegetated areas

doi:10.1080/2150704X.2018.1425560

	A global corrected SRTM DEM product for vegetated areas
	Zhao, Xiaoqian 1; Su, Yanjun 2; Hu, Tianyu ; Chen, Linhai ; Gao, Shang 1; Wang, Rui 1; Jin, Shichao 1; Guo, Qinghua2
	2018
发表期刊	REMOTE SENSING LETTERS
ISSN	2150-704X
卷号	9 期号:4 页码:393-402
摘要	It has been found that the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) is systematically higher than the actual land surface in vegetated areas. This study developed a new globally corrected SRTM DEM through reducing its systematic bias in vegetated areas. Over 150, 000km(2) airborne light detection and ranging (LiDAR) data along with spaceborne LiDAR, global canopy height data, global canopy cover data and global land cover data were collected to correct the SRTM DEM. A linear regression based method was used to estimate the original SRTM DEM error and therefore correct the SRTM DEM data. The results show that the original SRTM DEM data is around 6m higher than the actual land surfaces on average across all vegetation types. Our corrected SRTM DEM data can significantly reduce the significant bias to near zero, and can also reduce the root-mean-square error by 1m.
学科领域	Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.1080/2150704X.2018.1425560
收录类别	SCI
语种	英语
WOS关键词	DIGITAL ELEVATION MODELS ; RADAR TOPOGRAPHY MISSION ; SHUTTLE RADAR ; ACCURACY ASSESSMENT ; HEIGHT ESTIMATION ; AIRBORNE LIDAR ; ASSOCIATIONS ; MAP
WOS记录号	WOS:000424327400010
出版者	TAYLOR & FRANCIS LTD
文献子类	Article
出版地	ABINGDON
EISSN	2150-7058
资助机构	National Key R&D Program of China [2016YFC0500202] ; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41471363, 31741016, 41401505] ; National Science FoundationNational Science Foundation (NSF) [DBI 1356077]
作者邮箱	qguo@ucmerced.edu
引用统计	被引频次：37[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/2S10CLM1/20543
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Hange, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA
推荐引用方式 GB/T 7714	Zhao, Xiaoqian,Su, Yanjun,Hu, Tianyu,et al. A global corrected SRTM DEM product for vegetated areas[J]. REMOTE SENSING LETTERS,2018,9(4):393-402.
APA	Zhao, Xiaoqian.,Su, Yanjun.,Hu, Tianyu.,Chen, Linhai.,Gao, Shang.,...&Guo, Qinghua.(2018).A global corrected SRTM DEM product for vegetated areas.REMOTE SENSING LETTERS,9(4),393-402.
MLA	Zhao, Xiaoqian,et al."A global corrected SRTM DEM product for vegetated areas".REMOTE SENSING LETTERS 9.4(2018):393-402.

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AglobalcorrectedSRTM（2084KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览请求全文