A global corrected SRTM DEM product for vegetated areas

doi:10.1080/2150704X.2018.1425560

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	A global corrected SRTM DEM product for vegetated areas
	Zhao, Xiaoqian 3; Su, Yanjun 2; Hu, Tianyu ; Chen, Linhai ; Gao, Shang 3; Wang, Rui 3; Jin, Shichao 3; Guo, Qinghua 2
刊名	REMOTE SENSING LETTERS
	2018
卷号	9 期号:4 页码:393-402
ISSN号	2150-704X
DOI	10.1080/2150704X.2018.1425560
文献子类	Article
英文摘要	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.
学科主题	Remote Sensing ; Imaging Science & Photographic Technology
电子版国际标准刊号	2150-7058
出版地	ABINGDON
WOS关键词	DIGITAL ELEVATION MODELS ; RADAR TOPOGRAPHY MISSION ; SHUTTLE RADAR ; ACCURACY ASSESSMENT ; HEIGHT ESTIMATION ; AIRBORNE LIDAR ; ASSOCIATIONS ; MAP
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000424327400010
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]
内容类型	期刊论文
源URL	[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.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Hange, Beijing, Peoples R China
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.