SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery

doi:10.3390/rs70911202

	SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery
	Su, Yanjun 1; Guo, Qinghua1 ; Ma, Qin 1; Li, Wenkai 2
	2015
发表期刊	REMOTE SENSING
卷号	7 期号:9 页码:11202-11225
摘要	The Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) is one of the most complete and frequently used global-scale DEM products in various applications. However, previous studies have shown that the SRTM DEM is systematically higher than the actual land surface in vegetated mountain areas. The objective of this study is to propose a procedure to calibrate the SRTM DEM over large vegetated mountain areas. Firstly, we developed methods to estimate canopy cover from aerial imagery and tree height from multi-source datasets (i.e., field observations, airborne light detection and ranging (LiDAR) data, Geoscience Laser Altimeter System (GLAS) data, Landsat TM imagery, climate surfaces, and topographic data). Then, the airborne LiDAR derived DEM, covering similar to 5% of the study area, was used to evaluate the accuracy of the SRTM DEM. Finally, a regression model of the SRTM DEM error depending on tree height, canopy cover, and terrain slope was developed to calibrate the SRTM DEM. Our results show that the proposed procedure can significantly improve the accuracy of the SRTM DEM over vegetated mountain areas. The mean difference between the SRTM DEM and the LiDAR DEM decreased from 12.15 m to -0.82 m, and the standard deviation dropped by 2 m.
关键词	SRTM DEM LiDAR ICESat GLAS vegetation mountain canopy height canopy cover
学科领域	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.3390/rs70911202
收录类别	SCI
语种	英语
WOS关键词	DIGITAL ELEVATION MODELS ; FOREST BIOMASS ; C-BAND ; TOPOGRAPHY MISSION ; HEIGHT ESTIMATION ; ICESAT/GLAS DATA ; CANOPY HEIGHT ; SHUTTLE RADAR ; LANDSAT TM ; COVER
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000362511400010
出版者	MDPI
文献子类	Article
出版地	BASEL
EISSN	2072-4292
资助机构	National Science Foundation of China [41471363, 31270563]
作者邮箱	suyanjun1987@gmail.com ; guo.qinghua@gmail.com ; christine1511@gmail.com ; liwenk3@mail.sysu.edu.cn
作品OA属性	gold, Green Submitted, Green Published
引用统计	被引频次：44[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/2S10CLM1/25582
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 Change, Beijing 100093, Peoples R China 2.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA 95343 USA 3.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Su, Yanjun,Guo, Qinghua,Ma, Qin,et al. SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery[J]. REMOTE SENSING,2015,7(9):11202-11225.
APA	Su, Yanjun,Guo, Qinghua,Ma, Qin,&Li, Wenkai.(2015).SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery.REMOTE SENSING,7(9),11202-11225.
MLA	Su, Yanjun,et al."SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery".REMOTE SENSING 7.9(2015):11202-11225.

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