Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China

doi:10.1127/zfg_suppl/2016/0325

IGSNRR OpenIR

	Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China
	Zhao, Shangmin 1; Cheng, Weiming2 ; Zhou, Chenghu2 ; Liu, Haijiang 3; Su, Qiaomei 1; Zhang, Shifang 4; He, Weican 1; Wang, Li 1; Wu, Wenjiao 1
	2017
Source Publication	ZEITSCHRIFT FUR GEOMORPHOLOGIE
ISSN	0372-8854
Volume	61 Pages:9-26
Corresponding Author	Zhao, Shangmin(zhaoshangmin@tyut.edu.cn)
Abstract	Using the multinomial logistic regression (MLR) model, this study quantitatively simulate the vertical error distribution of ASTER GDEM V2 data based on the ICESat/GLA14 data and land surface factors (including topographic, NDVI and land use factors) in the Loess Plateau of China. Research results show: (1) there is a positive correlation between the vertical error and the topographic factors including elevation, relief and slope factors. With regard to the aspect factor, a symmetrical aspect direction for the distribution of the negative and positive error values is found. In general, the vertical error decreases with increasing NDVI values. With regard to land use factor, the highest vertical error distributes in forestland and grassland. (2) The vertical error distribution probability shows a near normal distribution with marginal negative skewness. (3)The accuracy of the model results is estimated to be higher than 70 % based on the different checked datasets including the simulated and checked ICESat/GLA14 data and ground control points in topographic maps.
Keyword	vertical error distribution MLR model ASTER GDEM V2 ICESat/GLA14 land surface factors
DOI	10.1127/zfg_suppl/2016/0325
WOS Keyword	BAND SRTM DEM ; LOGISTIC-REGRESSION ; ACCURACY ASSESSMENT ; FEATURE-SELECTION ; ELEVATION DATA ; VALIDATION ; CLASSIFICATION ; ALTIMETRY
Indexed By	SCI
Language	英语
Funding Project	National Natural Science Foundation of China[41301469] ; National Natural Science Foundation of China[41171332] ; Open Foundation of the LREIS ; National Science Technology Basic Work Special Project[2011FY110400-2] ; Qualified Personnel Foundation of Taiyuan University of Technology (QPFT)[tyut-rc201221a]
Funding Organization	National Natural Science Foundation of China ; Open Foundation of the LREIS ; National Science Technology Basic Work Special Project ; Qualified Personnel Foundation of Taiyuan University of Technology (QPFT)
WOS Research Area	Physical Geography ; Geology
WOS Subject	Geography, Physical ; Geosciences, Multidisciplinary
WOS ID	WOS:000417964400002
Publisher	GEBRUDER BORNTRAEGER
Citation statistics
Document Type	期刊论文
Identifier	http://ir.igsnrr.ac.cn/handle/311030/56775
Collection	中国科学院地理科学与资源研究所
Corresponding Author	Zhao, Shangmin
Affiliation	1.Taiyuan Univ Technol, Coll Min Engn, Dept Surveying & Mapping, Taiyuan 030024, Shanxi, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China 4.Taiyuan Univ Technol, Dept Earth Sci & Engn, Coll Min Engn, Taiyuan 030024, Shanxi, Peoples R China
Recommended Citation GB/T 7714	Zhao, Shangmin,Cheng, Weiming,Zhou, Chenghu,et al. Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China[J]. ZEITSCHRIFT FUR GEOMORPHOLOGIE,2017,61:9-26.
APA	Zhao, Shangmin.,Cheng, Weiming.,Zhou, Chenghu.,Liu, Haijiang.,Su, Qiaomei.,...&Wu, Wenjiao.(2017).Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China.ZEITSCHRIFT FUR GEOMORPHOLOGIE,61,9-26.
MLA	Zhao, Shangmin,et al."Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China".ZEITSCHRIFT FUR GEOMORPHOLOGIE 61(2017):9-26.

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