KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
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, Shangmin1; Cheng, Weiming2![]() ![]() | |
2017 | |
Source Publication | ZEITSCHRIFT FUR GEOMORPHOLOGIE
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ISSN | 0372-8854 |
Volume | 61Pages: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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