中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China

文献类型:期刊论文

作者Zhao, Shangmin1; Qi, Danning1; Li, Rongping2; Cheng, Weiming3; Zhou, Chenghu3
刊名EUROPEAN JOURNAL OF REMOTE SENSING
出版日期2021
卷号54期号:1页码:145-157
关键词Performance comparison typical open global DEM datasets elevation error relative error hydrologic network Icesat GLA14
DOI10.1080/22797254.2021.1891577
通讯作者Zhao, Shangmin(zhaoshangmin@tyut.edu.cn)
英文摘要This paper aims to compare the performance of typical open global DEM datasets by using the indexes of elevation error, relative error and hydrologic network. Taking Fenhe River Basin of China as the study area, this research made quantitative performance comparison among four typical open global DEM datasets including SRTM data with 1" (SRTM1) and 3" (SRTM3) resolutions, ASTER Global DEM data at the 2nd version (GDEM-v2) and ALOS World 3D-30 m (AW3D) data. Through process and selection, more than 80,000 ICESat/GLA14 points were used as the reference data, and the elevation error was computed and compared accordingly. Furthermore, relative error was analyzed using slope values, and false slope ratio index was computed and categorically compared. Finally, the hydrologic networks extracted from the four DEM datasets were compared to the reference hydrologic network acquired by visual interpretation from remote sensing images. The research results show that the AW3D has the best performance, which is approximate to but a little better than SRTM1. The performance of SRTM3 and GDEM-v2 is similar, which are much worse than that of AW3D and SRTM1, and the performance of GDEM-v2 is the worst of all.
资助项目National Key Research and Development Program[2017YFB0503603] ; Natural Science Foundation of Shanxi Province[201901D111098] ; National Natural Science Foundation of China[41631179] ; National Natural Science Foundation of China[41771443]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000626023900001
出版者TAYLOR & FRANCIS LTD
资助机构National Key Research and Development Program ; Natural Science Foundation of Shanxi Province ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/162120]  
专题中国科学院地理科学与资源研究所
通讯作者Zhao, Shangmin
作者单位1.Taiyuan Univ Technol, Coll Min Engn, Dept Surveying & Mapping, 79 Yingze West St, Taiyuan 030024, Peoples R China
2.Liaoning Ecol Meteorol & Satellite Remote Sensing, Shenyang, Peoples R China
3.Chinese Acad Sci, Inst Geog & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Shangmin,Qi, Danning,Li, Rongping,et al. Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China[J]. EUROPEAN JOURNAL OF REMOTE SENSING,2021,54(1):145-157.
APA Zhao, Shangmin,Qi, Danning,Li, Rongping,Cheng, Weiming,&Zhou, Chenghu.(2021).Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China.EUROPEAN JOURNAL OF REMOTE SENSING,54(1),145-157.
MLA Zhao, Shangmin,et al."Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China".EUROPEAN JOURNAL OF REMOTE SENSING 54.1(2021):145-157.

入库方式: OAI收割

来源:地理科学与资源研究所

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