Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China

doi:10.1080/22797254.2021.1891577

	Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China
	Zhao, Shangmin 3; Qi, Danning 3; Li, Rongping 1; Cheng, Weiming 2; Zhou, Chenghu 2
刊名	EUROPEAN JOURNAL OF REMOTE SENSING
	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
DOI	10.1080/22797254.2021.1891577
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
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000626023900001
资助机构	National Key Research and Development Program ; Natural Science Foundation of Shanxi Province ; National Natural Science Foundation of China
内容类型	期刊论文
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.Liaoning Ecol Meteorol & Satellite Remote Sensing, Shenyang, Peoples R China 2.Chinese Acad Sci, Inst Geog & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.Taiyuan Univ Technol, Coll Min Engn, Dept Surveying & Mapping, 79 Yingze West St, Taiyuan 030024, 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.