globalchange  > 气候变化与战略
DOI: 10.1007/s11069-020-03899-9
论文题名:
The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China
作者: Chen Z.; Ye F.; Fu W.; Ke Y.; Hong H.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 101, 期:3
起始页码: 853
结束页码: 877
语种: 英语
中文关键词: DEM spatial resolution ; Frequency ratio ; Index of entropy ; Landslide susceptibility ; Slope units ; Weight of evidence
英文关键词: accuracy assessment ; digital elevation model ; hazard assessment ; landslide ; mapping ; river basin ; spatial resolution ; China
英文摘要: The selection of an appropriate map resolution is highly important for landslide susceptibility assessment. No consistent objective criteria, however, are currently applied to the choice of map resolution. This research, in conjunction with slope units, explores the effect of digital elevation model (DEM) resolution on susceptibility modelling using three statistical models (frequency ratio, index of entropy, and weight of evidence). Seven different spatial resolutions (30, 40, 50, 60, 70, 80, and 90 m) and three statistical models are investigated. For each resolution, we compare the performance of the three models using area under curve (AUC) analysis. The results show that, independent of the statistical models, the best performances are produced at 70 m DEM resolution. This highlights that finer resolutions do not necessarily lead to higher predictive accuracy in landslide susceptibility mapping. Rather, the frequency ratio model seems to be optimal for the coarser resolutions (i.e. 70, 80, and 90 m). © 2020, Springer Nature B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168430
Appears in Collections:气候变化与战略

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作者单位: State Key Laboratory of Hydraulic and Mountain River Engineering, Department of Geotechnical Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu, 610065, China; UMR 8148 GEOPS, Univ. Paris Sud-CNRS-Université Paris-Saclay, Orsay Cedex, 91405, France; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing, 210023, China; State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing, 210023, China; Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, 210023, China

Recommended Citation:
Chen Z.,Ye F.,Fu W.,et al. The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China[J]. Natural Hazards,2020-01-01,101(3)
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