IMHE OpenIR  > 山地灾害与地表过程重点实验室
A new slope unit extraction method for regional landslide analysis based on morphological image analysis
Wang, Kai1,2; Zhang, Shaojie1; DelgadoTellez, Ricardo1; Wei, Fangqiang3
Corresponding AuthorZhang, Shaojie(sj-zhang@imde.ac.cn)
2019-09-01
Source PublicationBULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
ISSN1435-9529
EISSN1435-9537
Volume78Issue:6Pages:4139-4151
SubtypeArticle
AbstractIn landslide analysis it is necessary to first define and extract slope units from remotely sensed data. When this is done using hydrological process analysis, there can be complications caused by apparent sudden changes in slope gradient, resulting in the assumption of homogeneity of regional slope stability not being met. This issue is addressed in this paper with the proposal of a novel slope unit extraction method, which is derived from morphological image analysis (MIA) and results in the extraction of homogeneous slope units (HSU). It is thus referred to as the MIA-HSU method. In this method, slope units are defined as small, closed and homogeneous in 3D space. The MIA method uses logical algorithms, such as expansion and erosion, to extract slope units. Jiangjia Gully, Yunnan Province, China was selected to test the MIA-HSU method. Results indicate that slope units extracted by this method overcome defects of sudden changes in slope gradient and are able to identify geographical features meaningful for further landslide analysis. The MIA-HSU method presents a more uniform slope and aspect, and is better suited to regional landslide analysis than data obtained using the hydrological process analysis method.
KeywordSlope unit Homogeneity assumption Slope stability analysis Morphology image analysis
DOI10.1007/s10064-018-1389-0
Indexed BySCI
WOS KeywordRAINFALL THRESHOLDS ; SHALLOW LANDSLIDES ; GIS ; PREDICTION ; SYSTEM ; PARAMETERS ; INITIATION ; OBJECTS ; MODELS
Language英语
Quartile3区
Funding ProjectScience and Technology Service Network Initiative[KFJ-SW-STS-180] ; Chongqing Municipal Bureau of Land, Resources and Housing Administration[KJ-2018005] ; Edanz Group China
TOP
WOS Research AreaEngineering ; Geology
WOS SubjectEngineering, Environmental ; Engineering, Geological ; Geosciences, Multidisciplinary
WOS IDWOS:000482240400020
Funding OrganizationScience and Technology Service Network Initiative ; Chongqing Municipal Bureau of Land, Resources and Housing Administration ; Edanz Group China
PublisherSPRINGER HEIDELBERG
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/23873
Collection山地灾害与地表过程重点实验室
Corresponding AuthorZhang, Shaojie
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China
2.Zhongyuan Univ Technol, Inst Civil Engn, Zhengzhou 450007, Henan, Peoples R China
3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Wang, Kai,Zhang, Shaojie,DelgadoTellez, Ricardo,et al. A new slope unit extraction method for regional landslide analysis based on morphological image analysis[J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,2019,78(6):4139-4151.
APA Wang, Kai,Zhang, Shaojie,DelgadoTellez, Ricardo,&Wei, Fangqiang.(2019).A new slope unit extraction method for regional landslide analysis based on morphological image analysis.BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,78(6),4139-4151.
MLA Wang, Kai,et al."A new slope unit extraction method for regional landslide analysis based on morphological image analysis".BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT 78.6(2019):4139-4151.
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