Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal-Reference-Cited by-同舟云学术

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Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal

Published:2020-11-02 Issue:4 Volume:18 Page:1403-1419
ISSN:1612-510X
Container-title:Landslides
language:en
Short-container-title:Landslides

Author:

Pokharel Badal,Althuwaynee Omar F.,Aydda Ali,Kim Sang-Wan,Lim Samsung,Park Hyuck-Jin

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s10346-020-01558-5.pdf

Reference76 articles.

1. Alkhasawneh MS, Ngah UK, Tay LT, Mat Isa NA, al-batah MS (2013) Determination of important topographic factors for landslide mapping analysis using MLP network. Sci World J 2013:1–12. https://doi.org/10.1155/2013/415023

2. Althuwaynee OF, Pradhan B (2014) An alternative technique for landslide inventory modeling based on spatial pattern characterization. Lect Notes Geoinform Cartogr. https://doi.org/10.1007/978-3-319-03644-1_3

3. Althuwaynee OF, Pradhan B, Park HJ, Lee JH (2014) A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping. Catena 114:21–36

4. Althuwaynee OF, Asikoglu O, Eris E (2018) Threshold contour production of rainfall intensity that induces landslides in susceptible regions of northern Turkey. Landslides 15(8):1541–1560

5. Alvioli M, Marchesini I, Reichenbach P, Rossi M, Ardizzone F, Fiorucci F, Guzzetti F (2016) Automatic delineation of geomorphological slope-units and their optimization for landslide susceptibility modelling. Geosci Model Dev Discuss 9:3975–3991. https://doi.org/10.5194/gmd-2016-118

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