A comparative modeling of landslides susceptibility at a meso-scale using frequency ratio and analytic hierarchy process models in geographic information system: the case of African Alpine Mountains (Rif, Morocco)

Boukhres, Nada; Mastere, Mohamed; Thiéry, Yannick; Maquaire, Olivier; Fellah, Bouchta El; Costa, Stéphane

doi:10.1007/s40808-022-01605-1

Cited by 3 publications

(1 citation statement)

References 81 publications

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“…On the basis of a set of geo-environmental factors, LHZ mapping identified the landslide probable zones [1][2] and founded that the set of conditions which were responsible for past and present landslides will likely induce future landslides. Presently, LHZ mapping is carried out using heuristic [3][4][5][6], probabilistic/statistical methods [7][8][9][10], semi-quantitative/logical [11][12][13], deterministic or physically based [14][15] and machine learning methods [16][17][18][19]. An exhaustive literature survey has indicated the relative potential of each method of LHZ mapping, in addition to many gaps.…”

Section: Introductionmentioning

confidence: 99%

Landslide Hazard Zonation of Tehri Reservoir Rim Area Using Modified LHEF Rating Scheme

Kumar,

Anbalagan,

Agarwal

et al. 2023

E3S Web Conf.

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The study aimed to utilize the capabilities of geospatial technology for landslide hazard evaluation factor (LHEF) scheme recorded in the Bureau of Indian Standard (BIS) code to prepare a landslide hazard zonation (LHZ) map of the Tehri reservoir rim area at the macro-scale. Multisource remote sensing data were visually and digitally interpreted to produces thematic layers and slope facet as recorded in BIS method. LHEF method is suited for meso and macro scale mapping thus, to broaden the scope of LHEF scheme, novel approaches were adopted namely, the mapping unit ‘slope facet’ was more precisely extracted through digital and visual interpretation of remote sensing data, the structural favorability map was extracted using photo-lineament density criteria. Additionally, two external factors, rainfall and seismicity were incorporated in LHEF rating scheme and used a matrix-based system to propose their combined rating. With the modified LHEF rating scheme, we have succeeded in identifying LHZ with reasonable accuracy. The bar chart method used to validate LHZ results that clearly indicated a high number of landslides falling in high to very high hazard zone conversely, very few landslides observed in low to very low hazard zone identified from current approach.

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