This work is licensed under the Creative Commons Attribution 4.0 International License.
Akgun A., Keskin I., Nefeslioglu H.A., 2012a. The importance of geological and morphological factors in landslide susceptibility of the area around of, Turkey. Environmental Earth Sciences 65(6): 1701-1716.AkgunA.KeskinI.NefesliogluH.A., 2012a. The importance of geological and morphological factors in landslide susceptibility of the area around of, Turkey. Environmental Earth Sciences65(6): 1701-1716.Search in Google Scholar
Akgun A., Sezer E.A., Nefeslioglu H.A., 2012b. A comparative study of landslide susceptibility maps produced using logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at Izmir, Turkey. Landslides 9(1): 93-106. DOI 10.1007/s10346-011-0283-7.AkgunA.SezerE.A.NefesliogluH.A., 2012b. A comparative study of landslide susceptibility maps produced using logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at Izmir, Turkey. Landslides9(1): 93-106. DOI 10.1007/s10346-011-0283-7.Open DOISearch in Google Scholar
Ayalew L., Yamagishi H., Ugawa N., 2004. Landslide susceptibility mapping using GIS-based weighted linear combination, fuzzy logic and neural network techniques in the Kakuda-Yahiko Mountains, Central Japan. Journal of Asian Earth Sciences 23(5): 755-767. DOI 10.1007/s10346-003-0006-9.AyalewL.YamagishiH.UgawaN., 2004. Landslide susceptibility mapping using GIS-based weighted linear combination, fuzzy logic and neural network techniques in the Kakuda-Yahiko Mountains, Central Japan. Journal of Asian Earth Sciences23(5): 755-767. DOI 10.1007/s10346-003-0006-9.Open DOISearch in Google Scholar
Bai S.B., Wang J., Lü G., Zhou P.G., 2010. GIS-based landslide susceptibility mapping using analytical hierarchy process and back-propagation neural network. Journal of Geographical Sciences 20(2): 231-240.BaiS.B.WangJ.LüG.ZhouP.G., 2010. GIS-based landslide susceptibility mapping using analytical hierarchy process and back-propagation neural network. Journal of Geographical Sciences20(2): 231-240.Search in Google Scholar
Barman B., Mishra D., Sarkar S., 2019. Comparative evaluation of machine learning algorithms for landslide susceptibility mapping in Darjeeling Himalayas, India. Geocarto International 34(8): 884-903.BarmanB.MishraD.SarkarS., 2019. Comparative evaluation of machine learning algorithms for landslide susceptibility mapping in Darjeeling Himalayas, India. Geocarto International34(8): 884-903.Search in Google Scholar
Bhandari R.K., Fediuk F., Kafle S., 2021. Landslide susceptibility assessment in the Himalayan region: A review of models and techniques. Journal of Mountain Science 18(3): 634-655.BhandariR.K.FediukF.KafleS., 2021. Landslide susceptibility assessment in the Himalayan region: A review of models and techniques. Journal of Mountain Science18(3): 634-655.Search in Google Scholar
Bhandary N.P., Sitharam T.G., 2014. Landslide susceptibility mapping using frequency ratio model in Western Ghats, India. Geomatics, Natural Hazards and Risk 5(3): 245-260.BhandaryN.P.SitharamT.G., 2014. Landslide susceptibility mapping using frequency ratio model in Western Ghats, India. Geomatics, Natural Hazards and Risk5(3): 245-260.Search in Google Scholar
Bhattacharya S., Mukherjee S., Jani J., 2013. Landslide susceptibility mapping: A remote sensing and GIS based statistical analysis approach. Journal of the Indian Society of Remote Sensing 41(2): 393-403.BhattacharyaS.MukherjeeS.JaniJ., 2013. Landslide susceptibility mapping: A remote sensing and GIS based statistical analysis approach. Journal of the Indian Society of Remote Sensing41(2): 393-403.Search in Google Scholar
Caine N., 1980. The rainfall intensity-duration control of shallow landslides and debris flows. GeografiskaAn-naler: Series A, Physical Geography 62(1-2): 23-27. DOI 10.1080/04353676.1980.11879996.CaineN., 1980. The rainfall intensity-duration control of shallow landslides and debris flows. GeografiskaAn-naler: Series A, Physical Geography62(1-2): 23-27. DOI 10.1080/04353676.1980.11879996.Open DOISearch in Google Scholar
Carrara A., Cardinali M., Detti R., GuzzettiF., Pasqui V., Reichenbach P., 1992. GIS techniques and statistical models in evaluating landslide hazard. Earth Science Reviews 32(3-4): 213-228. DOI 10.1002/esp.3290160505.CarraraA.CardinaliM.DettiR.GuzzettiF.PasquiV.ReichenbachP., 1992. GIS techniques and statistical models in evaluating landslide hazard. Earth Science Reviews32(3-4): 213-228. DOI 10.1002/esp.3290160505.Open DOISearch in Google Scholar
Chae B.G., Lee S., Park N.W., 2012. Analysis of landslide susceptibility using logistic regression in the Gangwon Province, Korea. Environmental Earth Sciences 67(5): 1445-1456.ChaeB.G.LeeS.ParkN.W., 2012. Analysis of landslide susceptibility using logistic regression in the Gangwon Province, Korea. Environmental Earth Sciences67(5): 1445-1456.Search in Google Scholar
Chen T., Wang Y., Wang H., Lu X., He L., 2020. Comparison of machine learning models for landslide susceptibility assessment in the Wu River Basin, China. Remote Sensing 12(6): 937.ChenT.WangY.WangH.LuX.HeL., 2020. Comparison of machine learning models for landslide susceptibility assessment in the Wu River Basin, China. Remote Sensing12(6): 937.Search in Google Scholar
Frattini P., Crosta G., Carrara A., 2010. Techniques for evaluating the performance of landslide susceptibility models. Engineering geology 111(1-4): 62-72.FrattiniP.CrostaG.CarraraA., 2010. Techniques for evaluating the performance of landslide susceptibility models. Engineering geology111(1-4): 62-72.Search in Google Scholar
Dhital M.R., Thakuri S., Bhandary N.P., Kumar L., 2021. Landslide Susceptibility and risk management plan of Kaligandaki Watershed, Western Nepal. Geosciences 11(5): 200.DhitalM.R.ThakuriS.BhandaryN.P.KumarL., 2021. Landslide Susceptibility and risk management plan of Kaligandaki Watershed, Western Nepal. Geosciences11(5): 200.Search in Google Scholar
Dou J., Zhang Y., Chen X., Chen H., Chen S., 2020. A comparison of machine learning algorithms for landslide susceptibility mapping in Sichuan Province, China. Geo-matics, Natural Hazards and Risk 11(1): 629-652.DouJ.ZhangY.ChenX.ChenH.ChenS., 2020. A comparison of machine learning algorithms for landslide susceptibility mapping in Sichuan Province, China. Geo-matics, Natural Hazards and Risk11(1): 629-652.Search in Google Scholar
Ercanoglu M., Nefeslioglu H.A., Gokceoglu C., 2020. Spatially distributed debris flow susceptibility assessment using logistic regression, artificial neural network and support vector machine models: A case study in the Trabzon Province, NE Turkey. Bulletin of Engineering Geology and the Environment 79(3): 1613-1637.ErcanogluM.NefesliogluH.A.GokceogluC., 2020. Spatially distributed debris flow susceptibility assessment using logistic regression, artificial neural network and support vector machine models: A case study in the Trabzon Province, NE Turkey. Bulletin of Engineering Geology and the Environment79(3): 1613-1637.Search in Google Scholar
Fatah K.K., Mustafa Y.T., Hassan I.O., 2023. Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq. Environment, Development and Sustainability: 1-38. DOI 10.1007/s10668-023-02995-7.FatahK.K.MustafaY.T.HassanI.O., 2023. Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq. Environment, Development and Sustainability:1-38. DOI 10.1007/s10668-023-02995-7.Open DOISearch in Google Scholar
Gariano S.L., Guzzetti F., 2016. Landslides in a changing climate. Earth-Science Reviews 162: 227-252. DOI 10.1016/j. earscirev.2016.08.011.GarianoS.L.GuzzettiF., 2016. Landslides in a changing climate. Earth-Science Reviews162: 227-252. DOI 10.1016/j.earscirev.2016.08.011.Open DOISearch in Google Scholar
Gokceoglu C., Sonmez H., Nefeslioglu H.A., 2005a. A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistic regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. Catena 64(2-3): 170-180. DOI 10.1016/j.catena.2011.01.014.GokceogluC.SonmezH.NefesliogluH.A., 2005a. A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistic regression methods for landslide susceptibility mapping in Trabzon, NE Turkey. Catena64(2-3): 170-180. DOI 10.1016/j.catena.2011.01.014.Open DOISearch in Google Scholar
Gokceoglu C., Sonmez H., Nefeslioglu H.A., Duman T.Y., 2005b. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Engineering Geology 79(3-4): 251-266. DOI 10.1016/j.enggeo.2008.01.004.GokceogluC.SonmezH.NefesliogluH.A.DumanT.Y., 2005b. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps. Engineering Geology79(3-4): 251-266. DOI 10.1016/j.enggeo.2008.01.004.Open DOISearch in Google Scholar
Guzzetti F., 2006. Landslide hazard and risk assessment. PhD thesis, Universitäts-und Landesbibliothek Bonn.GuzzettiF.PhD, 2006. Landslide hazard and risk assessment. thesis, Universitäts-und Landesbibliothek Bonn.Search in Google Scholar
Huang Y., He S., Xu Q., Wu X., 2020. Coupling effect of rainfall intensity and slope gradient on the initiation of rainfall-induced landslides. Landslides 17(9): 2129-2144.HuangY.HeS.XuQ.WuX., 2020. Coupling effect of rainfall intensity and slope gradient on the initiation of rainfall-induced landslides. Landslides17(9): 2129-2144.Search in Google Scholar
Kavzoglu T., Sahin E.K., 2009. Landslide susceptibility mapping using random forest algorithm. Computers Geosciences 35(8): 1712-1724.KavzogluT.SahinE.K., 2009. Landslide susceptibility mapping using random forest algorithm. Computers Geosciences35(8): 1712-1724.Search in Google Scholar
Kavzoglu T., Sahin E.K., 2011. Comparison of decision tree algorithms for landslide susceptibility mapping. Bulletin of Engineering Geology and the Environment 70(3): 347-366.KavzogluT.SahinE.K., 2011. Comparison of decision tree algorithms for landslide susceptibility mapping. Bulletin of Engineering Geology and the Environment70(3): 347-366.Search in Google Scholar
Kavzoglu T., Sahin E.K., 2021. Comparison of support vector machines, artificial neural networks, and decision trees for landslide susceptibility mapping. Geomatics, Natural Hazards and Risk 12(1): 186-208.KavzogluT.SahinE.K., 2021. Comparison of support vector machines, artificial neural networks, and decision trees for landslide susceptibility mapping. Geomatics, Natural Hazards and Risk12(1): 186-208.Search in Google Scholar
Kumar A., Sharma R.K., Bansal V.K., 2018a. Landslide hazard zonation using analytical hierarchy process along National Highway-3 in mid Himalayas of Himachal Pradesh, India. Environmental Earth Sciences 77: 1-19. DOI 10.1007/s12665-018-7896-2.KumarA.SharmaR.K.BansalV.K., 2018a. Landslide hazard zonation using analytical hierarchy process along National Highway-3 in mid Himalayas of Himachal Pradesh, India. Environmental Earth Sciences77: 1-19. DOI 10.1007/s12665-018-7896-2.Open DOISearch in Google Scholar
Kumar V., Mishra D., Sarkar S., 2018b. A comparative study of different machine learning algorithms for landslide susceptibility mapping in Darjeeling Himalayas. Geocarto International 33(8): 856-873. DOI10.1080/10106049.2016.1230785.KumarV.MishraD.SarkarS., 2018b. A comparative study of different machine learning algorithms for landslide susceptibility mapping in Darjeeling Himalayas. Geocarto International33(8): 856-873. DOI10.1080/10106049.2016.1230785.Open DOISearch in Google Scholar
Kumar A., Sharma R.K., Bansal V.K., 2019a. GIS-based comparative study of information value and frequency ratio method for landslide hazard zonation in a part of mid-Himalaya in Himachal Pradesh. Innovative Infrastructure Solutions 4: 1-17. DOI 10.1007/s41062-019-0215-2.KumarA.SharmaR.K.BansalV.K., 2019a. GIS-based comparative study of information value and frequency ratio method for landslide hazard zonation in a part of mid-Himalaya in Himachal Pradesh. Innovative Infrastructure Solutions4: 1-17. DOI 10.1007/s41062-019-0215-2.Open DOISearch in Google Scholar
Kumar A., Sharma R.K., Bansal V.K., 2019b. GIS-Based landslide hazard mapping along NH-3 in mountainous terrain of Himachal Pradesh, India using weighted overlay analysis. In Proceedings of the 1st International Conference on Sustainable Waste Management through Design: IC_ SWMD 2018 1. Springer International Publishing: 59-67. DOI 10.1007/978-3-030-02707-0_9.KumarA.SharmaR.K.BansalV.K., 2019b. GIS-Based landslide hazard mapping along NH-3 in mountainous terrain of Himachal Pradesh, India using weighted overlay analysis. In Proceedings of the 1st International Conference on Sustainable Waste Management through Design: IC_ SWMD 2018 1. Springer International Publishing: 59-67. DOI 10.1007/978-3-030-02707-0_9.Open DOISearch in Google Scholar
Kumar A., Sharma R.K., Bansal V.K., 2022. Spatial prediction of landslide hazard using GIS-multi-criteria decision analysis in Kullu District of Himachal Pradesh, India. Journal of Mining and Environment 13(4): 943-956. DOI 10.22044/jme.2022.12235.2222.KumarA.SharmaR.K.BansalV.K., 2022. Spatial prediction of landslide hazard using GIS-multi-criteria decision analysis in Kullu District of Himachal Pradesh, India. Journal of Mining and Environment13(4): 943-956. DOI 10.22044/jme.2022.12235.2222.Open DOISearch in Google Scholar
Kumar A., Sharma R.K., Mehta B.S., 2020. Slope stability analysis and mitigation measures for selected landslide sites along NH-205 in Himachal Pradesh, India. Journal of Earth System Science 129: 1-14. DOI 10.1007/s12040-020-01396-y.KumarA.SharmaR.K.MehtaB.S., 2020. Slope stability analysis and mitigation measures for selected landslide sites along NH-205 in Himachal Pradesh, India. Journal of Earth System Science129: 1-14. DOI 10.1007/s12040-020-01396-y.Open DOISearch in Google Scholar
Laura Z.F., Moussa N.N., Christian B.A.M., Monespérance M.G.M., Landry W.D.P., Rodrigue T.K., Sébastien O., 2023. Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Bafoussam-Dschang region (West Cameroon). Advances in Space Research. DOI 10.1016/j.asr.2023.02.014.LauraZ.F.MoussaN.N.ChristianB.A.M.MonespéranceM.G.M.LandryW.D.P.RodrigueT.K.SébastienO., 2023. Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Bafoussam-Dschang region (West Cameroon). Advances in Space Research. DOI 10.1016/j.asr.2023.02.014.Open DOISearch in Google Scholar
Lee S., Lee M.J., Kim D., 2019a. Spatial prediction of landslide susceptibility using machine learning algorithms and environmental variables. Geosciences 9(4): 177.LeeS.LeeM.J.KimD., 2019a. Spatial prediction of landslide susceptibility using machine learning algorithms and environmental variables. Geosciences9(4): 177.Search in Google Scholar
Lee S., Min K.J., Choi J., Kim J., 2019b. Landslide susceptibility mapping using machine learning algorithms in the Samcheok area, Korea. Geomatics, Natural Hazards and Risk 10(1): 115-134.LeeS.MinK.J.ChoiJ.KimJ., 2019b. Landslide susceptibility mapping using machine learning algorithms in the Samcheok area, Korea. Geomatics, Natural Hazards and Risk10(1): 115-134.Search in Google Scholar
Lee S., Ryu J.H., Won J.S., 2019c. Landslide susceptibility mapping using logistic regression and the weight of evidence method in the Seorak mountain area, Korea. Geo-carto International 34(7): 799-815.LeeS.RyuJ.H.WonJ.S., 2019c. Landslide susceptibility mapping using logistic regression and the weight of evidence method in the Seorak mountain area, Korea. Geo-carto International34(7): 799-815.Search in Google Scholar
Lee S., Min K.J., Choi J., Kim J., 2020. Effect of excavation depth on the stability of steep cut slopes in jointed rocks. Geotechnical and Geological Engineering 38(4): 2731-2741.LeeS.MinK.J.ChoiJ.KimJ., 2020. Effect of excavation depth on the stability of steep cut slopes in jointed rocks. Geotechnical and Geological Engineering38(4): 2731-2741.Search in Google Scholar
Lin Y.C., Chen S.C., Huang C.H., Chen Y.W., Tsai C.C., Wang C.C., 2018. Applying landslide susceptibility assessment and forest management strategies to mitigate landslide hazards in Taiwan. Forests 9(7): 380.LinY.C.ChenS.C.HuangC.H.ChenY.W.TsaiC.C.WangC.C., 2018. Applying landslide susceptibility assessment and forest management strategies to mitigate landslide hazards in Taiwan. Forests9(7): 380.Search in Google Scholar
Matougui Z., Djerbal L., Bahar R., 2023. A comparative study of heterogeneous and homogeneous ensemble approaches for landslide susceptibility assessment in the Djebahia region, Algeria. Environmental Science and Pollution Research: 1-27. DOI 10.1007/s11356-023-26247-3.MatouguiZ.DjerbalL.BaharR., 2023. A comparative study of heterogeneous and homogeneous ensemble approaches for landslide susceptibility assessment in the Djebahia region, Algeria. Environmental Science and Pollution Research: 1-27. DOI 10.1007/s11356-023-26247-3.Open DOISearch in Google Scholar
Mikoš M., Arbanas Ž., Arbanas J., Mladenović A., 2012. Landslide susceptibility mapping using GIS-based data mining techniques: A case study from the Island of Kor-čula (Croatia). Geomorphology 153: 49-58.MikošM.ArbanasŽ.ArbanasJ.MladenovićA., 2012. Landslide susceptibility mapping using GIS-based data mining techniques: A case study from the Island of Kor-čula (Croatia). Geomorphology153: 49-58.Search in Google Scholar
Nath S.K., Roy A., 2018. Landslide susceptibility mapping using frequency ratio, information value and weights-of-evidence models in the Darjeeling Himalayas, India. Geocarto International 33(10): 1035-1051.NathS.K.RoyA., 2018. Landslide susceptibility mapping using frequency ratio, information value and weights-of-evidence models in the Darjeeling Himalayas, India. Geocarto International33(10): 1035-1051.Search in Google Scholar
Nautiyal A., Kumar A., Poddar A., Parajuli N., 2021. Optimum transportation of relief materials aftermath the disaster. Journal of Achievements in Materials and Manufacturing Engineering 109(1). DOI 10.5604/01.3001.0015.5857.NautiyalA.KumarA.PoddarA.ParajuliN., 2021. Optimum transportation of relief materials aftermath the disaster. Journal of Achievements in Materials and Manufacturing Engineering109(1). DOI 10.5604/01.3001.0015.5857.Open DOISearch in Google Scholar
Neupane A., Paudyal K.R., Devkota K.C., Dhungana P., 2023. Landslide susceptibility analysis using frequency ratio and weight of evidence approaches along the Lakhande-hiKhola watershed in the Sarlahi District, southern Nepal. Geographical Journal of Nepal: 73-96. DOI 10.3126/gjn. v16i01.53486.NeupaneA.PaudyalK.R.DevkotaK.C.DhunganaP., 2023. Landslide susceptibility analysis using frequency ratio and weight of evidence approaches along the Lakhande-hiKhola watershed in the Sarlahi District, southern Nepal. Geographical Journal of Nepal:73-96. DOI 10.3126/gjn.v16i01.53486.Open DOISearch in Google Scholar
Nyandwi N., Zhang Y., Lu H., Uwimana E., 2017. Analysis of landslide susceptibility using GIS and remote sensing techniques: A case study of Kigali City, Rwanda. Journal of African Earth Sciences 129: 16-26.NyandwiN.ZhangY.LuH.UwimanaE., 2017. Analysis of landslide susceptibility using GIS and remote sensing techniques: A case study of Kigali City, Rwanda. Journal of African Earth Sciences129: 16-26.Search in Google Scholar
Ohlmacher G.C., Davis J.C., 2003. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Engineering Geology 69(3-4): 331-343. DOI 10.1016/S0013-7952(03)00069-3.OhlmacherG.C.DavisJ.C., 2003. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Engineering Geology69(3-4): 331-343. DOI 10.1016/S0013-7952(03)00069-3.Open DOISearch in Google Scholar
Petley D.N., 2012. Global patterns of loss of life from landslides. Geology 40(10): 927-930. DOI 10.1130/G33217.1.PetleyD.N., 2012. Global patterns of loss of life from landslides. Geology40(10): 927-930. DOI 10.1130/G33217.1.Open DOISearch in Google Scholar
Pham B.T., Pradhan B., Bui D.T., Nhu V.H., Revhaug I., 2018. Ensemble model using bagging, boosting and stacking for landslide susceptibility assessment in the Lai Chau Province, Vietnam. Geocarto International 33(3): 307-327.PhamB.T.PradhanB.BuiD.T.NhuV.H.RevhaugI., 2018. Ensemble model using bagging, boosting and stacking for landslide susceptibility assessment in the Lai Chau Province, Vietnam. Geocarto International33(3): 307-327.Search in Google Scholar
Pradhan B., 2010. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Computers Geosciences 36(8): 991-998. DOI 10.1016/j.cageo.2012.08.023.PradhanB., 2010. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Computers Geosciences36(8): 991-998. DOI 10.1016/j.cageo.2012.08.023.Open DOISearch in Google Scholar
Rahmati O., Pourghasemi H.R., Rezaie-Balf M., Pradhan B., 2020. Landslide susceptibility mapping using GIS-based data mining algorithms and novel multi-criteria decision-making techniques in the Kurdistan region, Iran. Journal of Mountain Science 17(2): 329-353.RahmatiO.PourghasemiH.R.Rezaie-BalfM.PradhanB., 2020. Landslide susceptibility mapping using GIS-based data mining algorithms and novel multi-criteria decision-making techniques in the Kurdistan region, Iran. Journal of Mountain Science17(2): 329-353.Search in Google Scholar
Regmi N.R., Giardino J.R., Strager M.P., 2020. Investigating the relationship between precipitation variability and landslide occurrence in the Indian Himalayas. Geomorphology 353: 107013.RegmiN.R.GiardinoJ.R.StragerM.P., 2020. Investigating the relationship between precipitation variability and landslide occurrence in the Indian Himalayas. Geomorphology353: 107013.Search in Google Scholar
Sattar A.A., Ismail E., Shahid S., Rehman S., 2020. Glacier retreat and its association with landslide occurrence in the Karakoram Mountains. Geomatics, Natural Hazards and Risk 11(1): 1757-1778.SattarA.A.IsmailE.ShahidS.RehmanS., 2020. Glacier retreat and its association with landslide occurrence in the Karakoram Mountains. Geomatics, Natural Hazards and Risk11(1): 1757-1778.Search in Google Scholar
Shano L., Raghuvanshi T.K., Meten M., 2020. Landslide susceptibility evaluation and hazard zonation techniques-A review. Geoenviron Disasters7: 18. DOI 10.1186/s40677-020-00152-0.ShanoL.RaghuvanshiT.K.MetenM., 2020. Landslide susceptibility evaluation and hazard zonation techniques-A review. Geoenviron Disasters7: 18. DOI 10.1186/s40677-020-00152-0.Open DOISearch in Google Scholar
Sharma B., Kumar R., Mondal P., 2019. Landslide susceptibility mapping using data-driven bivariate statistical models in the Indian Himalayas. Arabian Journal of Geosciences 12(18): 559.SharmaB.KumarR.MondalP., 2019. Landslide susceptibility mapping using data-driven bivariate statistical models in the Indian Himalayas. Arabian Journal of Geosciences12(18): 559.Search in Google Scholar
Sharma B., Mondal P., Kumar R., 2021. A comparative study of bivariate statistical models and machine learning algorithms for landslide susceptibility mapping in the Indian Himalayas. Bulletin of Engineering Geology and the Environment 80(3): 2017-2032.SharmaB.MondalP.KumarR., 2021. A comparative study of bivariate statistical models and machine learning algorithms for landslide susceptibility mapping in the Indian Himalayas. Bulletin of Engineering Geology and the Environment80(3): 2017-2032.Search in Google Scholar
Sharma M., Kumar A., 2015. Landslide susceptibility mapping using frequency ratio, fuzzy logic and probabilistic methods in parts of Mandakini river basin, Uttarakhand, India. Geocarto International 30(3): 298-317.SharmaM.KumarA., 2015. Landslide susceptibility mapping using frequency ratio, fuzzy logic and probabilistic methods in parts of Mandakini river basin, Uttarakhand, India. Geocarto International30(3): 298-317.Search in Google Scholar
Sharma R.K., Kaur A., Kumar A., 2019. Slope stability analysis by Bishop analysis using MATLAB program basedon particle swarm optimization technique. In: Proceedings of the 1st Inter-national Conference on Sustainable Waste Management through Design: IC_SWMD 2018 1. Springer International Publishing: 285-293. DOI 10.1007/978-3-030-02707-0_34.SharmaR.K.KaurA.KumarA., 2019. Slope stability analysis by Bishop analysis using MATLAB program based on particle swarm optimization technique. In: Proceedings of the 1st International Conference on Sustainable Waste Management through Design: IC_SWMD 2018 1. Springer International Publishing: 285-293. DOI 10.1007/978-3-030-02707-0_34.Open DOISearch in Google Scholar
Sidle R., Ochiai H., 2006. Processes, prediction, and land use. Water resources monograph. American Geophysical Union, Washington: 525.SidleR.OchiaiH., 2006. Processes, prediction, and land use. Water resources monograph.American Geophysical Union, Washington: 525.Search in Google Scholar
Tangestani M.H., Pourghasemi H.R., Maghsoudi M., Rezaei M., 2019. A comparative study of bivariate and multivariate statistical models for landslide susceptibility mapping in a semi-arid region, Iran. Natural Hazards 99(1): 343-370.TangestaniM.H.PourghasemiH.R.MaghsoudiM.RezaeiM., 2019. A comparative study of bivariate and multivariate statistical models for landslide susceptibility mapping in a semi-arid region, Iran. Natural Hazards99(1): 343-370.Search in Google Scholar
Thakur V.C., Kumar A., 2013. Landslide susceptibility zonation using frequency ratio model in Darjeeling Himalayas, West Bengal, India. Geoenvironmental Disasters 1(1): 5.ThakurV.C.KumarA., 2013. Landslide susceptibility zonation using frequency ratio model in Darjeeling Himalayas, West Bengal, India. Geoenvironmental Disasters1(1): 5.Search in Google Scholar
Thambidurai P., Veerappan R., Beigh I.H., Luitel K.K., 2023. Landslide susceptibility assessment using frequency ratio model in TurungMamring, South District of Sikkim, India. In: Landslides: Detection, prediction and monitoring: Technological developments. Springer International Publishing, Cham: 285-305. DOI 10.1007/978-3-031-23859-8_14.ThambiduraiP.VeerappanR.BeighI.H.LuitelK.K., 2023. Landslide susceptibility assessment using frequency ratio model in TurungMamring, South District of Sikkim, India. In: Landslides: Detection, prediction and monitoring: Technological developments.Springer International Publishing, Cham: 285-305. DOI 10.1007/978-3-031-23859-8_14.Open DOISearch in Google Scholar
USGS [United State Geological Survey], 2021. Mineral Commodities Summaries 2021. Virginia, USA.USGS [United State Geological Survey], 2021. Mineral Commodities Summaries 2021. Virginia, USA.Search in Google Scholar
Van Den Eeckhaut M., Poesen J., Reichenbach P., Malet J.P., 2018. Landslide susceptibility assessment: From inventory to early warning. Geomorphology 321: 112-131.Van Den EeckhautM.PoesenJ.ReichenbachP.MaletJ.P., 2018. Landslide susceptibility assessment: From inventory to early warning. Geomorphology321: 112-131.Search in Google Scholar
Wu W., Xu Q., Wu H., Zhou A., 2019. Comparison of four machine learning models for landslide susceptibility mapping in Three Gorges Reservoir Area, China. Geomorphology 330: 176-191.WuW.XuQ.WuH.ZhouA., 2019. Comparison of four machine learning models for landslide susceptibility mapping in Three Gorges Reservoir Area, China. Geomorphology330: 176-191.Search in Google Scholar
Yadav M., Pal S.K., Singh P.K., Gupta N., 2023. Landslide susceptibility zonation mapping using frequency ratio, information value model, and logistic regression model: A case study of Kohima District in Nagaland, India. In: Thambidurai P., Singh T.N. (eds), Landslides: Detection, prediction and monitoring: Technological developments. Springer International Publishing, Cham: 333-363. DOI 10.1007/978-3-031-23859-8_17.YadavM.PalS.K.SinghP.K.GuptaN., 2023. Landslide susceptibility zonation mapping using frequency ratio, information value model, and logistic regression model: A case study of Kohima District in Nagaland, India. In: ThambiduraiP.SinghT.N. (eds), Landslides: Detection, prediction and monitoring: Technological developments. Springer International Publishing, Cham: 333-363. DOI 10.1007/978-3-031-23859-8_17.Open DOISearch in Google Scholar
Zhou J., Tan S., Li J., Xu J., Wang C., Ye H., 2023. Landslide susceptibility assessment using the analytic hierarchy process (AHP): A case study of a construction site for photovoltaic power generation in Yunxian County, Southwest China. Sustainability 15(6): 5281. DOI 10.3390/ su15065281.ZhouJ.TanS.LiJ.XuJ.WangC.YeH., 2023. Landslide susceptibility assessment using the analytic hierarchy process (AHP): A case study of a construction site for photovoltaic power generation in Yunxian County, Southwest China. Sustainability15(6): 5281. DOI 10.3390/su15065281.Open DOISearch in Google Scholar
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