Abdulkareem, J.H., B. Pradhan, W.N.A. Sulaiman, and N.R. Jamil. 2019. Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed. Geoscience Frontiers 10 (2): 389–403.
Article
Google Scholar
Akgün, A., and N. Türk. 2011. Mapping erosion susceptibility by a multivariate statistical method: A case study from the Ayvalık region, NW Turkey. Computers & Geosciences 37 (9): 1515–1524.
Article
Google Scholar
Aleotti, P., and R. Chowdhury. 1999. Landslide hazard assessment: Summary review and new perspectives. Bulletin of Engineering Geology and the Environment. 58: 21–44.
Article
Google Scholar
Alkhasawneh, M.S., U.K. Ngah, L.T. Tay, M. Isa, N. Ashidi, and M.S. Al-batah. 2013. Determination of important topographic factors for landslide mapping analysis using MLP network. The Scientific World Journal. https://doi.org/10.1155/2013/415023.
Althuwaynee, O.F., B. Pradhan, and S. Lee. 2016. A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison. International Journal of Remote Sensing. 37 (5): 1190–1209.
Article
Google Scholar
Arabameri, A., B. Pradhan, H.R. Pourghasemi, K. Rezaei, and N. Kerle. 2018a. Spatial modelling of gully Erosion using GIS and R programing: A comparison among three data mining algorithms. Applied Sciences. 8 (8): 1369.
Article
Google Scholar
Arabameri, A., K. Rezaei, H.R. Pourghasemi, S. Lee, and M. Yamani. 2018b. GIS-based gully erosion susceptibility mapping: A comparison among three data-driven models and AHP knowledge-based technique. Environmental Earth Sciences. 77 (17): 628.
Article
Google Scholar
Ayalew, L., H. Yamagishi, and N. Ugawa. 2004. Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata prefecture, Japan. Landslides 1 (1): 73–81.
Article
Google Scholar
Beguería, S. 2006. Changes in land cover and shallow landslide activity: A case study in the Spanish Pyrenees. Geomorphology. 74 (1–4): 196–206.
Article
Google Scholar
Besler, H. 1987. Slope properties, slope processes and soil erosion risk in the tropical rain forest of Kalimantan Timur (Indonesian Borneo). Earth surface Processes and landforms 12 (2): 195–204.
Article
Google Scholar
Bijukchhen, S.M., P. Kayastha, and M.R. Dhital. 2013. A comparative evaluation of heuristic and bivariate statistical modelling for landslide susceptibility mappings in Ghurmi–Dhad Khola, East Nepal. Arabian Journal of Geosciences 6 (8): 2727–2743.
Article
Google Scholar
Bourenane, H., Y. Bouhadad, M.S. Guettouche, and M. Braham. 2015. GIS-based landslide susceptibility zonation using bivariate statistical and expert approaches in the city of Constantine (Northeast Algeria). Bulletin of Engineering Geology and the Environment 74 (2): 337–355.
Article
Google Scholar
Brenning, A. 2005. Spatial prediction models for landslide hazards: Review, comparison and evaluation. Natural Hazards and Earth System Science 5: 853–862.
Article
Google Scholar
Brito, T.T., J.F. Oliveira-Júnior, G.B. Lyra, G. Gois, and M. Zeri. 2017. Multivariate analysis applied to monthly rainfall over Rio de Janeiro state, Brazil. Meteorology and Atmospheric Physics 129 (5): 469–478.
Article
Google Scholar
Chen, C.Y., and F.C. Yu. 2011. Morphometric analysis of debris flows and their source areas using GIS. Geomorphology. 129 (3–4): 387–397.
Article
Google Scholar
Chen, W., H. Chai, X. Sun, Q. Wang, X. Ding, and H. Hong. 2016a. A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping. Arabian Journal of Geosciences. 9 (3): 204.
Article
Google Scholar
Chen, W., W. Li, H. Chai, E. Hou, X. Li, and X. Ding. 2016b. GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji city, China. Environmental Earth Sciences 75 (1): 1–14.
Article
Google Scholar
Chen, W., X. Xie, J. Wang, B. Pradhan, H. Hong, D.T. Bui, Z. Duan, and J. Ma. 2017. A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility. Catena. 151: 147–160.
Article
Google Scholar
Clerici, A., S. Perego, C. Tellini, and P. Vescovi. 2006. A GIS-based automated procedure for landslide susceptibility mapping by the conditional analysis method: The Baganza valley case study (Italian northern Apennines). Environmental Geology 50 (7): 941–961.
Article
Google Scholar
Conoscenti, C., V. Agnesi, S. Angileri, C. Cappadonia, E. Rotigliano, and M. Märker. 2013. A GIS-based approach for gully erosion susceptibility modelling: A test in Sicily, Italy. Environmental Earth Sciences 70 (3): 1179–1195.
Article
Google Scholar
Correa-Muñoz, N.A., and J.F. Higidio-Castro. 2017. Determination of landslide susceptibility in linear infrastructure. Case: Aqueduct network in Palacé, Popayan (Colombia). Ingeniería e Invest. 37 (2): 17–24.
Article
Google Scholar
Costanzo, D., E. Rotigliano, C. Irigaray Fernández, J.D. Jiménez-Perálvarez, and J. Chacón Montero. 2012. Factors selection in landslide susceptibility modelling on large scale following the GIS matrix method: Application to the river Beiro basin (Spain). Natural Hazards and Earth System Sciences. 12: 327–340.
Article
Google Scholar
Dai, F.C., and C.F. Lee. 2002. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42 (3–4): 213–228.
Article
Google Scholar
de Neergaard, A., J. Magid, and O. Mertz. 2008. Soil erosion from shifting cultivation and other smallholder land use in Sarawak, Malaysia. Agriculture, Ecosystems & Environment. 125 (1): 182–190.
Article
Google Scholar
Dewitte, O., M. Daoudi, C. Bosco, and M. Van Den Eeckhaut. 2015. Predicting the susceptibility to gully initiation in data-poor regions. Geomorphology. 228: 101–115.
Article
Google Scholar
Erener, A., A. Mutlu, and H.S. Düzgün. 2016. A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM). Engineering Geology 203: 45–55.
Article
Google Scholar
Fadul, H.M., A.A. Salih, A.A. Imad-eldin, and S. Inanaga. 1999. Use of remote sensing to map gully erosion along the Atbara River, Sudan. International Journal of Applied Earth Observation and Geoinformation 1 (3): 175–180.
Article
Google Scholar
Fischer, J.T., J. Kowalski, and S.P. Pudasaini. 2012. Topographic curvature effects in applied avalanche modeling. Cold Regions Science and Technology 74: 21–30.
Article
Google Scholar
Foumelis, M., E. Lekkas, and I. Parcharidis. 2004. Landslide susceptibility mapping by GIS-based qualitative weighting procedure in Corinth area. Bulletin of the Geological Society of Greece 36 (2): 904–912.
Article
Google Scholar
Galve, J.P., A. Cevasco, P. Brandolini, and M. Soldati. 2015. Assessment of shallow landslide risk mitigation measures based on land use planning through probabilistic modelling. Landslides. 12 (1): 101–114.
Article
Google Scholar
Garosi, Y., M. Sheklabadi, H.R. Pourghasemi, A.A. Besalatpour, C. Conoscenti, and K. Van Oost. 2018. Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping. Geoderma. 330: 65–78.
Article
Google Scholar
Glade, T. 2003. Landslide occurrence as a response to land use change: A review of evidence from New Zealand. Catena. 51 (3–4): 297–314.
Article
Google Scholar
Gómez-Gutiérrez, Á., C. Conoscenti, S.E. Angileri, E. Rotigliano, and S. Schnabel. 2015. Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two Mediterranean basins: Advantages and limitations. Natural Hazards. 79 (1): 291–314.
Article
Google Scholar
Guzzetti, F., A. Carrara, M. Cardinali, and P. Reichenbach. 1999. Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31: 81–216.
Article
Google Scholar
Haan, C.T., B.J. Barfield, and J.C. Hayes. 1994. Design hydrology and sedimentology for small catchments. San Diego: Elsevier.
Huabin, W., L. Gangjun, X. Weiya, and W. Gonghui. 2005. GIS based landslide hazard assessment: An overview. Progress in Physical Geography. 29 (4): 548–567.
Article
Google Scholar
Kavzoglu, T., E.K. Sahin, and I. Colkesen. 2014. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression. Landslides. 11 (3): 425–439.
Article
Google Scholar
Kayastha, P., M.R. Dhital, and F. De Smedt. 2013. Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, West Nepal. Computers & Geosciences. 52: 398–408.
Article
Google Scholar
Kheir, R.B., J. Wilson, and Y. Deng. 2007. Use of terrain variables for mapping gully erosion susceptibility in Lebanon. Earth Surface Processes and Landforms. 32 (12): 1770–1782.
Article
Google Scholar
Komac, M. 2006. A landslide susceptibility model using the analytical hierarchy process method and multivariate statistics in perialpine Slovenia. Geomorphology. 74 (1): 17–28.
Article
Google Scholar
Lee, S., J.H. Ryu, J.S. Won, and H.J. Park. 2004. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Engineering Geology 71 (3–4): 289–302.
Article
Google Scholar
Lee, S., and T. Sambath. 2006. Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environmental Geology 50 (6): 847–855.
Article
Google Scholar
Leh, M., S. Bajwa, and I. Chaubey. 2013. Impact of land use change on erosion risk: An integrated remote sensing, geographic information system and modeling methodology. Land Degradation & Development. 24 (5): 409–421.
Google Scholar
Lin, Z., and T. Oguchi. 2004. Drainage density, slope angle, and relative basin position in Japanese bare lands from high-resolution DEMs. Geomorphology. 63 (3–4): 159–173.
Article
Google Scholar
Lucà, F., M. Conforti, and G. Robustelli. 2011. Comparison of GIS-based gullying susceptibility mapping using bivariate and multivariate statistics: Northern Calabria, South Italy. Geomorphology 134 (3): 297–308.
Article
Google Scholar
Lyra, G.B., J.F. Oliveira-Júnior, and M. Zeri. 2014. Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Alagoas state, northeast of Brazil. International Journal of Climatology 34 (13): 3546–3558.
Article
Google Scholar
Malczewski, J. 1999. GIS and multi-criteria decision analysis. 1st ed, 392. New York: Wiley.
Google Scholar
Mandal, S., and K. Mandal. 2018. Modeling and mapping landslide susceptibility zones using GIS based multivariate binary logistic regression (LR) model in the Rorachu river basin of eastern Sikkim Himalaya, India. Model Earth Systems and Environment 4 (1): 69–88.
Article
Google Scholar
Menggenang, P., and S. Samanta. 2017. Modelling and mapping of landslide hazard using remote sensing and GIS techniques. Model Earth Systems and Environment. 3 (3): 1113–1122.
Article
Google Scholar
Meten, M., N. Prakash Bhandary, and R. Yatabe. 2015. Effect of landslide factor combinations on the prediction accuracy of landslide susceptibility maps in the Blue Nile gorge of Central Ethiopia. Geoenvironmental Disasters. 2 (1): 9.
Article
Google Scholar
Mokarram, M., G. Roshan, and S. Negahban. 2015. Landform classification using topography position index (case study: Salt dome of Korsia-Darab plain, Iran). Model Earth Systems and Environment. 1 (4): 40.
Article
Google Scholar
Montgomery, D.R., and W.E. Dietrich. 1989. Source areas, drainage density, and channel initiation. Water Resources Research. 25 (8): 1907–1918.
Article
Google Scholar
Moore, I.D., and G.J. Burch. 1986a. Physical basis of the length slope factor in the universal soil loss equation. Soil Science Society of America Journal. 50 (5): 1294–1298.
Article
Google Scholar
Moore, I.D., and G.J. Burch. 1986b. Modeling erosion and deposition. Topographic effects. Transactions of the ASAE 29 (6): 1624–1630.
Article
Google Scholar
Neaupane, K.M., and M. Piantanakulchai. 2006. Analytic network process model for landslide hazard zonation. Engineering Geology 85 (3): 281–294.
Article
Google Scholar
Nekhay, O., M. Arriaza, and L. Boerboom. 2009. Evaluation of soil erosion risk using analytic network process and GIS: A case study from Spanish mountain olive plantations. Journal of Environmental Management. 90 (10): 3091–3104.
Article
Google Scholar
Oh, H.J., and S. Lee. 2017. Shallow landslide susceptibility modeling using the data mining models artificial neural network and boosted tree. Applied Sciences. 7 (10): 1000.
Article
Google Scholar
Othman, A.A., R. Gloaguen, L. Andreani, and M. Rahnama. 2018. Improving landslide susceptibility mapping using morphometric features in the Mawat area, Kurdistan region, NE Iraq: Comparison of different statistical models. Geomorphology. 319: 147–160.
Article
Google Scholar
Panagos, P., P. Borrelli, and K. Meusburger. 2015. A new European slope length and steepness factor (LS-factor) for modeling soil erosion by water. Geosciences. 5 (2): 117–126.
Article
Google Scholar
Park, S., C. Choi, B. Kim, and J. Kim. 2013. Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea. Environmental Earth Sciences 68 (5): 1443–1464.
Article
Google Scholar
Pham, B.T., D.T. Bui, H.R. Pourghasemi, P. Indra, and M.B. Dholakia. 2017. Landslide susceptibility assessment in the Uttarakhand area (India) using GIS: A comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods. Theoretical and Applied Climatology 128 (1–2): 255–273.
Article
Google Scholar
Pourghasemi, H., B. Pradhan, C. Gokceoglu, and K.D. Moezzi. 2013b. A comparative assessment of prediction capabilities of Dempster–Shafer and weights-of-evidence models in landslide susceptibility mapping using GIS. Geomatics Natural Hazards and Risk. 4 (2): 93–118.
Article
Google Scholar
Pourghasemi, H.R., H.R. Moradi, and S.F. Aghda. 2013a. Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances. Natural Hazards 69 (1): 749–779.
Article
Google Scholar
Pourghasemi, H.R., B. Pradhan, and C. Gokceoglu. 2012. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural Hazards 63 (2): 965–996.
Article
Google Scholar
Prasannakumar, V., R. Shiny, N. Geetha, and H. Vijith. 2011. Applicability of SRTM data for landform characterisation and geomorphometry: A comparison with contour-derived parameters. International Journal of Digital Earth. 4 (5): 387–401.
Article
Google Scholar
Rahaman, S.A., and S. Aruchamy. 2017. Geoinformatics based landslide vulnerable zonation mapping using analytical hierarchy process (AHP), a study of Kallar river sub watershed, Kallar watershed, Bhavani basin, Tamil Nadu. Model Earth Systems and Environment. 3 (1): 41.
Article
Google Scholar
Rahmati, O., A. Haghizadeh, H.R. Pourghasemi, and F. Noormohamadi. 2016. Gully erosion susceptibility mapping: The role of GIS-based bivariate statistical models and their comparison. Natural Hazards. 82 (2): 1231–1258.
Article
Google Scholar
Rahmati, O., N. Tahmasebipour, A. Haghizadeh, H.R. Pourghasemi, and B. Feizizadeh. 2017. Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework. Science of the Total Environment. 579: 913–927.
Article
CAS
Google Scholar
Raja, N.B., I. Çiçek, N. Türkoğlu, O. Aydin, and A. Kawasaki. 2017. Landslide susceptibility mapping of the Sera River basin using logistic regression model. Natural Hazards. 85 (3): 1323–1346.
Article
Google Scholar
Reis, S., A. Yalcin, M. Atasoy, R. Nisanci, T. Bayrak, M. Erduran, C. Sancar, and S. Ekercin. 2012. Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytical hierarchy methods in Rize province (NE Turkey). Environmental Earth Sciences. 66 (7): 2063–2073.
Article
Google Scholar
Saaty, T.L. 1980. The analytical hierarchy process, 350. New York: McGraw Hill.
Google Scholar
Saaty, T.L. 1990. The analytic hierarchy process: Planning, priority setting, resource allocation. 1st ed, 502. Pittsburgh: RWS Publications.
Google Scholar
Saaty, T.L. 1994. Fundamentals of decision making and priority theory with analytic hierarchy process. 1st ed, 527. Pittsburgh: RWS Publications.
Google Scholar
Saaty, T.L., and L.G. Vargas. 2001. Models, methods, concepts, and applications of the analytic hierarchy process. 1st ed, 333. Boston: Kluwer Academic.
Book
Google Scholar
Sangchini, E.K., S.N. Emami, N. Tahmasebipour, H.R. Pourghasemi, S.A. Naghibi, S.A. Arami, and B. Pradhan. 2016. Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran. Arab Journal of Geosciences 9 (3): 1–15.
Google Scholar
Seif, A. 2014. Using topography position index for landform classification (case study: Grain Mountain). Bulletin of Environment, Pharmacology and Life Sciences 3: 33–39.
Google Scholar
Shit, P.K., R. Paira, G. Bhunia, and R. Maiti. 2015. Modeling of potential gully erosion hazard using geo-spatial technology at Garbheta block, West Bengal in India. Model Earth Systems and Environment 1 (2): 1–16.
Google Scholar
Svoray, T., E. Michailov, A. Cohen, L. Rokah, and A. Sturm. 2012. Predicting gully initiation: Comparing data mining techniques, analytical hierarchy processes and the topographic threshold. Earth Surface Processes and Landforms 37 (6): 607–619.
Article
Google Scholar
Teodoro, P.E., J.F. de Oliveira-Júnior, E.R. Da Cunha, C.C. Correa, F.E. Torres, V.M. Bacani, G. Gois, and L.P. Ribeiro. 2016. Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Mato Grosso do Sul state, Brazil. Meteorology and Atmospheric Physics 128 (2): 197–209.
Article
Google Scholar
Thornbury, W.D. 1969. Principles of geomorphology. 2nd ed. New York: Wiley.
Google Scholar
Tien Bui, D., B. Pradhan, O. Lofman, and I. Revhaug. 2012. Landslide susceptibility assessment in Vietnam using support vector machines, decision tree, and Naive Bayes Models. Mathematical problems in Engineering. https://doi.org/10.1155/2012/974638.
Torri, D., J. Poesen, M. Rossi, V. Amici, D. Spennacchi, and C. Cremer. 2018. Gully head modelling: A Mediterranean badland case study. Earth Surface Processes and Landforms. 43 (12): 2547–2561.
Article
Google Scholar
Van Westen, C.J. 2000. The modelling of landslide hazards using GIS. Surveys in Geophysics. 21: 241–255.
Article
Google Scholar
Van Westen, C.J., T.W.J. Van Asch, and R. Soeters. 2006. Landslide hazard and risk zonation why is still so difficult? Bulletin of Engineering geology and the Environment. 65: 167–184.
Article
Google Scholar
Vijith, H., and D. Dodge-Wan. 2018. Spatio-temporal changes in rate of soil loss and erosion vulnerability of selected region in the tropical forests of Borneo during last three decades. Earth Science Informatics. 11 (2): 171–181.
Article
Google Scholar
Vijith, H., A. Hurmain, and D. Dodge-Wan. 2018b. Impacts of land use changes and land cover alteration on soil erosion rates and vulnerability of tropical mountain ranges in Borneo. Remote Sensing Applications: Society and Environment. 12: 57–69.
Article
Google Scholar
Vijith, H., L.W. Seling, and D. Dodge-Wan. 2018a. Estimation of soil loss and identification of erosion risk zones in a forested region in Sarawak, Malaysia, northern Borneo. Environment, Development and Sustainability. 20 (3): 1365–1384.
Article
Google Scholar
Vuillez, C., M. Tonini, K. Sudmeier-Rieux, S. Devkota, M.H. Derron, and M. Jaboyedoff. 2018. Land use changes, landslides and roads in the Phewa watershed, Western Nepal from 1979 to 2016. Applied Geography 94: 30–40.
Article
Google Scholar
Wadge, G. 1988. The potential of GIS modelling of gravity flows and slope instabilities. International Journal of Geographical Information System. 2 (2): 143–152.
Article
Google Scholar
Wang, Q., W. Li, W. Chen, and H. Bai. 2015. GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China. Journal of Earth System Science 124 (7): 1399–1415.
Article
Google Scholar
Weiss, A. 2001. Topographic position and landforms analysis. Geomorphology. 21: 251–264.
Google Scholar
Wilson, J.P., and J.C. Gallant. 2000. Digital terrain analysis. Terrain Analysis: Principles and Applications. 6 (12): 1–27.
Google Scholar
Yalcin, A. 2008. GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations. Catena. 72 (1): 1–12.
Article
Google Scholar
Yasser, M., K. Jahangir, and A. Mohmmad. 2013. Earth damsite selection using the analytic hierarchy process (AHP): A case study in the west of Iran. Arabian Journal of Geoscience. 6 (9): 3417–3426.
Article
Google Scholar
Yoshimatsu, H., and S. Abe. 2006. A review of landslide hazards in Japan and assessment of their susceptibility using an analytical hierarchic process (AHP) method. Landslides. 3 (2): 149–158.
Article
Google Scholar
Youssef, A.M. 2015. Landslide susceptibility delineation in the Ar-Rayth area, Jizan, Kingdom of Saudi Arabia, using analytical hierarchy process, frequency ratio, and logistic regression models. Environmental Earth Sciences. 73 (12): 8499–8518.
Article
Google Scholar
Zhu, A.X., R. Wang, J. Qiao, C.Z. Qin, Y. Chen, J. Liu, F. Du, Y. Lin, and T. Zhu. 2014. An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic. Geomorphology. 214: 128–138.
Article
Google Scholar