GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya

[1]  P. de Maeyer,et al.  Attribution of changes in the trend and temporal non-uniformity of extreme precipitation events in Central Asia , 2021, Scientific Reports.

[2]  K. V. Kumar,et al.  Effect of time and space partitioning strategies of samples on regional landslide susceptibility modelling , 2021, Landslides.

[3]  S. Sarkar,et al.  Estimation of rainfall threshold for the early warning of shallow landslides along National Highway-10 in Darjeeling Himalayas , 2020, Natural Hazards.

[4]  H. Havenith,et al.  Effect of Soil Geomechanical Properties and Geo-Environmental Factors on Landslide Predisposition at Mount Oku, Cameroon , 2020, International journal of environmental research and public health.

[5]  Wei Chen,et al.  Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation , 2020, Remote. Sens..

[6]  Naonori Ueda,et al.  Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data , 2020, Remote. Sens..

[7]  Chaoyong Shen,et al.  Construct and evaluate the classification models of six types of geological hazards in Bijie city, Guizhou province, China , 2020 .

[8]  Shuvasish Karmokar,et al.  Flash flood risk assessment for drainage basins in the Himalayan foreland of Jalpaiguri and Darjeeling Districts, West Bengal , 2020, Modeling Earth Systems and Environment.

[9]  Thomas Blaschke,et al.  Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran , 2020, Remote. Sens..

[10]  O. Igwe,et al.  GIS-based landslide susceptibility mapping using heuristic and bivariate statistical methods for Iva Valley and environs Southeast Nigeria , 2020, Environmental Monitoring and Assessment.

[11]  B. K. Bhadra,et al.  Landslide Susceptibility Mapping Using Landslide Numerical Risk Factor Model and Landslide Inventory Prepared Through OBIA in Chenab Valley, Jammu and Kashmir (India) , 2019, Journal of the Indian Society of Remote Sensing.

[12]  Binh Thai Pham,et al.  Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam , 2019, Geocarto International.

[13]  Sunil Saha,et al.  Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India , 2019, Geoenvironmental Disasters.

[14]  Sepideh Tavakkoli Piralilou,et al.  A Hybrid Spatial Multi-Criteria Evaluation Method for Mapping Landslide Susceptible Areas in Kullu Valley, Himalayas , 2019, Geosciences.

[15]  D. Saha,et al.  Stress regime changes in the Main Boundary Thrust zone, Eastern Himalaya, decoded from fault-slip analysis , 2019, Journal of Structural Geology.

[16]  Slavoljub Dragićević,et al.  Statistical and expert-based landslide susceptibility modeling on a national scale applied to North Macedonia , 2019, Open Geosciences.

[17]  S. Mandal,et al.  Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India , 2018, Advances in Space Research.

[18]  D. Petley,et al.  Global fatal landslide occurrence from 2004 to 2016 , 2018, Natural Hazards and Earth System Sciences.

[19]  Swades Pal,et al.  Identification of landslide susceptibility zones in Gish River basin, West Bengal, India , 2018 .

[20]  A. Siddan,et al.  Landslide Susceptibility Mapping and Comparison Using Frequency Ratio and Analytical Hierarchy Process in Part of NH-58, Uttarakhand, India , 2017 .

[21]  M. Mukul,et al.  Out-of-sequence reactivation of the Munsiari thrust in the Relli River basin, Darjiling Himalaya, India: Insights from Shuttle Radar Topography Mission digital elevation model-based geomorphic indices , 2017 .

[22]  Biswajeet Pradhan,et al.  A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) , 2016, Environ. Model. Softw..

[23]  P. Raha,et al.  Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India , 2016 .

[24]  Y. T. Kim,et al.  Evaluation of a combined spatial multi-criteria evaluation model and deterministic model for landslide susceptibility mapping , 2016 .

[25]  Biswajeet Pradhan,et al.  Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree , 2016, Landslides.

[26]  R. Anbalagan,et al.  Landslide susceptibility mapping using analytical hierarchy process (AHP) in Tehri reservoir rim region, Uttarakhand , 2016, Journal of the Geological Society of India.

[27]  Alexander Brenning,et al.  Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling , 2015, Comput. Geosci..

[28]  D. P. Kanungo,et al.  Landslide hazard assessment in the upper Alaknanda valley of Indian Himalayas , 2015 .

[29]  P. K. Champati ray,et al.  Spatial prediction of landslide susceptibility in parts of Garhwal Himalaya, India, using the weight of evidence modelling , 2015, Environmental Monitoring and Assessment.

[30]  Ahmed M. Youssef,et al.  Landslide susceptibility delineation in the Ar-Rayth area, Jizan, Kingdom of Saudi Arabia, using analytical hierarchy process, frequency ratio, and logistic regression models , 2015, Environmental Earth Sciences.

[31]  Shraban Sarkar,et al.  Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas , 2013, Journal of the Geological Society of India.

[32]  Hyuck-Jin Park,et al.  Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach , 2013 .

[33]  Norman Kerle,et al.  Landslide hazard and risk assessment using semi-automatically created landslide inventories , 2013 .

[34]  B. Pradhan,et al.  Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran , 2012, Natural Hazards.

[35]  C. Westen,et al.  Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India) , 2011 .

[36]  G. Ohlmacher.  Plan curvature and landslide probability in regions dominated by earth flows and earth slides , 2007 .

[37]  P. Reichenbach,et al.  Estimating the quality of landslide susceptibility models , 2006 .

[38]  Manoj K. Arora,et al.  A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas , 2006 .

[39]  M. Arora,et al.  An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas , 2005 .

[40]  D. P. Kanungo,et al.  An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS , 2004 .

[41]  Andrea G. Fabbri,et al.  Validation of Spatial Prediction Models for Landslide Hazard Mapping , 2003 .

[42]  T. Oguchi,et al.  Identification of an active fault in the Japanese Alps from DEM-based hill shading , 2003 .

[43]  Thomas H Meyer,et al.  Terrain Analysis: Principles and Applications , 2001 .

[44]  P. Aleotti,et al.  Landslide hazard assessment: summary review and new perspectives , 1999 .

[45]  C. Westen,et al.  An approach towards deterministic landslide hazard analysis in GIS. A case study from Manizales (Colombia) , 1996 .

[46]  P. Gangopadhyay.  Intrafolial folds and associated structures in a progressive strain environment of Darjeeling-Sikkim Himalaya , 1995, Journal of Earth System Science.

[47]  Thomas L. Saaty,et al.  Marketing Applications of the Analytic Hierarchy Process , 1980 .

[48]  A. N. Strahler.  Quantitative analysis of watershed geomorphology , 1957 .

[49]  Zelang Miao,et al.  Application of an Incomplete Landslide Inventory and One Class Classifier to Earthquake-Induced Landslide Susceptibility Mapping , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[50]  M. Mukul,et al.  Virtual field guide for the darjeeling-sikkim himalaya, India , 2014 .

[51]  D. Varnes,et al.  Landslide types and processes , 2004 .

[52]  Fausto Guzzetti,et al.  LANDSLIDE HAZARD ASSESSMENT AND RISK EVALUATION: LIMITS AND PROSPECTIVES , 2022 .