115 citations as recorded by crossref.

1. Landslide susceptibility of Rwanda (Central Africa) C. Panelli et al.
2. SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment A. Abbate & L. Mancusi
3. Evaluation of Landslide Susceptibility Based on CF-SVM in Nujiang Prefecture Y. Li et al.
4. Landslide inventory and susceptibility assessment using multiple statistical approaches along the Karakoram highway, northern Pakistan M. Hussain et al.
5. Spatial and temporal assessment of sustainable development indicators for the China-Pakistan transportation corridor L. Hao et al.
6. Applying a Series and Parallel Model and a Bayesian Networks Model to Produce Disaster Chain Susceptibility Maps in the Changbai Mountain area, China L. Han et al.
7. Landslide mapping and analysis along the China-Pakistan Karakoram Highway based on SBAS-InSAR detection in 2017 X. Su et al.
8. Hazard Assessment of Highway Debris Flows in High-Altitude Mountainous Areas: A Case Study of the Laqi Gully on the China–Pakistan Highway X. Dai et al.
9. Ecotourism potential assessment for Gilgit-Baltistan, Pakistan using integration of GIS, remote sensing, AHP and crowd-sourced data G. Amin et al.
10. Deep Learning and Machine Learning Models for Landslide Susceptibility Mapping with Remote Sensing Data M. Hussain et al.
11. Evaluating landslide hazard in Hunza-Nagar watershed basin, through GIS-based, statistical and machine learning techniques. A. Khan et al.
12. PKLandSeg: Annotation-Guided Hybrid CNN-Vision Transformer for Landslide Segmentation S. Hammad et al.
13. Exploring novel super-learner-based machine learning ensembles for landslide susceptibility prediction with integrated uncertainty quantification S. Dey & S. Das
14. Analysis of Landslide Movements Using Interferometric Synthetic Aperture Radar: A Case Study in Hunza-Nagar Valley, Pakistan M. Rehman et al.
15. Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR X. Su et al.
16. Identifying the essential influencing factors of landslide susceptibility models based on hybrid-optimized machine learning with different grid resolutions: a case of Sino-Pakistani Karakorum Highway J. Wu et al.
17. Análisis de susceptibilidad a deslizamientos empleando el proceso de jerarquía analítica en una carretera Amazónica del Ecuador C. Cargua et al.
18. Evaluation of geological hazard susceptibility based on the multi-kernel density information method Y. Li et al.
19. Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models H. Ahmad et al.
20. Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain M. Riaz et al.
21. Evaluation of coastal areas landscape designs in terms of accessibility with spatial syntax and spatial solution methods: Çanakkale Eski Kordon example E. Sağlık & N. Gür
22. Development of integrated deep learning and machine learning algorithm for the assessment of landslide hazard potential B. Aslam et al.
23. Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique M. Hussain et al.
24. A comparative analysis of attabad landslide on january 4, 2010, using two numerical models H. Gardezi et al.
25. An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptibility Mapping I. Ullah et al.
26. Risk assessment of geohazards along Cheng-Kun railway using fuzzy AHP incorporated into GIS Q. Zheng et al.
27. A review on landslide susceptibility mapping research in Bangladesh M. Chowdhury
28. Quantitative risk assessment of landslides over the China-Pakistan economic corridor M. Chang et al.
29. Effects of the probability of pulse-like ground motions on landslide susceptibility assessment in near-fault areas J. Liu et al.
30. Geospatial assessment of landslide susceptibility in Astor District, Northern Pakistan I. Zardari et al.
31. Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan B. Aslam et al.
32. Temporal and Spatial Geophysical Data Analysis in the Issues of Natural Hazards and Risk Assessment (in Example of North Ossetia, Russia) D. Melkov et al.
33. Development of black ice prediction model using GIS-based multi-sensor model validation S. Hong et al.
34. An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan M. Basharat et al.
35. PS-InSAR-Based Validated Landslide Susceptibility Mapping along Karakorum Highway, Pakistan M. Hussain et al.
36. Improvement of the predictive performance of landslide mapping models in mountainous terrains using cluster sampling M. Riaz et al.
37. Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering Y. Niu et al.
38. A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping Z. Liang et al.
39. Evaluation of critical factors for typhoon-triggered landslide and subsequent debris flow in the Philippines using physically based models J. Christian Gaviola et al.
40. Spatial heterogeneity of rock mass degradation and landslide susceptibility in the fault damage zone, Northwestern Himalayas, Pakistan I. Ahmed et al.
41. Impact of LULC on debris flow using linear aggression model from Gilgit to Khunjerab with emphasis on urban sprawl B. Aslam et al.
42. An integrated landslide susceptibility assessment in the Karakoram Mountains based on SBAS-InSAR and machine learning: a case study of the Hunza Valley X. Su et al.
43. Morphometric analysis of debris flow hazard and risk assessment in the mountain terrains of northern Pakistan using remote sensing and field data N. Shah et al.
44. Application of geographically weighted principal component analysis and fuzzy approach for unsupervised landslide susceptibility mapping on Gish River Basin, India T. Basu et al.
45. InSAR-based deformation analysis around the Qiaoqi reservoir, Baoxing, Southwest China M. Kamran et al.
46. A hybrid deep learning approach for highway landslide susceptibility assessment based on InSAR data J. Wu et al.
47. Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms I. Huqqani et al.
48. Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan H. Ahmad et al.
49. Comprehensive hazard susceptibility assessment in Port Sudan city using AHP: emphasizing flash flood risk, soil moisture, and salinity dynamics A. Daoud et al.
50. Investigation and susceptibility assessment of regional geological hazards along the Karakoram highway, northeast margin of Pamir Plateau J. Liu et al.
51. Optimum Design of Half Tunnels for Transportation in the Himalayas M. Emad et al.
52. The generative adversarial neural network with multi-layers stack ensemble hybrid model for landslide prediction in case of training sample imbalance W. Hussain et al.
53. Stakeholder perspectives on landslide triggers and impacts in five countries S. Tayebi et al.
54. Seamless geospatial data methodology for topographic map: A case study on Baghdad A. Hasan et al.
55. Landslide Susceptibility Assessment of Mauritius Island (Indian Ocean) V. Marsala et al.
56. Integrated Approach for Landslide Risk Assessment Using Geoinformation Tools and Field Data in Hindukush Mountain Ranges, Northern Pakistan N. Shah et al.
57. Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer W. Chen et al.
58. Tackling Data Quality Challenges in Remote Sensing: Solutions for Reliable Urban Heat Island Analysis W. Xia et al.
59. Integrated PSInSAR and SBAS-InSAR analysis for landslide detection and monitoring S. Hussain et al.
60. Evaluation of road blockage induced by seismic landslides under 2021 MS6.4 Yangbi earthquake Y. Wu et al.
61. Landslide susceptibility mapping: improvements in variable weights estimation through machine learning algorithms—a case study of upper Indus River Basin, Pakistan I. Imtiaz et al.
62. Integrating SMART principles in flood early warning system design in the Himalayas S. Dixit et al.
63. Spatiotemporal activity characteristic analysis and hazard assessment of rainfall-induced landslide for the Eurasian continent by considering mountain-hazards developing environment differences D. Cheng et al.
64. Landslide detection and inventory updating using the time-series InSAR approach along the Karakoram Highway, Northern Pakistan S. Hussain et al.
65. An integrated geohazard assessment approach for sustainable small hydropower projects: A case study from the Western Himalayan Syntaxes, Northern Pakistan K. Zada et al.
66. GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria R. Senouci et al.
67. Landslide risk assessment on the China–Pakistan Economic Corridor (CPEC): a comparative study of quantitative and machine learning approaches A. Siddique et al.
68. Experimental observation and geophysical modeling of the hydrological effects on Pleistocene glaciation deposits susceptible to landslide L. Su et al.
69. Integrating GIS and comparative multi-criteria decision-making techniques for landslide susceptibility assessment R. Faisal & Z. Shehab
70. Hydrogeotechnical Predictive Approach for Rockfall Mountain Hazard Using Elastic Modulus and Peak Shear Stress at Soil–Rock Interface in Dry and Wet Phases at KKH Pakistan E. Mehmood et al.
71. Landslide detection and susceptibility mapping using geological and remote sensing data: A case study of Azad Kashmir, NW Sub-Himalayas M. Zeeshan & K. Mirza
72. Modelling of debris-flow susceptibility and propagation: a case study from Northwest Himalaya H. Daud et al.
73. Landslide susceptibility assessment along the Dubair-Dudishal section of the Karakoram Highway, Northwestern Himalayas, Pakistan J. Iqbal et al.
74. Landslide susceptibility mapping with feature fusion transformer and machine learning classifiers incorporating displacement velocity along Karakoram highway Y. Zhou et al.
75. Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region M. Ullah et al.
76. Slope deformation monitoring and early identification of disasters in debris flow source area of Baini River, Dongchuan District, China X. Zhang et al.
77. Spatial footprints of moisture-driven landslides in Western Himalayas from 2007 to 2022 K. Kumari et al.
78. Introducing a geospatial database and GIS techniques as a decision-making tool for multicriteria decision analysis methods in landslides susceptibility assessment C. Nefros & C. Loupasakis
79. Comparison of landslide susceptibility models and their robustness analysis: a case study from the NW Himalayas, Pakistan N. Ikram et al.
80. Multi-sensor deep learning approach for landslide susceptibility mapping under climate and anthropogenic pressures X. Zhang et al.
81. Development and Application of Models for Landslide Hazards in Northern Pakistan T. Akbar et al.
82. Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility mapping of Muzaffarabad district U. Khalil et al.
83. Rockfall susceptibility assessment along M-2 Motorway in Salt Range, Pakistan S. Mahmood et al.
84. Preface: Landslide–transport network interactions F. Taylor et al.
85. Landslide susceptibility mapping along the China Pakistan Economic Corridor (CPEC) route using multi-criteria decision-making method A. Maqsoom et al.
86. Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan S. Hussain et al.
87. Assessing the potential landslide risk identification in the northern section of CPEC route Pakistan based on Multi-Temporal InSAR approaches M. Sajjad et al.
88. Hybrid ensembled machine learning algorithm for landslide susceptibility assessment and data enhancement via Dual Discriminator Conditional Generative Adversarial Network S. Hussain et al.
89. Development of landslide susceptibility maps of Tripura, India using GIS and analytical hierarchy process (AHP) N. Nath et al.
90. Using the analytic hierarchy process and frequency ratio methods for landslide susceptibility mapping in Isparta-Antalya highway (D-685), Turkey K. Hepdeniz
91. Active Landslide Mapping Along the Karakoram Highway Alternate Route in North Pakistan; Implications for the Expansion of China−Pakistan Economic Corridor S. Ahmad et al.
92. SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan I. Kulsoom et al.
93. Landslide hazard zones differentiated according to thematic weighting: Road alignment in North Sikkim Himalayas, India B. Koley et al.
94. Estimating landslide hazard distribution based on machine learning and bivariate statistics in Utmah Region, Yemen Y. Khalil et al.
95. Landslide susceptibility assessment using feature selection-based machine learning models: RF, SVM, and LR applications in Rif, Morocco M. El Brahimi et al.
96. Comparative analysis of analytical hierarchy process (AHP) and frequency ratio (FR) models for landslide susceptibility mapping in Reshun, NW Pakistan M. Ahmad et al.
97. Assessment of Machine Learning Algorithms for Land Cover Classification in a Complex Mountainous Landscape G. Amin et al.
98. Debris flow susceptibility and propagation modeling: a deep learning and flow-R framework M. Khalid et al.
99. Modified “Rockfall Hazard Rating System for Pakistan (RHRSP)”: An Application for Hazard and Risk Assessment along the Karakoram Highway, Northwest Pakistan J. Tanoli et al.
100. Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan B. Aslam et al.
101. A stacked ensemble machine learning technique for landslide susceptibility mapping in Meghalaya, India M. Ado et al.
102. Landslide Susceptibility Mapping Using Machine Learning Algorithm: A Case Study Along Karakoram Highway (KKH), Pakistan M. Hussain et al.
103. A dataset of catalog and characteristics of landslides along the China-Pakistan Karakoram Highway X. SU et al.
104. A Combined Method for Preparation of Landslide Susceptibility Map in Izmir (Türkiye) C. KINCAL & H. KAYHAN
105. Integration of Landslide Susceptibility and Road Infrastructure Vulnerability for Risk Assessment and Mountain Road Resilience Enhancement K. Sharma et al.
106. Comparative analysis and landslide susceptibility mapping of Hunza and Nagar Districts, Pakistan A. Khan et al.
107. Comparative landslide susceptibility assessment using information value and frequency ratio bivariate statistical methods: a case study from Northwestern Himalayas, Jammu and Kashmir, India I. Khan et al.
108. Mapping out AI functions in intelligent disaster (mis)management and AI-caused disasters Y. Pouresmaeil et al.
109. Landslide Distribution and Susceptibility Assessment in NW Pakistan: Insights from Field Observations and Factor Analysis M. Ahmad et al.
110. Mapping Co-seismic Landslide Susceptibility: An Overview of Current and Emerging Methods K. Gupta et al.
111. Landslide hazard assessment using analytic hierarchy process (AHP): A case study of National Highway 5 in India S. Panchal & A. Shrivastava
112. PS-InSAR based validated landslide susceptibility modelling: a case study of Ghizer valley, Northern Pakistan S. Hussain et al.
113. Analysis and Evaluation of Extreme Rainfall Trends and Geological Hazards Risk in the Lower Jinshajiang River X. Bi et al.
114. Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway F. Qing et al.
115. Landslides hazard, vulnerability and risk mapping in the data-poor region of northern Pakistan Y. Ullah et al.