23.2.2.4.3 Landslide Susceptibility, Landslide Risk Analysi

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Landslide Susceptibility. Landslide Risk.

Magliulo, P.[Paolo], di Lisio, A.[Antonio], Russo, F.[Filippo],
Comparison of GIS-based methodologies for the landslide susceptibility assessment,
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Springer DOI 0905
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Pradhan, B.[Biswajeet], Lee, S.[Saro], Buchroithner, M.F.[Manfred F.],
Remote Sensing and GIS-based Landslide Susceptibility Analysis and its Cross-validation in Three Test Areas Using a Frequency Ratio Model,
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Rauste, Y., Lateh, H.B., Jefriza,, Mohd, M.W.I.W.[M. W. I. Wan], Lonnqvist, A., Hame, T.,
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Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design,
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DOI Link 1310
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Chalkias, C.[Christos], Ferentinou, M.[Maria], Polykretis, C.[Christos],
GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method,
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DOI Link 1405
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Yin, L.Z.[Ling-Zhi], Zhu, J.[Jun], Li, Y.[Yi], Zeng, C.[Chao], Zhu, Q.[Qing], Qi, H.[Hua], Liu, M.W.[Ming-Wei], Li, W.[Weilian], Cao, Z.Y.[Zhen-Yu], Yang, W.J.[Wei-Jun], Zhang, P.C.[Peng-Cheng],
A Virtual Geographic Environment for Debris Flow Risk Analysis in Residential Areas,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Ba, Q.Q.[Qian-Qian], Chen, Y.M.[Yu-Min], Deng, S.[Susu], Wu, Q.J.[Qian-Jiao], Yang, J.X.[Jia-Xin], Zhang, J.Y.[Jing-Yi],
An Improved Information Value Model Based on Gray Clustering for Landslide Susceptibility Mapping,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Deng, X.L.[Xiao-Long], Li, L.H.[Li-Hui], Tan, Y.F.[Yu-Fang],
Validation of Spatial Prediction Models for Landslide Susceptibility Mapping by Considering Structural Similarity,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
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Park, H.J.[Hyuck-Jin], Jang, J.Y.[Jung-Yoon], Lee, J.H.[Jung-Hyun],
Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
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Shrestha, S.[Suchita], Kang, T.S.[Tae-Seob], Suwal, M.K.[Madan Krishna],
An Ensemble Model for Co-Seismic Landslide Susceptibility Using GIS and Random Forest Method,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Merghadi, A.[Abdelaziz], Abderrahmane, B.[Boumezbeur], Bui, D.T.[Dieu Tien],
Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Kadavi, P.R.[Prima Riza], Lee, C.W.[Chang-Wook], Lee, S.[Saro],
Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Liu, C.C.[Cheng-Chien], Luo, W.[Wei], Chung, H.W.[Hsiao-Wei], Yin, H.Y.[Hsiao-Yuan], Yan, K.W.[Ke-Wei],
Influences of the Shadow Inventory on a Landslide Susceptibility Model,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Capitani, M.[Marco], Ribolini, A.[Adriano], Bini, M.[Monica],
Susceptibility to Translational Slide-Type Landslides: Applicability of the Main Scarp Upper Edge as a Dependent Variable Representation by Reduced Chi-Square Analysis,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Si, A.[Alu], Zhang, J.[Jiquan], Tong, S.[Siqin], Lai, Q.[Quan], Wang, R.[Rui], Li, N.[Na], Bao, Y.B.[Yong-Bin],
Regional Landslide Identification Based on Susceptibility Analysis and Change Detection,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Kang, K.[Kai], Ponomarev, A.[Andrey], Zerkal, O.[Oleg], Huang, S.[Shiyuan], Lin, Q.[Qigen],
Shallow Landslide Susceptibility Mapping in Sochi Ski-Jump Area Using GIS and Numerical Modelling,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
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Arabameri, A.[Alireza], Pradhan, B.[Biswajeet], Rezaei, K.[Khalil], Lee, C.W.[Chang-Wook],
Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-Based FR-RF Integrated Model and Multiresolution DEMs,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Zhang, Y.[Yichi], Yue, P.[Pan], Zhang, G.[Guike], Guan, T.[Tao], Lv, M.M.[Ming-Ming], Zhong, D.[Denghua],
Augmented Reality Mapping of Rock Mass Discontinuities and Rockfall Susceptibility Based on Unmanned Aerial Vehicle Photogrammetry,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
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Li, H.F.[Hui-Fang], Chen, Y.M.[Yu-Min], Deng, S.[Susu], Chen, M.[Meijie], Fang, T.[Tao], Tan, H.Y.[Huang-Yuan],
Eigenvector Spatial Filtering-Based Logistic Regression for Landslide Susceptibility Assessment,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Lai, J.S.[Jhe-Syuan], Chiang, S.H.[Shou-Hao], Tsai, F.[Fuan],
Exploring Influence of Sampling Strategies on Event-Based Landslide Susceptibility Modeling,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Mutlu, B.[Begum], Nefeslioglu, H.A.[Hakan A.], Sezer, E.A.[Ebru A.], Akcayol, M.A.[M. Ali], Gokceoglu, C.[Candan],
An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Saleem, N.[Nayyer], Huq, M.E.[Md. Enamul], Twumasi, N.Y.D.[Nana Yaw Danquah], Javed, A.[Akib], Sajjad, A.[Asif],
Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

del Soldato, M.[Matteo], Solari, L.[Lorenzo], Poggi, F.[Francesco], Raspini, F.[Federico], Tomás, R.[Roberto], Fanti, R.[Riccardo], Casagli, N.[Nicola],
Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Fan, R.[Runyu], Wang, L.Z.[Li-Zhe], Yan, J.N.[Ji-Ning], Song, W.J.[Wei-Jing], Zhu, Y.Q.[Ying-Qian], Chen, X.D.[Xiao-Dao],
Deep Learning-Based Named Entity Recognition and Knowledge Graph Construction for Geological Hazards,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Chang, Z.[Zhilu], Du, Z.[Zhen], Zhang, F.[Fan], Huang, F.[Faming], Chen, J.[Jiawu], Li, W.B.[Wen-Bin], Guo, Z.Z.[Zi-Zheng],
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Huang, F.[Faming], Chen, J.[Jiawu], Du, Z.[Zhen], Yao, C.[Chi], Huang, J.S.[Jin-Song], Jiang, Q.H.[Qing-Hui], Chang, Z.[Zhilu], Li, S.[Shu],
Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Arabameri, A.[Alireza], Saha, S.I.[Sun-Il], Roy, J.[Jagabandhu], Chen, W.[Wei], Blaschke, T.[Thomas], Bui, D.T.[Dieu Tien],
Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Maxwell, A.E.[Aaron E.], Sharma, M.[Maneesh], Kite, J.S.[James S.], Donaldson, K.A.[Kurt A.], Thompson, J.A.[James A.], Bell, M.L.[Matthew L.], Maynard, S.M.[Shannon M.],
Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Shirvani, Z.[Zeinab],
A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Qin, Y.X.[Yu-Xiao], Hoppe, E.[Edward], Perissin, D.[Daniele],
Slope Hazard Monitoring Using High-Resolution Satellite Remote Sensing: Lessons Learned from a Case Study,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Chen, L.Q.[Li-Quan], Zhao, C.Y.[Chao-Ying], Kang, Y.[Ya], Chen, H.Y.[Heng-Yi], Yang, C.S.[Cheng-Sheng], Li, B.[Bin], Liu, Y.Y.[Yuan-Yuan], Xing, A.[Aiguo],
Pre-Event Deformation and Failure Mechanism Analysis of the Pusa Landslide, China with Multi-Sensor SAR Imagery,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Wang, G.R.[Gui-Rong], Chen, X.[Xi], Chen, W.[Wei],
Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Qi, L.[Lin], Tan, W.X.[Wei-Xian], Huang, P.P.[Ping-Ping], Xu, W.[Wei], Qi, Y.L.[Yao-Long], Zhang, M.Z.[Ming-Zhi],
Landslide Prediction Method Based on a Ground-Based Micro-Deformation Monitoring Radar,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
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Zhang, M.M.[Ming-Mei], Xue, Y.A.[Yong-An], Ge, Y.H.[Yong-Hui], Zhao, J.L.[Jin-Ling],
Watershed Segmentation Algorithm Based on Luv Color Space Region Merging for Extracting Slope Hazard Boundaries,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Senanayake, S.[Sumudu], Pradhan, B.[Biswajeet], Huete, A.[Alfredo], Brennan, J.[Jane],
Assessing Soil Erosion Hazards Using Land-Use Change and Landslide Frequency Ratio Method: A Case Study of Sabaragamuwa Province, Sri Lanka,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Luti, T.[Tania], Segoni, S.[Samuele], Catani, F.[Filippo], Munafò, M.[Michele], Casagli, N.[Nicola],
Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Felice, P.D.[Paolino Di],
Ranking of Assets with Respect to Their Exposure to the Landslide Hazard: A GIS Proposal,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Kalantar, B.[Bahareh], Ueda, N.[Naonori], Saeidi, V.[Vahideh], Ahmadi, K.[Kourosh], Halin, A.A.[Alfian Abdul], Shabani, F.[Farzin],
Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006

See also Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data. BibRef

Canavesi, V.[Vanessa], Segoni, S.[Samuele], Rosi, A.[Ascanio], Ting, X.[Xiao], Nery, T.[Tulius], Catani, F.[Filippo], Casagli, N.[Nicola],
Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-Scale Spatial Units: A Case Study in Rio de Janeiro (Brazil),
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Melis, M.T.[Maria Teresa], Pelo, S.D.[Stefania Da], Erbì, I.[Ivan], Loche, M.[Marco], Deiana, G.[Giacomo], Demurtas, V.[Valentino], Meloni, M.A.[Mattia Alessio], Dessì, F.[Francesco], Funedda, A.[Antonio], Scaioni, M.[Marco], Scaringi, G.[Gianvito],
Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Moharrami, M.[Meisam], Naboureh, A.[Amin], Nachappa, T.G.[Thimmaiah Gudiyangada], Ghorbanzadeh, O.[Omid], Guan, X.D.[Xu-Dong], Blaschke, T.[Thomas],
National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Daniela, R.[Ruberti], Ermanno, M.[Marino], Antonio, P.[Pignalosa], Pasquale, R.[Romano], Marco, V.[Vigliotti],
Assessment of Tuff Sea Cliff Stability Integrating Geological Surveys and Remote Sensing. Case History from Ventotene Island (Southern Italy),
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Lei, X.X.[Xin-Xiang], Chen, W.[Wei], Pham, B.T.[Binh Thai],
Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Litoseliti, A.[Aspasia], Koukouvelas, I.K.[Ioannis K.], Nikolakopoulos, K.G.[Konstantinos G.], Zygouri, V.[Vasiliki],
An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Zhao, X.[Xia], Chen, W.[Wei],
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Rabby, Y.W.[Yasin Wahid], Ishtiaque, A.[Asif], Rahman, M.S.[Md. Shahinoor],
Evaluating the Effects of Digital Elevation Models in Landslide Susceptibility Mapping in Rangamati District, Bangladesh,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Qing, F.[Feng], Zhao, Y.[Yan], Meng, X.M.[Xing-Min], Su, X.J.[Xiao-Jun], Qi, T.J.[Tian-Jun], Yue, D.X.[Dong-Xia],
Application of Machine Learning to Debris Flow Susceptibility Mapping along the China-Pakistan Karakoram Highway,
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DOI Link 2009
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Psomiadis, E.[Emmanouil], Charizopoulos, N.[Nikos], Efthimiou, N.[Nikolaos], Soulis, K.X.[Konstantinos X.], Charalampopoulos, I.[Ioannis],
Earth Observation and GIS-Based Analysis for Landslide Susceptibility and Risk Assessment,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Akinci, H.[Halil], Kilicoglu, C.[Cem], Dogan, S.[Sedat],
Random Forest-Based Landslide Susceptibility Mapping in Coastal Regions of Artvin, Turkey,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
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Žabota, B.[Barbara], Kobal, M.[Milan],
A New Methodology for Mapping Past Rockfall Events: From Mobile Crowdsourcing to Rockfall Simulation Validation,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link 2009
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Adnan, M.S.G.[Mohammed Sarfaraz Gani], Rahman, M.S.[Md Salman], Ahmed, N.[Nahian], Ahmed, B.[Bayes], Rabbi, M.F.[Md. Fazleh], Rahman, R.M.[Rashedur M.],
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Arabameri, A.[Alireza], Karimi-Sangchini, E.[Ebrahim], Pal, S.C.[Subodh Chandra], Saha, A.[Asish], Chowdhuri, I.[Indrajit], Lee, S.[Saro], Bui, D.T.[Dieu Tien],
Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Kadirhodjaev, A.[Azam], Rezaie, F.[Fatemeh], Lee, M.J.[Moung-Jin], Lee, S.[Saro],
Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
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Pradhan, A.M.S.[Ananta Man Singh], Kim, Y.T.[Yun-Tae],
Rainfall-Induced Shallow Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced Machine Learning Algorithms,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
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Ghorbanzadeh, O.[Omid], Didehban, K.[Khalil], Rasouli, H.[Hamid], Kamran, K.V.[Khalil Valizadeh], Feizizadeh, B.[Bakhtiar], Blaschke, T.[Thomas],
An Application of Sentinel-1, Sentinel-2, and GNSS Data for Landslide Susceptibility Mapping,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
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Zhang, Y.[Yang], Wu, W.C.[Wei-Cheng], Qin, Y.Z.[Yao-Zu], Lin, Z.Y.[Zi-Yu], Zhang, G.L.[Gui-Liang], Chen, R.X.[Ren-Xiang], Song, Y.[Yong], Lang, T.[Tao], Zhou, X.T.[Xiao-Ting], Huangfu, W.C.[Wen-Chao], Ou, P.H.[Peng-Hui], Xie, L.F.[Li-Feng], Huang, X.L.[Xiao-Lan], Peng, S.L.[Shan-Ling], Shao, C.J.[Chong-Jian],
Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Chen, W.[Wei], Chen, Y.Z.[Yun-Zhi], Tsangaratos, P.[Paraskevas], Ilia, I.[Ioanna], Wang, X.J.[Xiao-Jing],
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Tseng, C.W.[Chun-Wei], Song, C.E.[Cheng-En], Wang, S.F.[Su-Fen], Chen, Y.C.[Yi-Chin], Tu, J.Y.[Jien-Yi], Yang, C.J.[Ci-Jian], Chuang, C.W.[Chih-Wei],
Application of High-Resolution Radar Rain Data to the Predictive Analysis of Landslide Susceptibility under Climate Change in the Laonong Watershed, Taiwan,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Perrotti, M.[Michele], Godone, D.[Danilo], Allasia, P.[Paolo], Baldo, M.[Marco], Fazio, N.L.[Nunzio Luciano], Lollino, P.[Piernicola],
Investigating the Susceptibility to Failure of a Rock Cliff by Integrating Structure-from-Motion Analysis and 3D Geomechanical Modelling,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Kovanic, L.[Ludovít], Blistan, P.[Peter], Urban, R.[Rudolf], Štroner, M.[Martin], Blištanová, M.[Monika], Bartoš, K.[Karol], Pukanská, K.[Katarína],
Analysis of the Suitability of High-Resolution DEM Obtained Using ALS and UAS (SfM) for the Identification of Changes and Monitoring the Development of Selected Geohazards in the Alpine Environment: A Case Study in High Tatras, Slovakia,
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Li, W.B.[Wen-Bin], Fan, X.M.[Xuan-Mei], Huang, F.[Faming], Chen, W.[Wei], Hong, H.Y.[Hao-Yuan], Huang, J.S.[Jin-Song], Guo, Z.Z.[Zi-Zheng],
Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Chen, W.[Wei], Sun, Z.[Zenghui], Zhao, X.[Xia], Lei, X.[Xinxiang], Shirzadi, A.[Ataollah], Shahabi, H.[Himan],
Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
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Lyimo, N.N.[Neema Nicodemus], Shao, Z.[Zhenfeng], Ally, A.M.[Ally Mgelwa], Twumasi, N.Y.D.[Nana Yaw Danquah], Altan, O.[Orhan], Sanga, C.A.[Camilius A.],
A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
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Fang, Z.[Zhice], Wang, Y.[Yi], Duan, G.[Gonghao], Peng, L.[Ling],
Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Skrzypczak, I.[Izabela], Kokoszka, W.[Wanda], Zientek, D.[Dawid], Tang, Y.J.[Yong-Jing], Kogut, J.[Janusz],
Landslide Hazard Assessment Map as an Element Supporting Spatial Planning: The Flysch Carpathians Region Study,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Jones, L.[Lee], Hobbs, P.[Peter],
The Application of Terrestrial LiDAR for Geohazard Mapping, Monitoring and Modelling in the British Geological Survey,
RS(13), No. 3, 2021, pp. xx-yy.
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Barbosa, N.[Natalie], Andreani, L.[Louis], Gloaguen, R.[Richard], Ratschbacher, L.[Lothar],
Window-Based Morphometric Indices as Predictive Variables for Landslide Susceptibility Models,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Xie, W.[Wei], Li, X.S.[Xiao-Shuang], Jian, W.B.[Wen-Bin], Yang, Y.[Yang], Liu, H.W.[Hong-Wei], Robledo, L.F.[Luis F.], Nie, W.[Wen],
A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link 2103
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Wang, X.L.[Xue-Liang], Liu, H.Y.[Hai-Yang], Sun, J.J.[Juan-Juan],
A New Approach for Identification of Potential Rockfall Source Areas Controlled by Rock Mass Strength at a Regional Scale,
RS(13), No. 5, 2021, pp. xx-yy.
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Khan, M.W.[Muhammad Waqas], Dunning, S.[Stuart], Bainbridge, R.[Rupert], Martin, J.[James], Diaz-Moreno, A.[Alejandro], Torun, H.[Hamdi], Jin, N.[Nanlin], Woodward, J.[John], Lim, M.[Michael],
Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery,
RS(13), No. 5, 2021, pp. xx-yy.
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Liu, Y.[Yimo], Zhang, W.C.[Wan-Chang], Zhang, Z.J.[Zhi-Jie], Xu, Q.[Qiang], Li, W.[Weile],
Risk Factor Detection and Landslide Susceptibility Mapping Using Geo-Detector and Random Forest Models: The 2018 Hokkaido Eastern Iburi Earthquake,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Batar, A.K.[Amit Kumar], Watanabe, T.[Teiji],
Landslide Susceptibility Mapping and Assessment Using Geospatial Platforms and Weights of Evidence (WoE) Method in the Indian Himalayan Region: Recent Developments, Gaps, and Future Directions,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Nefeslioglu, H.A.[Hakan A.], Tavus, B.[Beste], Er, M.[Melahat], Ertugrul, G.[Gamze], Ozdemir, A.[Aybuke], Kaya, A.[Alperen], Kocaman, S.[Sultan],
Integration of an InSAR and ANN for Sinkhole Susceptibility Mapping: A Case Study from Kirikkale-Delice (Turkey),
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Loche, M.[Marco], Scaringi, G.[Gianvito], Blahut, J.[Jan], Melis, M.T.[Maria Teresa], Funedda, A.[Antonio], da Pelo, S.[Stefania], Erbì, I.[Ivan], Deiana, G.[Giacomo], Meloni, M.A.[Mattia Alessio], Cocco, F.[Fabrizio],
An Infrared Thermography Approach to Evaluate the Strength of a Rock Cliff,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
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Miele, P.[Pietro], di Napoli, M.[Mariano], Guerriero, L.[Luigi], Ramondini, M.[Massimo], Sellers, C.[Chester], Corona, M.A.[Mariagiulia Annibali], di Martire, D.[Diego],
Landslide Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca-Ecuador),
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Liang, Z.[Zhu], Wang, C.M.[Chang-Ming], Duan, Z.J.[Zhi-Jie], Liu, H.L.[Hai-Liang], Liu, X.Y.[Xiao-Yang], Khan, K.U.J.[Kaleem Ullah Jan],
A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Wang, Y.B.[Yun-Biao], Xu, S.B.[Shi-Biao], Xiao, J.[Jun], Wang, F.P.[Fei-Peng], Wang, Y.[Ying], Liu, L.P.[Lu-Peng],
Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds via Multiscale and Multiview Convolutional Feature Representation,
GeoRS(59), No. 5, May 2021, pp. 4430-4443.
IEEE DOI 2104
Feature extraction, Rocks, Vegetation mapping, Surface morphology, Lasers, point clouds labeling BibRef

Yu, D.B.[Dong-Bo], Xiao, J.[Jun], Wang, Y.[Ying],
Efficient Lightweight Surface Reconstruction Method from Rock-Mass Point Clouds,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
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Tseng, C.M.[Chih-Ming], Chen, Y.R.[Yie-Ruey], Chang, C.M.[Chwen-Ming], Chue, Y.S.[Yung-Sheng], Hsieh, S.C.[Shun-Chieh],
Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

He, L.F.[Ling-Feng], Coggan, J.[John], Francioni, M.[Mirko], Eyre, M.[Matthew],
Maximizing Impacts of Remote Sensing Surveys in Slope Stability: A Novel Method to Incorporate Discontinuities into Machine Learning Landslide Prediction,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zheng, X.X.[Xiang-Xiang], He, G.J.[Guo-Jin], Wang, S.S.[Shan-Shan], Wang, Y.[Yi], Wang, G.Z.[Gui-Zhou], Yang, Z.Y.[Zhao-Ying], Yu, J.C.[Jun-Chuan], Wang, N.[Ning],
Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Maxwell, A.E.[Aaron E.], Sharma, M.[Maneesh], Kite, J.S.[J. Steven], Donaldson, K.A.[Kurt A.], Maynard, S.M.[Shannon M.], Malay, C.M.[Caleb M.],
Assessing the Generalization of Machine Learning-Based Slope Failure Prediction to New Geographic Extents,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Weidner, L.[Luke], Walton, G.[Gabriel], Krajnovich, A.[Ashton],
Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features,
PandRS(176), 2021, pp. 15-29.
Elsevier DOI 2106
Photogrammetry, Semantic segmentation, Rock slope monitoring, Color, Feature selection BibRef

Yang, X.[Xin], Liu, R.[Rui], Yang, M.[Mei], Chen, J.J.[Jing-Jue], Liu, T.Q.[Tian-Qiang], Yang, Y.T.[Yuan-Tao], Chen, W.[Wei], Wang, Y.[Yuting],
Incorporating Landslide Spatial Information and Correlated Features among Conditioning Factors for Landslide Susceptibility Mapping,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Luo, S.[Shiyu], Sarabandi, K.[Kamal], Tong, L.[Ling], Pierce, L.E.[Leland E.],
Probability Assessment of Rainfall-Induced Landslides Based on Safety Factors Using Soil Moisture Estimation From SAR Images,
GeoRS(59), No. 7, July 2021, pp. 5579-5597.
IEEE DOI 2106
Landslides, Synthetic aperture radar, Stability analysis, Soil moisture, Data models, Vegetation mapping, Radar polarimetry, synthetic aperture radar (SAR) BibRef

Arma?, I.[Iuliana], Gheorghe, M.[Mihaela], Silva?, G.C.[George Catalin],
Shallow Landslides Physically Based Susceptibility Assessment Improvement Using InSAR. Case Study: Carpathian and Subcarpathian Prahova Valley, Romania,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Guo, X.Y.[Xin-Yi], Fu, B.H.[Bi-Hong], Du, J.[Jie], Shi, P.[Pilong], Chen, Q.Y.[Qing-Yu], Zhang, W.Y.[Wen-Yuan],
Applicability of Susceptibility Model for Rock and Loess Earthquake Landslides in the Eastern Tibetan Plateau,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Wang, Y.[Yue], Wen, H.[Haijia], Sun, D.L.[De-Liang], Li, Y.[Yuechen],
Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Al-Najjar, H.A.H.[Husam A. H.], Pradhan, B.[Biswajeet], Kalantar, B.[Bahareh], Sameen, M.I.[Maher Ibrahim], Santosh, M., Alamri, A.[Abdullah],
Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Li, J.F.[Jiang-Feng], Stankovic, L.[Lina], Pytharouli, S.[Stella], Stankovic, V.[Vladimir],
Automated Platform for Microseismic Signal Analysis: Denoising, Detection, and Classification in Slope Stability Studies,
GeoRS(59), No. 9, September 2021, pp. 7996-8006.
IEEE DOI 2109
Landslides, Noise reduction, Signal processing algorithms, Benchmark testing, Soil, Signal processing, Feature extraction, graph Laplacian regularization (GLR) classification BibRef

Giano, S.I.[Salvatore Ivo], Pescatore, E.[Eva], Siervo, V.[Vincenzo],
Morphometry and Debris-Flow Susceptibility Map in Mountain Drainage Basins of the Vallo di Diano, Southern Italy,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Gallo, I.G.[Ilenia G.], Martínez-Corbella, M.[Mónica], Sarro, R.[Roberto], Iovine, G.[Giulio], López-Vinielles, J.[Juan], Hérnandez, M.[Mario], Robustelli, G.[Gaetano], Mateos, R.M.[Rosa María], García-Davalillo, J.C.[Juan Carlos],
An Integration of UAV-Based Photogrammetry and 3D Modelling for Rockfall Hazard Assessment: The Cárcavos Case in 2018 (Spain),
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Luo, S.[Shuran], Feng, G.C.[Guang-Cai], Xiong, Z.Q.[Zhi-Qiang], Wang, H.Y.[Hai-Yan], Zhao, Y.[Yinggang], Li, K.[Kaifeng], Deng, K.[Kailiang], Wang, Y.[Yuexin],
An Improved Method for Automatic Identification and Assessment of Potential Geohazards Based on MT-InSAR Measurements,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Moretto, S.[Serena], Bozzano, F.[Francesca], Mazzanti, P.[Paolo],
The Role of Satellite InSAR for Landslide Forecasting: Limitations and Openings,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Gantimurova, S.[Svetlana], Parshin, A.[Alexander], Erofeev, V.[Vladimir],
GIS-Based Landslide Susceptibility Mapping of the Circum-Baikal Railway in Russia Using UAV Data,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Shu, H.P.[He-Ping], Guo, Z.Z.[Zi-Zheng], Qi, S.[Shi], Song, D.Q.[Dan-Qing], Pourghasemi, H.R.[Hamid Reza], Ma, J.C.[Jia-Cheng],
Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Kong, C.F.[Chun-Fang], Tian, Y.P.[Yi-Ping], Ma, X.G.[Xiao-Gang], Weng, Z.P.[Zheng-Ping], Zhang, Z.T.[Zhi-Ting], Xu, K.[Kai],
Landslide Susceptibility Assessment Based on Different Machine Learning Methods in Zhaoping County of Eastern Guangxi,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Panchal, S.[Sandeep], Shrivastava, A.K.[Amit K.],
A Comparative Study of Frequency Ratio, Shannon's Entropy and Analytic Hierarchy Process (AHP) Models for Landslide Susceptibility Assessment,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Hussain, M.A.[Muhammad Afaq], Chen, Z.[Zhanlong], Wang, R.[Run], Shoaib, M.[Muhammad],
PS-InSAR-Based Validated Landslide Susceptibility Mapping along Karakorum Highway, Pakistan,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Hu, H.[Han], Wang, C.M.[Chang-Ming], Liang, Z.[Zhu], Gao, R.Y.[Rui-Yuan], Li, B.L.[Bai-Long],
Exploring Complementary Models Consisting of Machine Learning Algorithms for Landslide Susceptibility Mapping,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Xu, S.H.[Sheng-Hua], Zhang, M.[Meng], Ma, Y.[Yu], Liu, J.P.[Ji-Ping], Wang, Y.[Yong], Ma, X.R.[Xin-Rui], Chen, J.[Jie],
Multiclassification Method of Landslide Risk Assessment in Consideration of Disaster Levels: A Case Study of Xianyang City, Shaanxi Province,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
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Coco, L.[Laura], Macrini, D.[Debora], Piacentini, T.[Tommaso], Buccolini, M.[Marcello],
Landslide Susceptibility Mapping by Comparing GIS-Based Bivariate Methods: A Focus on the Geomorphological Implication of the Statistical Results,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Ramos-Bernal, R.N.[Rocío N.], Vázquez-Jiménez, R.[René], Cantú-Ramírez, C.A.[Claudia A.], Alarcón-Paredes, A.[Antonio], Alonso-Silverio, G.A.[Gustavo A.], Bruzón, A.G.[Adrián G.], Arrogante-Funes, F.[Fátima], Martín-González, F.[Fidel], Novillo, C.J.[Carlos J.], Arrogante-Funes, P.[Patricia],
Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using Machine Learning (ML) Algorithms,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Pradhan, B.[Biswajeet], Sameen, M.I.[Maher Ibrahim], Al-Najjar, H.A.H.[Husam A. H.], Sheng, D.[Daichao], Alamri, A.M.[Abdullah M.], Park, H.J.[Hyuck-Jin],
A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Rong, G.Z.[Guang-Zhi], Li, K.[Kaiwei], Su, Y.L.[Yu-Lin], Tong, Z.J.[Zhi-Jun], Liu, X.P.[Xing-Peng], Zhang, J.[Jiquan], Zhang, Y.C.[Yi-Chen], Li, T.T.[Tian-Tao],
Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Weidner, L.[Luke], Walton, G.[Gabriel],
Monitoring the Effects of Slope Hazard Mitigation and Weather on Rockfall along a Colorado Highway Using Terrestrial Laser Scanning,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Kavzoglu, T.[Taskin], Teke, A.[Alihan], Yilmaz, E.O.[Elif Ozlem],
Shared Blocks-Based Ensemble Deep Learning for Shallow Landslide Susceptibility Mapping,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
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Liu, S.H.[Shu-Hao], Yin, K.L.[Kun-Long], Zhou, C.[Chao], Gui, L.[Lei], Liang, X.[Xin], Lin, W.[Wei], Zhao, B.B.[Bin-Bin],
Susceptibility Assessment for Landslide Initiated along Power Transmission Lines,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Liu, R.[Ru], Peng, J.B.[Jian-Bing], Leng, Y.Q.[Yan-Qiu], Lee, S.[Saro], Panahi, M.[Mahdi], Chen, W.[Wei], Zhao, X.[Xia],
Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Loiotine, L.[Lidia], Andriani, G.F.[Gioacchino Francesco], Jaboyedoff, M.[Michel], Parise, M.[Mario], Derron, M.H.[Marc-Henri],
Comparison of Remote Sensing Techniques for Geostructural Analysis and Cliff Monitoring in Coastal Areas of High Tourist Attraction: The Case Study of Polignano a Mare (Southern Italy),
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Hu, J.Y.[Ji-Yuan], Motagh, M.[Mahdi], Wang, J.Y.[Jia-Yao], Qin, F.[Fen], Zhang, J.C.[Jian-Chen], Wu, W.H.[Wen-Hao], Han, Y.[Yakun],
Karst Collapse Risk Zonation and Evaluation in Wuhan, China Based on Analytic Hierarchy Process, Logistic Regression, and InSAR Angular Distortion Approaches,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Maxwell, A.E.[Aaron E.], Sharma, M.[Maneesh], Donaldson, K.A.[Kurt A.],
Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, X.[Xuan], Zhu, C.[Chun], He, M.[Manchao], Dong, M.L.[Meng-Long], Zhang, G.[Guangcheng], Zhang, F.[Faming],
Failure Mechanism and Long Short-Term Memory Neural Network Model for Landslide Risk Prediction,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Zhao, P.X.[Peng-Xiang], Masoumi, Z.[Zohreh], Kalantari, M.[Maryam], Aflaki, M.[Mahtab], Mansourian, A.[Ali],
A GIS-Based Landslide Susceptibility Mapping and Variable Importance Analysis Using Artificial Intelligent Training-Based Methods,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Liu, R.[Rui], Yang, X.[Xin], Xu, C.[Chong], Wei, L.S.[Liang-Shuai], Zeng, X.Q.[Xiang-Qiang],
Comparative Study of Convolutional Neural Network and Conventional Machine Learning Methods for Landslide Susceptibility Mapping,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Jiang, Y.[Yanan], Luo, H.Y.[Hui-Yuan], Xu, Q.[Qiang], Lu, Z.[Zhong], Liao, L.[Lu], Li, H.[Huajin], Hao, L.[Lina],
A Graph Convolutional Incorporating GRU Network for Landslide Displacement Forecasting Based on Spatiotemporal Analysis of GNSS Observations,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Lizama, E.[Elizabet], Morales, B.[Bastian], Somos-Valenzuela, M.[Marcelo], Chen, N.[Ningsheng], Liu, M.[Mei],
Understanding Landslide Susceptibility in Northern Chilean Patagonia: A Basin-Scale Study Using Machine Learning and Field Data,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Rabby, Y.W.[Yasin Wahid], Li, Y.[Yingkui], Abedin, J.[Joynal], Sabrina, S.[Sabiha],
Impact of Land Use/Land Cover Change on Landslide Susceptibility in Rangamati Municipality of Rangamati District, Bangladesh,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Jiang, H.[Hu], Zou, Q.[Qiang], Zhou, B.[Bin], Hu, Z.[Zhenru], Li, C.[Cong], Yao, S.[Shunyu], Yao, H.[Hongkun],
Susceptibility Assessment of Debris Flows Coupled with Ecohydrological Activation in the Eastern Qinghai-Tibet Plateau,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Vanneschi, C.[Claudio], Rindinella, A.[Andrea], Salvini, R.[Riccardo],
Hazard Assessment of Rocky Slopes: An Integrated Photogrammetry-GIS Approach Including Fracture Density and Probability of Failure Data,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Sun, X.H.[Xiao-Hui], Chen, J.P.[Jian-Ping], Li, Y.R.[Yan-Rong], Rene, N.N.[Ngambua N.],
Landslide Susceptibility Mapping along a Rapidly Uplifting River Valley of the Upper Jinsha River, Southeastern Tibetan Plateau, China,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Miklin, L.[Luka], Podolszki, L.[Laszlo], Gulam, V.[Vlatko], Markotic, I.[Ivan],
The Impact of Climate Changes on Slope Stability and Landslide Conditioning Factors: An Example from Kravarsko, Croatia,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Liang, J.T.[Jing-Tao], Dong, J.H.[Ji-Hong], Zhang, S.[Su], Zhao, C.[Cong], Liu, B.[Bin], Yang, L.[Lei], Yan, S.W.[Sheng-Wu], Ma, X.B.[Xiao-Bo],
Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Sur, U.[Ujjwal], Singh, P.[Prafull], Meena, S.R.[Sansar Raj], Singh, T.N.[Trilok Nath],
Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Liu, W.C.[Wang-Cai], Zhang, Y.[Yi], Liang, Y.[Yiwen], Sun, P.P.[Ping-Ping], Li, Y.[Yuanxi], Su, X.J.[Xiao-Jun], Wang, A.[Aijie], Meng, X.[Xingmin],
Landslide Risk Assessment Using a Combined Approach Based on InSAR and Random Forest,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Cheng, J.Y.[Jun-Ying], Dai, X.[Xiaoai], Wang, Z.K.[Ze-Kun], Li, J.Z.[Jing-Zhong], Qu, G.[Ge], Li, W.[Weile], She, J.X.[Jin-Xing], Wang, Y.L.[You-Lin],
Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ding, Q.[Qing], Wang, F.Y.[Feng-Yan], Chen, J.P.[Jian-Ping], Wang, M.C.[Ming-Chang], Zhang, X.Q.[Xu-Qing],
Research on Generalized RQD of Rock Mass Based on 3D Slope Model Established by Digital Close-Range Photogrammetry,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yao, K.Z.[Ke-Zhen], Yang, S.[Saini], Wu, S.N.[Sheng-Nan], Tong, B.[Bin],
Landslide Susceptibility Assessment Considering Spatial Agglomeration and Dispersion Characteristics: A Case Study of Bijie City in Guizhou Province, China,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Xun, Z.Y.[Zhang-Yuan], Zhao, C.Y.[Chao-Ying], Kang, Y.[Ya], Liu, X.J.[Xiao-Jie], Liu, Y.Y.[Yuan-Yuan], Du, C.[Chengyan],
Automatic Extraction of Potential Landslides by Integrating an Optical Remote Sensing Image with an InSAR-Derived Deformation Map,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Xia, D.[Ding], Tang, H.M.[Hui-Ming], Sun, S.[Sixuan], Tang, C.Y.[Chun-Yan], Zhang, B.[Bocheng],
Landslide Susceptibility Mapping Based on the Germinal Center Optimization Algorithm and Support Vector Classification,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Chang, L.[Lili], Zhang, R.[Rui], Wang, C.S.[Chun-Sheng],
Evaluation and Prediction of Landslide Susceptibility in Yichang Section of Yangtze River Basin Based on Integrated Deep Learning Algorithm,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Xiong, Y.B.[Yi-Bing], Zhou, Y.[Yi], Wang, F.[Futao], Wang, S.X.[Shi-Xin], Wang, Z.Q.[Zhen-Qing], Ji, J.[Jianwan], Wang, J.[Jingming], Zou, W.J.[Wei-Jie], You, D.[Di], Qin, G.[Gang],
A Novel Intelligent Method Based on the Gaussian Heatmap Sampling Technique and Convolutional Neural Network for Landslide Susceptibility Mapping,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Xu, L.L.[Li-Li], Chen, C.L.P.[C. L. Philip], Qing, F.[Feng], Meng, X.M.[Xing-Min], Zhao, Y.[Yan], Qi, T.J.[Tian-Jun], Miao, T.Y.[Tian-Yao],
Graph-Represented Broad Learning System for Landslide Susceptibility Mapping in Alpine-Canyon Region,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Ageenko, A.[Angelina], Hansen, L.C.[Lærke Christina], Lyng, K.L.[Kevin Lundholm], Bodum, L.[Lars], Arsanjani, J.J.[Jamal Jokar],
Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Ling, Q.[Qing], Zhang, Q.[Qin], Qu, W.[Wei], Zhang, J.[Jing],
Probabilistic Evaluation of Slope Reliability Considering Groundwater Level Uncertainty Based on Dynamic Agent Model Using Uniform Design,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Yin, L.Z.[Ling-Zhi], Zhu, J.[Jun], Li, W.S.[Wen-Shu], Wang, J.H.[Jin-Hong],
Vulnerability Analysis of Geographical Railway Network under Geological Hazard in China,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Zhou, Y.Y.[Yan-Yan], Yue, D.X.[Dong-Xia], Liang, G.[Geng], Li, S.Y.[Shuang-Ying], Zhao, Y.[Yan], Chao, Z.Z.[Zeng-Zu], Meng, X.[Xingmin],
Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Sun, X.H.[Xiao-Hui], Yu, C.L.[Cheng-Long], Li, Y.R.[Yan-Rong], Rene, N.N.[Ngambua N.],
Susceptibility Mapping of Typical Geological Hazards in Helong City Affected by Volcanic Activity of Changbai Mountain, Northeastern China,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Huang, W.[Wubiao], Ding, M.[Mingtao], Li, Z.H.[Zhen-Hong], Zhuang, J.Q.[Jian-Qi], Yang, J.[Jing], Li, X.[Xinlong], Meng, L.[Ling'en], Zhang, H.Y.[Hong-Yu], Dong, Y.[Yue],
An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Bravo-López, E.[Esteban], Fernández del Castillo, T.[Tomás], Sellers, C.[Chester], Delgado-García, J.[Jorge],
Landslide Susceptibility Mapping of Landslides with Artificial Neural Networks: Multi-Approach Analysis of Backpropagation Algorithm Applying the Neuralnet Package in Cuenca, Ecuador,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, Y.Z.[Yi-Zhun], Yan, Q.[Qisheng],
Landslide Susceptibility Prediction Based on High-Trust Non-Landslide Point Selection,
IJGI(11), No. 7, 2022, pp. xx-yy.
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Specific Site Landslide Analysis .


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