24.2.2.6.3 Landslide Susceptibility, Landslide Risk Analysis, Hazards

Chapter Contents (Back)
Landslide Susceptibility. Landslide Risk. Susceptibility.

Magliulo, P.[Paolo], di Lisio, A.[Antonio], Russo, F.[Filippo],
Comparison of GIS-based methodologies for the landslide susceptibility assessment,
GeoInfo(13), No. 3, September 2009, pp. xx-yy.
Springer DOI 0905
BibRef

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,
PFG(2010), No. 1, 2010, pp. 17-32.
WWW Link. 1211
BibRef

Rauste, Y., Lateh, H.B., Jefriza,, Mohd, M.W.I.W.[M. W. I. Wan], Lonnqvist, A., Hame, T.,
TerraSAR-X Data in Cut Slope Soil Stability Monitoring in Malaysia,
GeoRS(50), No. 9, September 2012, pp. 3354-3363.
IEEE DOI 1209
BibRef

Qiao, G.[Gang], Lu, P.[Ping], Scaioni, M.[Marco], Xu, S.Y.[Shu-Ying], Tong, X.H.[Xiao-Hua], Feng, T.T.[Tian-Tian], Wu, H.B.[Hang-Bin], Chen, W.[Wen], Tian, Y.X.[Yi-Xiang], Wang, W.[Weian], Li, R.X.[Rong-Xing],
Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design,
RS(5), No. 9, 2013, pp. 4319-4346.
DOI Link 1310
BibRef

Chalkias, C.[Christos], Ferentinou, M.[Maria], Polykretis, C.[Christos],
GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method,
IJGI(3), No. 2, 2014, pp. 523-539.
DOI Link 1405
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.Q.[Ji-Quan], Tong, S.Q.[Si-Qin], 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.Y.[Shi-Yuan], Lin, Q.G.[Qi-Gen],
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
BibRef

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
BibRef

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
BibRef

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,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

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
BibRef

Chen, W.[Wei], Sun, Z.[Zenghui], Zhao, X.[Xia], Lei, X.X.[Xin-Xiang], 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
BibRef

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
BibRef

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
BibRef

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.
DOI Link 2102
BibRef

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
BibRef

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
BibRef

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.
DOI Link 2103
BibRef

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.
DOI Link 2103
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.T.[Yu-Ting],
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.Y.[Shi-Yu], 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.R.[Shu-Ran], Feng, G.C.[Guang-Cai], Xiong, Z.Q.[Zhi-Qiang], Wang, H.Y.[Hai-Yan], Zhao, Y.G.[Ying-Gang], Li, K.F.[Kai-Feng], Deng, K.L.[Kai-Liang], Wang, Y.X.[Yue-Xin],
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.L.[Zhan-Long], 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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.K.[Ya-Kun],
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.C.[Guang-Cheng], 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
BibRef

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.K.[Ying-Kui], 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.R.[Zhen-Ru], Li, C.[Cong], Yao, S.Y.[Shun-Yu], Yao, H.K.[Hong-Kun],
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.X.[Yuan-Xi], Su, X.J.[Xiao-Jun], Wang, A.J.[Ai-Jie], Meng, X.M.[Xing-Min],
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.M.[Jing-Ming], 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
BibRef

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.T.[Ming-Tao], Li, Z.H.[Zhen-Hong], Zhuang, J.Q.[Jian-Qi], Yang, J.[Jing], Li, X.L.[Xin-Long], 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.
DOI Link 2208
BibRef

Ado, M.[Moziihrii], Amitab, K.[Khwairakpam], Maji, A.K.[Arnab Kumar], Jasinska, E.[Elzbieta], Gono, R.[Radomir], Leonowicz, Z.[Zbigniew], Jasinski, M.[Michal],
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Álvarez-Vargas, F.J.[Francisco Javier], Castaño, M.A.V.[María Angélica Villa], Restrepo, C.[Carla],
Demand for Ecosystem Services Drive Large-Scale Shifts in Land-Use in Tropical Mountainous Watersheds Prone to Landslides,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yuan, X.Y.[Xin-Yue], Liu, C.[Chao], Nie, R.H.[Rui-Hua], Yang, Z.L.[Zheng-Li], Li, W.L.[Wei-Le], Dai, X.A.[Xiao-Ai], Cheng, J.Y.[Jun-Ying], Zhang, J.M.[Jun-Min], Ma, L.[Lei], Fu, X.[Xiao], Tang, M.[Min], Xu, Y.[Yina], Lu, H.[Heng],
A Comparative Analysis of Certainty Factor-Based Machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yang, Z.L.[Zheng-Li], Liu, C.[Chao], Nie, R.H.[Rui-Hua], Zhang, W.C.[Wan-Chang], Zhang, L.[Leili], Zhang, Z.J.[Zhi-Jie], Li, W.L.[Wei-Le], Liu, G.[Gang], Dai, X.A.[Xiao-Ai], Zhang, D.H.[Dong-Hui], Zhang, M.[Min], Miao, S.X.[Shuang-Xi], Fu, X.[Xiao], Ren, Z.M.[Zhi-Ming], Lu, H.[Heng],
Research on Uncertainty of Landslide Susceptibility Prediction: Bibliometrics and Knowledge Graph Analysis,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhan, J.W.[Jie-Wei], Yu, Z.Y.[Zhao-Yue], Lv, Y.[Yan], Peng, J.B.[Jian-Bing], Song, S.Y.[Sheng-Yuan], Yao, Z.W.[Zhao-Wei],
Rockfall Hazard Assessment in the Taihang Grand Canyon Scenic Area Integrating Regional-Scale Identification of Potential Rockfall Sources,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Bai, D.X.[Dong-Xin], Lu, G.Y.[Guang-Yin], Zhu, Z.Q.[Zi-Qiang], Zhu, X.D.[Xu-Dong], Tao, C.Y.[Chuan-Yi], Fang, J.[Ji],
Using Electrical Resistivity Tomography to Monitor the Evolution of Landslides' Safety Factors under Rainfall: A Feasibility Study Based on Numerical Simulation,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, Y.[Ying], Zhao, L.J.[Liang-Jun], Bao, A.[Anming], Li, J.L.[Jun-Li], Yan, X.B.[Xia-Bing],
Chinese High Resolution Satellite Data and GIS-Based Assessment of Landslide Susceptibility along Highway G30 in Guozigou Valley Using Logistic Regression and MaxEnt Model,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Deng, H.[Hui], Wu, X.T.[Xian-Tan], Zhang, W.J.[Wen-Jiang], Liu, Y.S.[Yan-Song], Li, W.L.[Wei-Le], Li, X.Y.[Xiang-Yu], Zhou, P.[Ping], Zhuo, W.H.[Wen-Hao],
Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Francini, M.[Mauro], Salvo, C.[Carolina], Viscomi, A.[Antonio], Vitale, A.[Alessandro],
A Deep Learning-Based Method for the Semi-Automatic Identification of Built-Up Areas within Risk Zones Using Aerial Imagery and Multi-Source GIS Data: An Application for Landslide Risk,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Huang, F.M.[Fa-Ming], Tao, S.[Siyu], Li, D.Y.[De-Ying], Lian, Z.P.[Zhi-Peng], Catani, F.[Filippo], Huang, J.S.[Jin-Song], Li, K.[Kailong], Zhang, C.H.[Chu-Hong],
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wu, W.H.[Wen-Huan], Zhang, Q.[Qiang], Singh, V.P.[Vijay P.], Wang, G.[Gang], Zhao, J.Q.[Jia-Qi], Shen, Z.X.[Ze-Xi], Sun, S.[Shuai],
A Data-Driven Model on Google Earth Engine for Landslide Susceptibility Assessment in the Hengduan Mountains, the Qinghai-Tibetan Plateau,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Huang, H.[Han], Wang, Y.S.[Yong-Sheng], Li, Y.[Yamei], Zhou, Y.[Yang], Zeng, Z.Q.[Zhao-Qi],
Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and Machine Learning Methods,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Kyriou, A.[Aggeliki], Nikolakopoulos, K.G.[Konstantinos G.], Koukouvelas, I.K.[Ioannis K.],
Timely and Low-Cost Remote Sensing Practices for the Assessment of Landslide Activity in the Service of Hazard Management,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Peng, T.[Tao], Chen, Y.Z.[Yun-Zhi], Chen, W.[Wei],
Landslide Susceptibility Modeling Using Remote Sensing Data and Random SubSpace-Based Functional Tree Classifier,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Sestras, P.[Paul], Bila?co, ?.[?tefan], Ro?ca, S.[Sanda], Veres, I.[Ioel], Ilies, N.[Nicoleta], Hysa, A.[Artan], Spalevic, V.[Velibor], Cîmpeanu, S.M.[Sorin M.],
Multi-Instrumental Approach to Slope Failure Monitoring in a Landslide Susceptible Newly Built-Up Area: Topo-Geodetic Survey, UAV 3D Modelling and Ground-Penetrating Radar,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Foumelis, M.[Michael], Blasco, J.M.D.[Jose Manuel Delgado], Brito, F.[Fabrice], Pacini, F.[Fabrizio], Papageorgiou, E.[Elena], Pishehvar, P.[Panteha], Bally, P.[Philippe],
SNAPPING Services on the Geohazards Exploitation Platform for Copernicus Sentinel-1 Surface Motion Mapping,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Orellana, F.[Felipe], Moreno, M.[Marcos], Yáñez, G.[Gonzalo],
High-Resolution Deformation Monitoring from DInSAR: Implications for Geohazards and Ground Stability in the Metropolitan Area of Santiago, Chile,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

He, Y.F.[Yi-Fei], Zhang, Y.[Yaonan],
Comparison of Three Mixed-Effects Models for Mass Movement Susceptibility Mapping Based on Incomplete Inventory in China,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Crawford, M.M.[Matthew M.], Dortch, J.M.[Jason M.], Koch, H.J.[Hudson J.], Zhu, Y.C.[Yi-Chuan], Haneberg, W.C.[William C.], Wang, Z.M.[Zhen-Ming], Bryson, L.S.[L. Sebastian],
Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale, Limited Resource Approach,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Dong, X.J.[Xiu-Jun], Yin, T.[Tao], Dai, K.[Keren], Pirasteh, S.[Saied], Zhuo, G.C.[Guan-Chen], Li, Z.[Zhiyu], Yu, B.[Bing], Xu, Q.[Qiang],
Identifying Potential Landslides on Giant Niexia Slope (China) Based on Integrated Multi-Remote Sensing Technologies,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Bounab, A.[Ali], El Kharim, Y.[Younes], El Hamdouni, R.[Rachid],
The Suitability of UAV-Derived DSMs and the Impact of DEM Resolutions on Rockfall Numerical Simulations: A Case Study of the Bouanane Active Scarp, Tetouan, Northern Morocco,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Nurwatik, N.[Nurwatik], Ummah, M.H.[Muhammad Hidayatul], Cahyono, A.B.[Agung Budi], Darminto, M.R.[Mohammad Rohmaneo], Hong, J.H.[Jung-Hong],
A Comparison Study of Landslide Susceptibility Spatial Modeling Using Machine Learning,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
BibRef

Dai, C.[Cong], Li, W.[Weile], Lu, H.[Huiyan], Zhang, S.[Shuai],
Landslide Hazard Assessment Method Considering the Deformation Factor: A Case Study of Zhouqu, Gansu Province, Northwest China,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Tan, W.X.[Wei-Xian], Wang, Y.D.[Ya-Dong], Huang, P.P.[Ping-Ping], Qi, Y.[Yaolong], Xu, W.[Wei], Li, C.M.[Chun-Ming], Chen, Y.[Yuejuan],
A Method for Predicting Landslides Based on Micro-Deformation Monitoring Radar Data,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Jiang, Z.[Ziyu], Wang, M.[Ming], Liu, K.[Kai],
Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Wang, Z.[Zhuolu], Xu, S.H.[Sheng-Hua], Liu, J.P.[Ji-Ping], Wang, Y.[Yong], Ma, X.R.[Xin-Rui], Jiang, T.[Tao], He, X.[Xuan], Han, Z.[Zeya],
A Combination of Deep Autoencoder and Multi-Scale Residual Network for Landslide Susceptibility Evaluation,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Delgado-Reivan, X.[Xavier], Paredes-Miranda, C.[Cristhian], Loaiza, S.[Silvia], del Pilar-Villalta-Echeverria, M.[Michelle], Mulas, M.[Maurizio], Jordá-Bordehore, L.[Luis],
Stability Analysis of Rocky Slopes on the Cuenca-Giron-Pasaje Road, Combining Limit Equilibrium Methods, Kinematics, Empirical Methods, and Photogrammetry,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Kohno, M.[Masanori], Higuchi, Y.[Yuki],
Landslide Susceptibility Assessment in the Japanese Archipelago Based on a Landslide Distribution Map,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Gui, J.Y.[Jing-Yun], Alejano, L.R.[Leandro Rafael], Yao, M.[Miao], Zhao, F.[Fasuo], Chen, W.[Wei],
GIS-Based Landslide Susceptibility Modeling: A Comparison between Best-First Decision Tree and Its Two Ensembles (BagBFT and RFBFT),
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Li, L.P.[Lang-Ping], Lan, H.X.[Heng-Xing],
Bivariate Landslide Susceptibility Analysis: Clarification, Optimization, Open Software, and Preliminary Comparison,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Zhang, R.C.[Rong-Chun], Shi, S.[Shang], Yi, X.F.[Xue-Feng], Liu, L.[Lanfa], Zhang, C.Y.[Chen-Yang], Jing, M.[Meiru], Li, J.H.[Jun-Hui],
A Slope Structural Plane Extraction Method Based on Geo-AINet Ensemble Learning with UAV Images,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Thomas, J.[Juby], Gupta, M.[Manika], Srivastava, P.K.[Prashant K.], Petropoulos, G.P.[George P.],
Assessment of a Dynamic Physically Based Slope Stability Model to Evaluate Timing and Distribution of Rainfall-Induced Shallow Landslides,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Yan, L.X.[Liang-Xuan], Gong, Q.B.[Quan-Bing], Wang, F.[Fei], Chen, L.X.[Li-Xia], Li, D.Y.[De-Ying], Yin, K.L.[Kun-Long],
Integrated Methodology for Potential Landslide Identification in Highly Vegetation-Covered Areas,
RS(15), No. 6, 2023, pp. 1518.
DOI Link 2304
BibRef

Dai, X.L.[Xiao-Liang], Zhu, Y.Q.[Yun-Qiang], Sun, K.[Kai], Zou, Q.[Qiang], Zhao, S.[Shen], Li, W.R.[Wei-Rong], Hu, L.[Lei], Wang, S.[Shu],
Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China,
RS(15), No. 6, 2023, pp. 1513.
DOI Link 2304
BibRef

Caliò, D.[Davide], Mineo, S.[Simone], Pappalardo, G.[Giovanna],
Digital Rock Mass Analysis for the Evaluation of Rockfall Magnitude at Poorly Accessible Cliffs,
RS(15), No. 6, 2023, pp. 1515.
DOI Link 2304
BibRef

Yin, W.P.[Wen-Ping], Niu, C.[Chong], Bai, Y.Q.[Yong-Qing], Zhang, L.L.[Lin-Lin], Ma, D.Q.[De-Qiang], Zhang, S.[Sheng], Zhou, X.[Xiran], Xue, Y.[Yong],
An Adaptive Identification Method for Potential Landslide Hazards Based on Multisource Data,
RS(15), No. 7, 2023, pp. 1865.
DOI Link 2304
BibRef

Yu, H.W.[Hai-Wei], Pei, W.J.[Wen-Jie], Zhang, J.Y.[Jing-Yi], Chen, G.S.[Guang-Sheng],
Landslide Susceptibility Mapping and Driving Mechanisms in a Vulnerable Region Based on Multiple Machine Learning Models,
RS(15), No. 7, 2023, pp. 1886.
DOI Link 2304
BibRef

Chen, L.J.[Luan-Jie], Ge, X.T.[Xing-Tong], Yang, L.[Lina], Li, W.C.[Wei-Chao], Peng, L.[Ling],
An Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph,
RS(15), No. 8, 2023, pp. 2126.
DOI Link 2305

See also Spatio-Temporal Knowledge Graph Based Forest Fire Prediction with Multi Source Heterogeneous Data. BibRef

Xing, Y.[Yin], Chen, Y.[Yang], Huang, S.[Saipeng], Xie, W.[Wei], Wang, P.[Peng], Xiang, Y.F.[Yun-Fei],
Research on the Uncertainty of Landslide Susceptibility Prediction Using Various Data-Driven Models and Attribute Interval Division,
RS(15), No. 8, 2023, pp. 2149.
DOI Link 2305
BibRef

Hoang, D.A.[Duc Anh], Le, H.V.[Hung Van], Pham, D.V.[Dong Van], Hoa, P.V.[Pham Viet], Bui, D.T.[Dieu Tien],
Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping,
RS(15), No. 8, 2023, pp. 2187.
DOI Link 2305
BibRef

Innocenti, A.[Agnese], Rosi, A.[Ascanio], Tofani, V.[Veronica], Pazzi, V.[Veronica], Gargini, E.[Elisa], Masi, E.B.[Elena Benedetta], Segoni, S.[Samuele], Bertolo, D.[Davide], Paganone, M.[Marco], Casagli, N.[Nicola],
Geophysical Surveys for Geotechnical Model Reconstruction and Slope Stability Modelling,
RS(15), No. 8, 2023, pp. 2159.
DOI Link 2305
BibRef

Wang, S.[Sheng], Zhang, K.[Ke], Chao, L.J.[Li-Jun], Chen, G.[Guoding], Xia, Y.[Yi], Zhang, C.T.[Chun-Tang],
Investigating the Feasibility of Using Satellite Rainfall for the Integrated Prediction of Flood and Landslide Hazards over Shaanxi Province in Northwest China,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
BibRef

Song, Y.Z.[Ying-Ze], Yang, D.G.[De-Gang], Wu, W.C.[Wei-Cheng], Zhang, X.[Xin], Zhou, J.[Jie], Tian, Z.X.[Zhao-Xu], Wang, C.C.[Chen-Can], Song, Y.X.[Ying-Xu],
Evaluating Landslide Susceptibility Using Sampling Methodology and Multiple Machine Learning Models,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Liu, L.[Liang], Deng, J.Q.[Ji-Qiu], Tang, Y.[Yu],
A Dynamic Management and Integration Framework for Models in Landslide Early Warning System,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Wang, X.L.[Xue-Liang], Zhang, Y.J.[Yan-Jie], Clague, J.J.[John J.], Guo, S.F.[Song-Feng], Jiao, Q.S.[Qi-Song], Wang, J.F.[Jun-Fei], Sun, J.J.[Juan-Juan], Fang, W.X.[Wen-Xin], Qi, S.W.[Sheng-Wen],
Study of a Steady-State Landscape Using Remote Sensing and Topographic Analysis,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
Slope erosion, slides. BibRef

Liu, M.[Meiyu], Xu, B.[Bing], Li, Z.W.[Zhi-Wei], Mao, W.X.[Wen-Xiang], Zhu, Y.[Yan], Hou, J.X.[Jing-Xin], Liu, W.Z.[Wei-Zheng],
Landslide Susceptibility Zoning in Yunnan Province Based on SBAS-InSAR Technology and a Random Forest Model,
RS(15), No. 11, 2023, pp. 2864.
DOI Link 2306
BibRef

Farmakis, I.[Ioannis], Hutchinson, D.J.[D. Jean], Vlachopoulos, N.[Nicholas], Westoby, M.[Matthew], Lim, M.[Michael],
Slope-Scale Rockfall Susceptibility Modeling as a 3D Computer Vision Problem,
RS(15), No. 11, 2023, pp. 2712.
DOI Link 2306
BibRef

Khabiri, S.[Sahand], Crawford, M.M.[Matthew M.], Koch, H.J.[Hudson J.], Haneberg, W.C.[William C.], Zhu, Y.C.[Yi-Chuan],
An Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Shahabi, H.[Himan], Ahmadi, R.[Reza], Alizadeh, M.[Mohsen], Hashim, M.[Mazlan], Al-Ansari, N.[Nadhir], Shirzadi, A.[Ataollah], Wolf, I.D.[Isabelle D.], Ariffin, E.H.[Effi Helmy],
Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Hirye, M.C.M.[Mayumi C. M.], Alves, D.S.[Diógenes Salas], Filardo, Jr., A.S.[Angelo Salvador], McPhearson, T.[Timon], Wagner, F.[Fabien],
Assessing Landslide Drivers in Social-Ecological-Technological Systems: The Case of Metropolitan Region of Sao Paulo, Brazil,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Qian, L.H.[Li-Hui], Zang, S.Y.[Shu-Ying], Man, H.R.[Hao-Ran], Sun, L.[Li], Wu, X.W.[Xiang-Wen],
Determination of the Stability of a High and Steep Highway Slope in a Basalt Area Based on Iron Staining Anomalies,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Zocchi, M.[Marta], Kasaragod, A.K.[Anush Kumar], Jenkins, A.[Abby], Cook, C.[Chris], Dobson, R.[Richard], Oommen, T.[Thomas], van Huis, D.[Dana], Taylor, B.[Beau], Brooks, C.[Colin], Marini, R.[Roberta], Troiani, F.[Francesco], Mazzanti, P.[Paolo],
Multi-Sensor and Multi-Scale Remote Sensing Approach for Assessing Slope Instability along Transportation Corridors Using Satellites and Uncrewed Aircraft Systems,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Zhang, Y.Z.[Yu-Ze], Deng, L.[Lei], Han, Y.[Ying], Sun, Y.[Yunhua], Zang, Y.[Yu], Zhou, M.[Minlu],
Landslide Hazard Assessment in Highway Areas of Guangxi Using Remote Sensing Data and a Pre-Trained XGBoost Model,
RS(15), No. 13, 2023, pp. 3350.
DOI Link 2307
BibRef

Fu, Z.J.[Zi-Jin], Wang, F.[Fawu], Dou, J.[Jie], Nam, K.[Kounghoon], Ma, H.[Hao],
Enhanced Absence Sampling Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China,
RS(15), No. 13, 2023, pp. 3345.
DOI Link 2307
BibRef

Ma, Y.[Yu], Xu, S.H.[Sheng-Hua], Jiang, T.[Tao], Wang, Z.L.[Zhuo-Lu], Wang, Y.[Yong], Liu, M.M.[Meng-Meng], Li, X.Y.[Xiao-Yan], Ma, X.R.[Xin-Rui],
Learning a Deep Attention Dilated Residual Convolutional Neural Network for Landslide Susceptibility Mapping in Hanzhong City, Shaanxi Province, China,
RS(15), No. 13, 2023, pp. 3296.
DOI Link 2307
BibRef

Sun, J.J.[Juan-Juan], Wang, X.L.[Xue-Liang], Guo, S.F.[Song-Feng], Liu, H.Y.[Hai-Yang], Zou, Y.[Yu], Yao, X.L.[Xiang-Long], Huang, X.L.[Xiao-Lin], Qi, S.W.[Sheng-Wen],
Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau,
RS(15), No. 13, 2023, pp. 3273.
DOI Link 2307
BibRef

Herrera-Coy, M.C.[María Camila], Calderón, L.P.[Laura Paola], Herrera-Pérez, I.L.[Iván Leonardo], Bravo-López, P.E.[Paul Esteban], Conoscenti, C.[Christian], Delgado, J.[Jorge], Sánchez-Gómez, M.[Mario], Fernández, T.[Tomás],
Landslide Susceptibility Analysis on the Vicinity of Bogota-Villavicencio Road (Eastern Cordillera of the Colombian Andes),
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Zeng, T.R.[Tao-Rui], Guo, Z.Z.[Zi-Zheng], Wang, L.F.[Lin-Feng], Jin, B.J.[Bi-Jing], Wu, F.[Fayou], Guo, R.[Rujun],
Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity,
RS(15), No. 16, 2023, pp. 4111.
DOI Link 2309
BibRef
And: Correction: RS(15), No. 23, 2023, pp. 5549.
DOI Link 2312
BibRef

Deng, J.[Jin], Dai, K.[Keren], Liang, R.[Rubing], Chen, L.C.[Li-Chuan], Wen, N.L.[Ning-Ling], Zheng, G.[Guang], Xu, H.[Hong],
Interferometric Synthetic Aperture Radar Applicability Analysis for Potential Landslide Identification in Steep Mountainous Areas with C/L Band Data,
RS(15), No. 18, 2023, pp. 4538.
DOI Link 2310
BibRef

Abbas, F.[Farkhanda], Zhang, F.[Feng], Abbas, F.[Fazila], Ismail, M.[Muhammad], Iqbal, J.[Javed], Hussain, D.[Dostdar], Khan, G.[Garee], Alrefaei, A.F.[Abdulwahed Fahad], Albeshr, M.F.[Mohammed Fahad],
Landslide Susceptibility Mapping: Analysis of Different Feature Selection Techniques with Artificial Neural Network Tuned by Bayesian and Metaheuristic Algorithms,
RS(15), No. 17, 2023, pp. 4330.
DOI Link 2310
BibRef

Franzosi, F.[Federico], Crippa, C.[Chiara], Derron, M.H.[Marc-Henri], Jaboyedoff, M.[Michel], Agliardi, F.[Federico],
Slope-Scale Remote Mapping of Rock Mass Fracturing by Modeling Cooling Trends Derived from Infrared Thermography,
RS(15), No. 18, 2023, pp. 4525.
DOI Link 2310
BibRef

Ortiz, J.A.V.[Joaquín Andrés Valencia], Martínez-Graña, A.M.[Antonio Miguel], Méndez, L.M.[Lenny Mejía],
Evaluation of Susceptibility by Mass Movements through Stochastic and Statistical Methods for a Region of Bucaramanga, Colombia,
RS(15), No. 18, 2023, pp. 4567.
DOI Link 2310
BibRef

Zhang, B.L.[Bin-Lan], Ouyang, C.J.[Chao-Jun], Wang, D.P.[Dong-Po], Wang, F.[Fulei], Xu, Q.S.[Qing-Song],
A PANN-Based Grid Downscaling Technology and Its Application in Landslide and Flood Modeling,
RS(15), No. 20, 2023, pp. 5075.
DOI Link 2310
BibRef

Yang, B.B.[Bei-Bei], Guo, Z.Z.[Zi-Zheng], Wang, L.[Luqi], He, J.[Jun], Xia, B.Q.[Bing-Qi], Vakily, S.[Sayedehtahereh],
Updated Global Navigation Satellite System Observations and Attention-Based Convolutional Neural Network-Long Short-Term Memory Network Deep Learning Algorithms to Predict Landslide Spatiotemporal Displacement,
RS(15), No. 20, 2023, pp. 4971.
DOI Link 2310
BibRef

Shang, H.[Hui], Su, L.X.[Li-Xiang], Chen, W.[Wei], Tsangaratos, P.[Paraskevas], Ilia, I.[Ioanna], Liu, S.[Sihang], Cui, S.B.[Shao-Bo], Duan, Z.[Zhao],
Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China,
RS(15), No. 20, 2023, pp. 4952.
DOI Link 2310
BibRef

Wang, X.[Xin], Bai, S.B.[Shi-Biao],
Landslide Susceptibility Mapping and Interpretation in the Upper Minjiang River Basin,
RS(15), No. 20, 2023, pp. 4947.
DOI Link 2310
BibRef

Lu, Z.W.[Zhao-Wei], Yang, H.L.[Hong-Lei], Zeng, W.[Wei], Liu, P.[Peng], Wang, Y.D.[Yue-Dong],
Geological Hazard Identification and Susceptibility Assessment Based on MT-InSAR,
RS(15), No. 22, 2023, pp. 5316.
DOI Link 2311
BibRef

Wolff, C.[Charlotte], Jaboyedoff, M.[Michel], Fei, L.[Li], Pedrazzini, A.[Andrea], Derron, M.H.[Marc-Henri], Rivolta, C.[Carlo], Merrien-Soukatchoff, V.[Véronique],
Assessing the Hazard of Deep-Seated Rock Slope Instability through the Description of Potential Failure Scenarios, Cross-Validated Using Several Remote Sensing and Monitoring Techniques,
RS(15), No. 22, 2023, pp. 5396.
DOI Link 2311
BibRef

Zhao, L.[Lingran], Ma, H.[Hangling], Dong, J.[Jiahui], Wu, X.L.[Xue-Ling], Xu, H.[Hang], Niu, R.Q.[Rui-Qing],
A Comparative Study of Landslide Susceptibility Mapping Using Bagging PU Learning in Class-Prior Probability Shift Datasets,
RS(15), No. 23, 2023, pp. 5547.
DOI Link 2312
BibRef

Morelli, S.[Stefano], Bonì, R.[Roberta], de Donatis, M.[Mauro], Marino, L.[Lucia], Pappafico, G.F.[Giulio Fabrizio], Francioni, M.[Mirko],
A Low-Cost and Fast Operational Procedure to Identify Potential Slope Instabilities in Cultural Heritage Sites,
RS(15), No. 23, 2023, pp. 5574.
DOI Link 2312
BibRef

Nie, Z.Q.[Zuo-Quan], Lang, Q.L.[Qiu-Ling], Zhang, Y.C.[Yi-Chen], Zhang, J.Q.[Ji-Quan], Chen, Y.[Yanan], Pan, Z.K.[Zeng-Kai],
Risk Assessment of Landslide Collapse Disasters along National Highways Based on Information Quantity and Random Forest Coupling Methods: A Case Study of the G331 National Highway,
IJGI(12), No. 12, 2023, pp. 493.
DOI Link 2312
BibRef

Chen, L.J.[Luan-Jie], Peng, L.[Ling], Yang, L.[Lina],
Improving Landslide Prediction: Innovative Modeling and Evaluation of Landslide Scenario with Knowledge Graph Embedding,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Gantimurova, S.[Svetlana], Parshin, A.[Alexander],
Combined Methodology for Rockfall Susceptibility Mapping Using UAV Imagery Data,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Zhong, J.X.[Jia-Xin], Li, Q.[Qiaomin], Zhang, J.[Jia], Luo, P.P.[Ping-Ping], Zhu, W.[Wei],
Risk Assessment of Geological Landslide Hazards Using D-InSAR and Remote Sensing,
RS(16), No. 2, 2024, pp. 345.
DOI Link 2402
BibRef

Wang, X.[Xiao], Wang, D.[Di], Li, X.Y.[Xin-Yue], Zhang, M.M.[Meng-Meng], Cheng, S.[Sizhi], Li, S.[Shaoda], Dong, J.H.[Jian-Hui], Xu, L.[Luting], Sun, T.[Tiegang], Li, W.[Weile], Ran, P.[Peilian], Liu, L.[Liang], Wang, B.[Baojie], Zhao, L.[Ling], Huang, X.[Xinyi],
The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning,
RS(16), No. 2, 2024, pp. 347.
DOI Link 2402
BibRef

Du, Y.J.[Ying-Jie], Xu, X.Y.[Xiang-Yang], He, X.[Xuhui],
Optimizing Geo-Hazard Response: LBE-YOLO's Innovative Lightweight Framework for Enhanced Real-Time Landslide Detection and Risk Mitigation,
RS(16), No. 3, 2024, pp. 534.
DOI Link 2402
BibRef


Zhang, Q., Chen, M., Wu, J., Xu, C., Wang, F.,
Feasibility Verification of Virtual Reference Station Technology In Geological Hazard Monitoring,
ISPRS21(B1-2021: 235-240).
DOI Link 2201
BibRef

Karakas, G., Kocaman, S., Gokceoglu, C.,
Aerial Photogrammetry and Machine Learning Based Regional Landslide Susceptibility Assessment for An Earthquake Prone Area In Turkey,
ISPRS21(B3-2021: 713-720).
DOI Link 2201
BibRef

Kim, S.S., Kim, D.Y., Nho, H.,
Risk Assessment of Steep Slope Using Drone Mapping and Terrestrial LIDAR in Korea,
Gi4DM20(81-86).
DOI Link 2012
BibRef

Pesántez, P.C.,
Landslide Study Using Terrestrial Laser Scanner (LIDAR) Analysis,
ISPRS20(B3:1251-1256).
DOI Link 2012
BibRef

Yordanov, V., Brovelli, M.A.,
Comparing Model Performance Metrics for Landslide Susceptibility Mapping,
ISPRS20(B3:1277-1284).
DOI Link 2012
BibRef

Karakas, G., Can, R., Kocaman, S., Nefeslioglu, H.A., Gokceoglu, C.,
Landslide Susceptibility Mapping with Random Forest Model for Ordu, Turkey,
ISPRS20(B3:1229-1236).
DOI Link 2012
BibRef

Shin, D.Y., Sim, J.S., Lee, K.S.,
Application of The Steep Slope Risk Assessment Using Three Dimensional Information Data,
Gi4DM19(381-386).
DOI Link 1912
BibRef

Redweik, P., Matildes, R., Marques, F.,
Geospatial Model for Large Scale Sea Cliff Rockfall Susceptibility Mapping,
Gi4DM19(341-347).
DOI Link 1912
BibRef

Abujayyab, S.K.M., Karas, I.R.,
Low Data Requirements Framework for Landslide Susceptibility Prediction Using 3d Alos Palsar Images and Neural Networks,
GGT19(47-54).
DOI Link 1912
BibRef

Javier, D.N., Kumar, L.,
Frequency Ratio Landslide Susceptibility Estimation in a Tropical Mountain Region,
Gi4DM19(173-179).
DOI Link 1912
BibRef

Hasan, R.C., Rosle, Q.A., Asmadi, M.A., Mohamed Kamal, N.A.,
Extraction of Element At Risk for Landslides Using Remote Sensing Method,
GeoDisast18(181-188).
DOI Link 1901
BibRef

Bibi, T., Gul, Y., Abdul Rahman, A., Riaz, M.,
Landslide Susceptibility Assessment Through Fuzzy Logic Inference System (FLIS),
GGT16(355-360).
DOI Link 1612
BibRef

Chang, K.T., Dou, J., Chang, Y., Kuo, C.P., Xu, K.M., Liu, J.K.,
Spatial Resolution Effects Of Digital Terrain Models On Landslide Susceptibility Analysis,
ISPRS16(B8: 33-36).
DOI Link 1610
BibRef

Lai, J.S., Tsai, F., Chiang, S.H.,
Integrating Geo-spatial Data For Regional Landslide Susceptibility Modeling In Consideration Of Run-out Signature,
ISPRS16(B8: 89-93).
DOI Link 1610
BibRef

Mora, O.E., Lenzano, M.G., Toth, C.K., Grejner-Brzezinska, D.A.,
Analyzing the Effects of Spatial Resolution for Small Landslide Susceptibility and Hazard Mapping,
LandImaging14(293-300).
DOI Link 1411
BibRef

Valenzuela, V.V.[Victor Vermehren], Lins, R.D.[Rafael Dueire], de Oliveira, H.M.[Hélio Magalhães],
Application of Enhanced-2D-CWT in Topographic Images for Mapping Landslide Risk Areas,
ICIAR13(380-388).
Springer DOI 1307
BibRef

Blesius, L., Weirich, F.,
The use of high-resolution satellite imagery for deriving geotechnical parameters applied to landslide susceptibility,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Specific Site Landslide Analysis .


Last update:Mar 16, 2024 at 20:36:19