22.3.2.2.7 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,
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
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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
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
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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
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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
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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
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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
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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
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.[Huifang], Chen, Y.M.[Yu-Min], Deng, S.[Susu], Chen, M.[Meijie], Fang, T.[Tao], Tan, H.[Huangyuan],
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
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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
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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

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
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Chen, L.Q.[Li-Quan], Zhao, C.Y.[Chao-Ying], Kang, Y.[Ya], Chen, H.[Hengyi], 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
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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


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

Hasan, K.[Khaled], Aanstoos, J.V.[James V.], Mahrooghy, M.[Majid],
Stressed vegetation identification by SAR time series as an indicator of slope instability in Mississippi River levee segments,
AIPR13(1-4)
IEEE DOI 1408
cracks BibRef

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


Last update:Apr 8, 2020 at 16:17:22