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.[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
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
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
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
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 .