23.2.2.4 Landslide Detection, Analysis, Damage Assessment, Deformations

Chapter Contents (Back)
Remote Sensing. Landslide. Subsidence. Deformation. Surface Deformation. Damage Assessment. Aerial Image Analysis.
See also Specific Site Landslide Analysis.
See also Landslide Analysis, Earthquake Related, Seismic Analysis.
See also Surface Deformation From SAR, InSAR, IFSAR, Interferometry.
See also SAR, InSAR, Surface Deformation with Persistent, Permanent Scatter.
See also Surface Deformation, Subsidance From SAR Applied in Urban, City Areas. SAR for Landslides:
See also Landslide Analysis, SAR, InSAR, IFSAR, Radar.
See also Landslide Analysis, LiDAR, Laser Scanner.
See also Landslide Susceptibility, Landslide Risk Analysi.
See also Surface Deformation From SAR Applied to Mine Subsidence.
See also Avalanches, Snow Avalanche.
See also Deformation of Bridges, Monitor Bridges, Other Structures.
See also Site Model Change Detection, Map Update.
See also Change Detection -- Image Level.

Chadwick, J.[John], Dorsch, S.[Stephen], Glenn, N.[Nancy], Thackray, G.[Glenn], Shilling, K.[Karen],
Application of multi-temporal high-resolution imagery and GPS in a study of the motion of a canyon rim landslide,
PandRS(59), No. 4, June 2005, pp. 212-221.
Elsevier DOI 0509
BibRef

Chang, Y.L., Liang, L.S., Han, C.C., Fang, J.P., Liang, W.Y., Chen, K.S.,
Multisource Data Fusion for Landslide Classification Using Generalized Positive Boolean Functions,
GeoRS(45), No. 6, June 2007, pp. 1697-1708.
IEEE DOI 0706
BibRef

Chang, Y.L.[Yang-Lang], Liu, J.N.[Jin-Nan], Han, C.C.[Chin-Chuan], Chen, Y.N.[Ying-Nong],
Hyperspectral Image Classification Using Nearest Feature Line Embedding Approach,
GeoRS(52), No. 1, January 2014, pp. 278-287.
IEEE DOI 1402
eigenvalues and eigenfunctions BibRef

Chen, Y.N.[Ying-Nong], Thaipisutikul, T.[Tipajin], Han, C.C.[Chin-Chuan], Liu, T.J.[Tzu-Jui], Fan, K.C.[Kuo-Chin],
Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Chen, Y.N.[Ying-Nong],
Multiple Kernel Feature Line Embedding for Hyperspectral Image Classification,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Han, C.C.[Chin-Chuan],
A supervised classification scheme using positive boolean function,
ICPR02(II: 100-103).
IEEE DOI 0211
BibRef

Marchesini, I.[Ivan], Cencetti, C.[Corrado], de Rosa, P.[Pierluigi],
A preliminary method for the evaluation of the landslides volume at a regional scale,
GeoInfo(13), No. 3, September 2009, pp. xx-yy.
Springer DOI 0905
BibRef

Martha, T.R.[Tapas R.], Kerle, N.[Norman], van Westen, C.J.[Cees J.], Jetten, V.F.[Victor F.], Kumar, K.V.[K. Vinod],
Object-oriented analysis of multi-temporal panchromatic images for creation of historical landslide inventories,
PandRS(67), No. 1, January 2012, pp. 105-119.
Elsevier DOI 1202
Feature extraction; OOA; GEOBIA; Cartosat-1; Landslide hazard and risk; Disaster BibRef

Martha, T.R., Kerle, N., van Westen, C.J., Jetten, V.G., Kumar, K.V.,
Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis,
GeoRS(49), No. 12, December 2011, pp. 4928-4943.
IEEE DOI 1201
BibRef

Travelletti, J., Delacourt, C., Allemand, P., Malet, J.P., Schmittbuhl, J., Toussaint, R., Bastard, M.,
Correlation of multi-temporal ground-based optical images for landslide monitoring: Application, potential and limitations,
PandRS(70), No. 1, June 2012, pp. 39-55.
Elsevier DOI 1206
Image cross-correlation; Image matching; Landslide; Time-lapse photography; Displacement monitoring BibRef

Rahnama, M.[Mehdi], Gloaguen, R.[Richard],
TecLines: A MATLAB-Based Toolbox for Tectonic Lineament Analysis from Satellite Images and DEMs, Part 1: Line Segment Detection and Extraction,
RS(6), No. 7, 2014, pp. 5938-5958.
DOI Link 1408
BibRef
And:
TecLines: A MATLAB-Based Toolbox for Tectonic Lineament Analysis from Satellite Images and DEMs, Part 2: Line Segments Linking and Merging,
RS(6), No. 11, 2014, pp. 11468-11493.
DOI Link 1412
BibRef

Trancoso Gomes, R.A.[Roberto Arnaldo], Guimarães, R.F.[Renato Fontes], de Carvalho, O.A.[Osmar Abílio], Fernandes, N.F.[Nelson Ferreira], do Amaral, E.V.[Eurípedes Vargas],
Combining Spatial Models for Shallow Landslides and Debris-Flows Prediction,
RS(5), No. 5, 2013, pp. 2219-2237.
DOI Link 1307
BibRef

Scaioni, M.[Marco],
Remote Sensing for Landslide Investigations: From Research into Practice,
RS(5), No. 11, 2013, pp. 5488-5492.
DOI Link 1312
BibRef

Rau, J.Y.[Jiann-Yeou], Jhan, J.P.[Jyun-Ping], Rau, R.J.[Ruey-Juin],
Semiautomatic Object-Oriented Landslide Recognition Scheme From Multisensor Optical Imagery and DEM,
GeoRS(52), No. 2, February 2014, pp. 1336-1349.
IEEE DOI 1402
autonomous aerial vehicles BibRef

Chen, Z.C.[Zheng-Chao], Zhang, B.[Bing], Han, Y.S.[Yong-Shun], Zuo, Z.L.[Zheng-Li], Zhang, X.Y.[Xiao-Yong],
Modeling Accumulated Volume of Landslides Using Remote Sensing and DTM Data,
RS(6), No. 2, 2014, pp. 1514-1537.
DOI Link 1403
BibRef

Behling, R.[Robert], Roessner, S.[Sigrid], Segl, K.[Karl], Kleinschmit, B.[Birgit], Kaufmann, H.[Hermann],
Robust Automated Image Co-Registration of Optical Multi-Sensor Time Series Data: Database Generation for Multi-Temporal Landslide Detection,
RS(6), No. 3, 2014, pp. 2572-2600.
DOI Link 1404
BibRef

Stumpf, A., Malet, J.P., Allemand, P., Ulrich, P.,
Surface reconstruction and landslide displacement measurements with Pléiades satellite images,
PandRS(95), No. 1, 2014, pp. 1-12.
Elsevier DOI 1408
Image correlation BibRef

Behling, R.[Robert], Roessner, S.[Sigrid], Kaufmann, H.[Hermann], Kleinschmit, B.[Birgit],
Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data,
RS(6), No. 9, 2014, pp. 8026-8055.
DOI Link 1410
BibRef
And: Correction: RS(7), No. 1, 2015, pp. 666-667.
DOI Link 1502
BibRef

Scaioni, M.[Marco], Longoni, L.[Laura], Melillo, V.[Valentina], Papini, M.[Monica],
Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives,
RS(6), No. 10, 2014, pp. 9600-9652.
DOI Link 1411
BibRef
And: Correction: RS(6), No. 12, 2014, pp. 12666-12666.
DOI Link 1412
BibRef

Kurtz, C.[Camille], Passat, N.[Nicolas], Gançarski, P.[Pierre], Puissant, A.[Anne],
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology,
o PR(45), No. 2, February 2012, pp. 685-706.
Elsevier DOI 1110
Hierarchical segmentation; Clustering; Multisource images; Multiresolution approaches; Binary partition trees; Remote sensing; Urban analysis BibRef

Sublime, J.[Jérémie], Troya-Galvis, A.[Andrés], Puissant, A.[Anne],
Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Kurtz, C.[Camille], Stumpf, A.[André], Malet, J.P.[Jean-Philippe], Gançarski, P.[Pierre], Puissant, A.[Anne], Passat, N.[Nicolas],
Hierarchical extraction of landslides from multiresolution remotely sensed optical images,
PandRS(87), No. 1, 2014, pp. 122-136.
Elsevier DOI 1402
Landslide mapping BibRef

Kurtz, C.[Camille], Passat, N.[Nicolas], Gancarski, P.[Pierre], Puissant, A.[Anne],
A histogram semantic-based distance for multiresolution image classification,
ICIP12(1157-1160).
IEEE DOI 1302
BibRef

Troya-Galvis, A.[Andrés], Gançarski, P.[Pierre], Berti-Équille, L.[Laure],
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents,
PR(73), No. 1, 2018, pp. 259-274.
Elsevier DOI 1709
BibRef
Earlier:
Collaborative segmentation and classification for remote sensing image analysis,
ICPR16(829-834)
IEEE DOI 1705
Segmentation. Collaboration, Context, Convergence, Image segmentation, Radiometry, Remote, sensing BibRef

Rosu, A.M.[Ana-Maria], Pierrot-Deseilligny, M.[Marc], Delorme, A.[Arthur], Binet, R.[Renaud], Klinger, Y.[Yann],
Measurement of ground displacement from optical satellite image correlation using the free open-source software MicMac,
PandRS(100), No. 1, 2015, pp. 48-59.
Elsevier DOI 1502
Satellite images. Due to earthquakes, etc. Changes in the surface. BibRef

Nunnari, G., Cannavo, F., Fargetta, M., Spata, A.,
A Grid application to estimate 3D temporal evolution of ground deformation displacements,
IPTA12(80-84)
IEEE DOI 1503
artificial satellites BibRef

Turner, D.[Darren], Lucieer, A.[Arko], de Jong, S.M.[Steven M.],
Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV),
RS(7), No. 2, 2015, pp. 1736-1757.
DOI Link 1503
BibRef

Dou, J.[Jie], Chang, K.T.[Kuan-Tsung], Chen, S.S.[Shui-Sen], Yunus, A.P.[Ali P.], Liu, J.K.[Jin-King], Xia, H.[Huan], Zhu, Z.F.[Zhong-Fan],
Automatic Case-Based Reasoning Approach for Landslide Detection: Integration of Object-Oriented Image Analysis and a Genetic Algorithm,
RS(7), No. 4, 2015, pp. 4318-4342.
DOI Link 1505
BibRef

Li, X.J.[Xian-Ju], Chen, W.T.[Wei-Tao], Cheng, X.W.[Xin-Wen], Wang, L.Z.[Li-Zhe],
A Comparison of Machine Learning Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery,
RS(8), No. 6, 2016, pp. 514.
DOI Link 1608
BibRef

Akcay, O.[Ozgun],
Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry,
IJGI(4), No. 4, 2015, pp. 2131.
DOI Link 1511
BibRef

Shibayama, T.[Takashi], Yamaguchi, Y.[Yoshio], Yamada, H.[Hiroyoshi],
Polarimetric Scattering Properties of Landslides in Forested Areas and the Dependence on the Local Incidence Angle,
RS(7), No. 11, 2015, pp. 15424.
DOI Link 1512
BibRef

Qiao, G.[Gang], Mi, H.[Huan], Feng, T.T.[Tian-Tian], Lu, P.[Ping], Hong, Y.[Yang],
Multiple Constraints Based Robust Matching of Poor-Texture Close-Range Images for Monitoring a Simulated Landslide,
RS(8), No. 5, 2016, pp. 396.
DOI Link 1606
BibRef

Sun, L.[Luyi], Muller, J.P.[Jan-Peter],
Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely Vegetated Steeply Sloped Areas,
RS(8), No. 8, 2016, pp. 659.
DOI Link 1609
BibRef

Manfré, L.A.[Luiz Augusto], de Albuquerque Nóbrega, R.A.[Rodrigo Affonso], Quintanilha, J.A.[José Alberto],
Evaluation of Multiple Classifier Systems for Landslide Identification in LANDSAT Thematic Mapper (TM) Images,
IJGI(5), No. 9, 2016, pp. 164.
DOI Link 1610
BibRef

Cullen, C.A.[Cheila Avalon], Al-Suhili, R.[Rafea], Khanbilvardi, R.[Reza],
Guidance Index for Shallow Landslide Hazard Analysis,
RS(8), No. 10, 2016, pp. 866.
DOI Link 1609
BibRef

Ding, C.[Chao], Feng, G.C.[Guang-Cai], Li, Z.W.[Zhi-Wei], Shan, X.J.[Xin-Jian], Du, Y.[Yanan], Wang, H.Q.[Hui-Qiang],
Spatio-Temporal Error Sources Analysis and Accuracy Improvement in Landsat 8 Image Ground Displacement Measurements,
RS(8), No. 11, 2016, pp. 937.
DOI Link 1612
BibRef

Xie, S.F.[Shao-Feng], Liang, Y.J.[Yue-Ji], Zheng, Z.T.[Zhong-Tian], Liu, H.F.[Hai-Feng],
Combined Forecasting Method of Landslide Deformation Based on MEEMD, Approximate Entropy, and WLS-SVM,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Sun, W.Y.[Wen-Yi], Tian, Y.S.[Yuan-Sheng], Mu, X.M.[Xing-Min], Zhai, J.[Jun], Gao, P.[Peng], Zhao, G.J.[Guang-Ju],
Loess Landslide Inventory Map Based on GF-1 Satellite Imagery,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Qi, S.W.[Sheng-Wen], Zou, Y.[Yu], Wu, F.Q.[Fa-Quan], Yan, C.G.[Chang-Gen], Fan, J.H.[Jing-Hui], Zang, M.D.[Ming-Dong], Zhang, S.[Shishu], Wang, R.[Ruyi],
A Recognition and Geological Model of a Deep-Seated Ancient Landslide at a Reservoir under Construction,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Liu, Y.L.[Yao-Lin], Wang, X.M.[Xiao-Mi], Liu, Q.L.[Qi-Liang], Chen, Y.Y.[Yi-Yun], Liu, L.L.[Lei-Lei],
An Improved Density-Based Time Series Clustering Method Based on Image Resampling: A Case Study of Surface Deformation Pattern Analysis,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Frodella, W.[William], Gigli, G.[Giovanni], Morelli, S.[Stefano], Lombardi, L.[Luca], Casagli, N.[Nicola],
Landslide Mapping and Characterization through Infrared Thermography (IRT): Suggestions for a Methodological Approach from Some Case Studies,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Mancini, F.[Francesco], Castagnetti, C.[Cristina], Rossi, P.[Paolo], Dubbini, M.[Marco], Fazio, N.L.[Nunzio Luciano], Perrotti, M.[Michele], Lollino, P.[Piernicola],
An Integrated Procedure to Assess the Stability of Coastal Rocky Cliffs: From UAV Close-Range Photogrammetry to Geomechanical Finite Element Modeling,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Zhao, C.Y.[Chao-Ying], Lu, Z.[Zhong],
Remote Sensing of Landslides: A Review,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
Survey, Landslides. BibRef

Barbarella, M.[Maurizio], di Benedetto, A.[Alessandro], Fiani, M.[Margherita], Guida, D.[Domenico], Lugli, A.[Andrea],
Use of DEMs Derived from TLS and HRSI Data for Landslide Feature Recognition,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Kowalczyk, K.[Kamil], Rapinski, J.[Jacek],
Verification of a GNSS Time Series Discontinuity Detection Approach in Support of the Estimation of Vertical Crustal Movements,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Bickel, V.T.[Valentin Tertius], Manconi, A.[Andrea], Amann, F.[Florian],
Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Minardo, A.[Aldo], Catalano, E.[Ester], Coscetta, A.[Agnese], Zeni, G.[Giovanni], Zhang, L.[Lei], di Maio, C.[Caterina], Vassallo, R.[Roberto], Coviello, R.[Roberto], Macchia, G.[Giuseppe], Picarelli, L.[Luciano], Zeni, L.[Luigi],
Distributed Fiber Optic Sensors for the Monitoring of a Tunnel Crossing a Landslide,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Puniach, E.[Edyta], Bieda, A.[Agnieszka], Cwiakala, P.[Pawel], Kwartnik-Pruc, A.[Anita], Parzych, P.[Piotr],
Use of Unmanned Aerial Vehicles (UAVs) for Updating Farmland Cadastral Data in Areas Subject to Landslides,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Lei, T.[Tao], Xue, D.H.[Ding-Hua], Lv, Z.Y.[Zhi-Yong], Li, S.Y.[Shu-Ying], Zhang, Y.N.[Yan-Ning], Nandi, A.K.[Asoke K.],
Unsupervised Change Detection Using Fast Fuzzy Clustering for Landslide Mapping from Very High-Resolution Images,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Bui, D.T.[Dieu Tien], Shahabi, H.[Himan], Shirzadi, A.[Ataollah], Chapi, K.[Kamran], Hoang, N.D.[Nhat-Duc], Pham, B.T.[Binh Thai], Bui, Q.T.[Quang-Thanh], Tran, C.T.[Chuyen-Trung], Panahi, M.[Mahdi], Bin Ahamd, B.[Baharin], Saro, L.[Lee],
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef
And: Erratum: RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Shen, Y.Q.[Yue-Qian], Wang, J.G.[Jin-Guo], Lindenbergh, R.[Roderik], Hofland, B.[Bas], Ferreira, V.G.[Vagner G.],
Range Image Technique for Change Analysis of Rock Slopes Using Dense Point Cloud Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Ramos-Bernal, R.N.[Rocío N.], Vázquez-Jiménez, R.[René], Romero-Calcerrada, R.[Raúl], Arrogante-Funes, P.[Patricia], Novillo, C.J.[Carlos J.],
Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Sarro, R.[Roberto], Riquelme, A.[Adrián], García-Davalillo, J.C.[Juan Carlos], Mateos, R.M.[Rosa María], Tomás, R.[Roberto], Pastor, J.L.[José Luis], Cano, M.[Miguel], Herrera, G.[Gerardo],
Rockfall Simulation Based on UAV Photogrammetry Data Obtained during an Emergency Declaration: Application at a Cultural Heritage Site,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Esmaeili, F.[Farid], Ebadi, H.[Hamid], Saadatseresht, M.[Mohammad], Kalantary, F.[Farzin],
Application of UAV Photogrammetry in Displacement Measurement of the Soil Nail Walls Using Local Features and CPDA Method,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Ghorbanzadeh, O.[Omid], Blaschke, T.[Thomas], Gholamnia, K.[Khalil], Meena, S.R.[Sansar Raj], Tiede, D.[Dirk], Aryal, J.[Jagannath],
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Ghorbanzadeh, O.[Omid], Meena, S.R.[Sansar Raj], Blaschke, T.[Thomas], Aryal, J.[Jagannath],
UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Zhu, Q.[Qing], Zhang, J.X.[Jun-Xiao], Ding, Y.L.[Yu-Lin], Liu, M.W.[Ming-Wei], Li, Y.[Yun], Feng, B.[Bin], Miao, S.X.[Shuang-Xi], Yang, W.J.[Wei-Jun], He, H.G.[Hua-Gui], Zhu, J.[Jun],
Semantics-Constrained Advantageous Information Selection of Multimodal Spatiotemporal Data for Landslide Disaster Assessment,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Liu, C.C.[Cheng-Chien], Ko, M.H.[Ming-Hsun], Wen, H.L.[Huei-Lin], Fu, K.L.[Kuei-Lin], Chang, S.T.[Shu-Ting],
Instability Index Derived from a Landslide Inventory for Watershed Stability Assessment and Mapping,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zang, Y.[Yufu], Yang, B.S.[Bi-Sheng], Li, J.P.[Jian-Ping], Guan, H.Y.[Hai-Yan],
An Accurate TLS and UAV Image Point Clouds Registration Method for Deformation Detection of Chaotic Hillside Areas,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Pham, M.Q., Lacroix, P., Doin, M.P.,
Sparsity Optimization Method for Slow-Moving Landslides Detection in Satellite Image Time-Series,
GeoRS(57), No. 4, April 2019, pp. 2133-2144.
IEEE DOI 1904
Gaussian noise, geomorphology, geophysical image processing, optimisation, remote sensing, time series, sparsity BibRef

Bui, D.T.[Dieu Tien], Shahabi, H.[Himan], Omidvar, E.[Ebrahim], Shirzadi, A.[Ataollah], Geertsema, M.[Marten], Clague, J.J.[John J.], Khosravi, K.[Khabat], Pradhan, B.[Biswajeet], Pham, B.T.[Binh Thai], Chapi, K.[Kamran], Barati, Z.[Zahra], Ahmad, B.B.[Baharin Bin], Rahmani, H.[Hosein], Gróf, G.[Gyula], Lee, S.[Saro],
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Shi, Q.A.[Qi-Ang], Dai, W.[Wujiao], Santerre, R.[Rock], Li, Z.W.[Zhi-Wei], Liu, N.[Ning],
Spatially Heterogeneous Land Surface Deformation Data Fusion Method Based on an Enhanced Spatio-Temporal Random Effect Model,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Miura, H.[Hiroyuki],
Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Bickel, V.T., Lanaras, C., Manconi, A., Loew, S., Mall, U.,
Automated Detection of Lunar Rockfalls Using a Convolutional Neural Network,
GeoRS(57), No. 6, June 2019, pp. 3501-3511.
IEEE DOI 1906
Moon, Spatial resolution, Planetary orbits, Eyes, Detectors, Feature extraction, Convolutional neural network (CNN), rockfall BibRef

Zhang, Y.H.[Yun-Hao], Zhu, J.[Jun], Li, W.[Weilian], Zhu, Q.[Qing], Hu, Y.[Ya], Fu, L.[Lin], Zhang, J.X.[Jun-Xiao], Huang, P.C.[Peng-Cheng], Xie, Y.[Yakun], Yin, L.Z.[Ling-Zhi],
Adaptive Construction of the Virtual Debris Flow Disaster Environments Driven by Multilevel Visualization Task,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Francioni, M.[Mirko], Simone, M.[Matteo], Stead, D.[Doug], Sciarra, N.[Nicola], Mataloni, G.[Giovanni], Calamita, F.[Fernando],
A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Cardenal, J.[Javier], Fernández, T.[Tomás], Pérez-García, J.L.[José Luis], Gómez-López, J.M.[José Miguel],
Measurement of Road Surface Deformation Using Images Captured from UAVs,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Ye, J.X.[Jia-Xing], Kurashima, Y.[Yuichi], Kobayashi, T.[Takeshi], Tsuda, H.[Hiroshi], Takahara, T.[Teruyoshi], Sakurai, W.[Wataru],
An Efficient In-Situ Debris Flow Monitoring System over a Wireless Accelerometer Network,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Can, R.[Recep], Kocaman, S.[Sultan], Gokceoglu, C.[Candan],
A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Stead, D.[Doug], Donati, D.[Davide], Wolter, A.[Andrea], Sturzenegger, M.[Matthieu],
Application of Remote Sensing to the Investigation of Rock Slopes: Experience Gained and Lessons Learned,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Zhao, J.W.[Jian-Wang], Chen, Y.[Yi], Zhang, H.T.[Hai-Tong], Xia, H.[Hao], Wang, Z.Y.[Zhang-Ye], Peng, Q.S.[Qun-Sheng],
Physically based modeling and animation of landslides with MPM,
VC(35), No. 9, September 2018, pp. 1223-1235.
Springer DOI 1908
BibRef

Pastor, J.L.[José Luis], Tomás, R.[Roberto], Lettieri, L.[Luca], Riquelme, A.[Adrián], Cano, M.[Miguel], Infante, D.[Donato], Ramondini, M.[Massimo], di Martire, D.[Diego],
Multi-Source Data Integration to Investigate a Deep-Seated Landslide Affecting a Bridge,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Kromer, R.[Ryan], Walton, G.[Gabe], Gray, B.[Brian], Lato, M.[Matt], Group, R.[Robert],
Development and Optimization of an Automated Fixed-Location Time Lapse Photogrammetric Rock Slope Monitoring System,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Mantovani, M.[Matteo], Bossi, G.[Giulia], Marcato, G.[Gianluca], Schenato, L.[Luca], Tedesco, G.[Giacomo], Titti, G.[Giacomo], Pasuto, A.[Alessandro],
New Perspectives in Landslide Displacement Detection Using Sentinel-1 Datasets,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Bui, D.T.[Dieu Tien], Moayedi, H.[Hossein], Gör, M.[Mesut], Jaafari, A.[Abolfazl], Foong, L.K.[Loke Kok],
Predicting Slope Stability Failure through Machine Learning Paradigms,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Moayedi, H.[Hossein], Bui, D.T.[Dieu Tien], Gör, M.[Mesut], Pradhan, B.[Biswajeet], Jaafari, A.[Abolfazl],
The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Robiati, C.[Carlo], Eyre, M.[Matt], Vanneschi, C.[Claudio], Francioni, M.[Mirko], Venn, A.[Adam], Coggan, J.[John],
Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Desrues, M.[Mathilde], Malet, J.P.[Jean-Philippe], Brenguier, O.[Ombeline], Point, J.[Julien], Stumpf, A.[André], Lorier, L.[Lionel],
TSM: Tracing Surface Motion: A Generic Toolbox for Analyzing Ground-Based Image Time Series of Slope Deformation,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Verbovšek, T.[Timotej], Popit, T.[Tomislav], Kokalj, Ž.[Žiga],
VAT Method for Visualization of Mass Movement Features: An Alternative to Hillshaded DEM,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Knevels, R.[Raphael], Petschko, H.[Helene], Leopold, P.[Philip], Brenning, A.[Alexander],
Geographic Object-Based Image Analysis for Automated Landslide Detection Using Open Source GIS Software,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Bonneau, D.[David], DiFrancesco, P.M.[Paul-Mark], Hutchinson, D.J.[D. Jean],
Surface Reconstruction for Three-Dimensional Rockfall Volumetric Analysis,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Yang, D.D.[Dong-Dong], Qiu, H.J.[Hai-Jun], Pei, Y.Q.[Yan-Qian], Hu, S.[Sheng], Ma, S.Y.[Shu-Yue], Liu, Z.J.[Zi-Jing], Zhang, Y.[Yan], Cao, M.M.[Ming-Ming],
Spatial and Temporal Evolution of the Infiltration Characteristics of a Loess Landslide,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Xiong, K.[Ke], Adhikari, B.R.[Basanta Raj], Stamatopoulos, C.A.[Constantine A.], Zhan, Y.[Yu], Wu, S.L.[Shao-Lin], Dong, Z.T.[Zhong-Tao], Di, B.F.[Bao-Feng],
Comparison of Different Machine Learning Methods for Debris Flow Susceptibility Mapping: A Case Study in the Sichuan Province, China,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Adriano, B.[Bruno], Yokoya, N.[Naoto], Miura, H.[Hiroyuki], Matsuoka, M.[Masashi], Koshimura, S.[Shunichi],
A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Zhou, C.F.[Chao-Fan], Gong, H.L.[Hui-Li], Chen, B.B.[Bei-Bei], Gao, M.L.[Ming-Liang], Cao, Q.[Qun], Cao, J.[Jin], Duan, L.[Li], Zuo, J.J.[Jun-Jie], Shi, M.[Min],
Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Prakash, N.[Nikhil], Manconi, A.[Andrea], Loew, S.[Simon],
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Reyes-Carmona, C.[Cristina], Barra, A.[Anna], Galve, J.P.[Jorge Pedro], Monserrat, O.[Oriol], Pérez-Peña, J.V.[José Vicente], Mateos, R.M.[Rosa María], Notti, D.[Davide], Ruano, P.[Patricia], Millares, A.[Agustín], López-Vinielles, J.[Juan], Azañón, J.M.[José Miguel],
Sentinel-1 DInSAR for Monitoring Active Landslides in Critical Infrastructures: The Case of the Rules Reservoir (Southern Spain),
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Lu, H.[Heng], Ma, L.[Lei], Fu, X.[Xiao], Liu, C.[Chao], Wang, Z.[Zhi], Tang, M.[Min], Li, N.[Naiwen],
Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer Learning,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Vu, D.T.[Dinh Toan], Bruinsma, S.[Sean], Bonvalot, S.[Sylvain], Remy, D.[Dominique], Vergos, G.S.[Georgios S.],
A Quasigeoid-Derived Transformation Model Accounting for Land Subsidence in the Mekong Delta towards Height System Unification in Vietnam,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Wang, K.[Kai], Xu, H.[Hui], Zhang, S.J.[Shao-Jie], Wei, F.Q.[Fang-Qiang], Xie, W.L.[Wan-Li],
Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Cui, W.Q.[Wen-Qi], He, X.[Xin], Yao, M.[Meng], Wang, Z.W.[Zi-Wei], Li, J.[Jie], Hao, Y.J.[Yuan-Jie], Wu, W.J.[Wei-Jie], Zhao, H.L.[Hui-Ling], Chen, X.F.[Xian-Feng], Cui, W.[Wei],
Landslide Image Captioning Method Based on Semantic Gate and Bi-Temporal LSTM,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Rateb, A.[Ashraf], Hermas, E.[ElSayed],
The 2018 Long Rainy Season in Kenya: Hydrological Changes and Correlated Land Subsidence,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Vitagliano, E.[Eleonora], Riccardi, U.[Umberto], Piegari, E.[Ester], Boy, J.P.[Jean-Paul], di Maio, R.[Rosa],
Multi-Component and Multi-Source Approach for Studying Land Subsidence in Deltas,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Menegoni, N.[Niccolò], Giordan, D.[Daniele], Perotti, C.[Cesare],
Reliability and Uncertainties of the Analysis of an Unstable Rock Slope Performed on RPAS Digital Outcrop Models: The Case of the Gallivaggio Landslide (Western Alps, Italy),
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zhang, F.[Fan], Hu, Z.Q.[Zhen-Qi], Fu, Y.K.[Yao-Kun], Yang, K.[Kun], Wu, Q.Y.[Qun-Ying], Feng, Z.W.[Ze-Wei],
A New Identification Method for Surface Cracks from UAV Images Based on Machine Learning in Coal Mining Areas,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Miura, T.[Tomoaki], Nagai, S.[Shin],
Landslide Detection with Himawari-8 Geostationary Satellite Data: A Case Study of a Torrential Rain Event in Kyushu, Japan,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Karantanellis, E.[Efstratios], Marinos, V.[Vassilis], Vassilakis, E.[Emmanuel], Christaras, B.[Basile],
Object-Based Analysis Using Unmanned Aerial Vehicles (UAVs) for Site-Specific Landslide Assessment,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Francioni, M.[Mirko], Antonaci, F.[Federico], Sciarra, N.[Nicola], Robiati, C.[Carlo], Coggan, J.[John], Stead, D.[Doug], Calamita, F.[Fernando],
Application of Unmanned Aerial Vehicle Data and Discrete Fracture Network Models for Improved Rockfall Simulations,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Duan, L.[Li], Gong, H.[Huili], Chen, B.B.[Bei-Bei], Zhou, C.F.[Chao-Fan], Lei, K.C.[Kun-Chao], Gao, M.L.[Ming-Liang], Yu, H.[Hairuo], Cao, Q.[Qun], Cao, J.[Jin],
An Improved Multi-Sensor MTI Time-Series Fusion Method to Monitor the Subsidence of Beijing Subway Network during the Past 15 Years,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Qi, W.W.[Wen-Wen], Wei, M.F.[Meng-Fei], Yang, W.T.[Wen-Tao], Xu, C.[Chong], Ma, C.[Chao],
Automatic Mapping of Landslides by the ResU-Net,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Giacomini, A.[Anna], Thoeni, K.[Klaus], Santise, M.[Marina], Diotri, F.[Fabrizio], Booth, S.[Shaun], Fityus, S.[Stephen], Roncella, R.[Riccardo],
Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Meldebekova, G.[Gauhar], Yu, C.[Chen], Li, Z.H.[Zhen-Hong], Song, C.[Chuang],
Quantifying Ground Subsidence Associated with Aquifer Overexploitation Using Space-Borne Radar Interferometry in Kabul, Afghanistan,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Pawluszek-Filipiak, K.[Kamila], Borkowski, A.[Andrzej],
On the Importance of Train-Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Li, F.K.[Feng-Kai], Gong, H.L.[Hui-Li], Chen, B.B.[Bei-Bei], Zhou, C.F.[Chao-Fan], Guo, L.[Lin],
Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Ding, J.Z.[Jing-Zhao], Zhao, Q.[Qing], Tang, M.[Maochuan], Calò, F.[Fabiana], Zamparelli, V.[Virginia], Falabella, F.[Francesco], Liu, M.[Min], Pepe, A.[Antonio],
On the Characterization and Forecasting of Ground Displacements of Ocean-Reclaimed Lands,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Šegina, E.[Ela], Peternel, T.[Tina], Urbancic, T.[Tilen], Realini, E.[Eugenio], Zupan, M.[Matija], Jež, J.[Jernej], Caldera, S.[Stefano], Gatti, A.[Andrea], Tagliaferro, G.[Giulio], Consoli, A.[Angelo], González, J.R.[Joaquín Reyes], Auflic, M.J.[Mateja Jemec],
Monitoring Surface Displacement of a Deep-Seated Landslide by a Low-Cost and near Real-Time GNSS System,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Navarro, J.A., Tomás, R., Barra, A., Pagán, J.I., Reyes-Carmona, C., Solari, L., Vinielles, J.L., Falco, S., Crosetto, M.,
ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Shi, M.[Min], Gong, H.L.[Hui-Li], Gao, M.L.[Ming-Liang], Chen, B.B.[Bei-Bei], Zhang, S.K.[Shun-Kang], Zhou, C.F.[Chao-Fan],
Recent Ground Subsidence in the North China Plain, China, Revealed by Sentinel-1A Datasets,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef
And: Correction: RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Grgic, M.[Marijan], Bender, J.[Josip], Bašic, T.[Tomislav],
Estimating Vertical Land Motion from Remote Sensing and In-Situ Observations in the Dubrovnik Area (Croatia): A Multi-Method Case Study,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Devoto, S.[Stefano], Macovaz, V.[Vanja], Mantovani, M.[Matteo], Soldati, M.[Mauro], Furlani, S.[Stefano],
Advantages of Using UAV Digital Photogrammetry in the Study of Slow-Moving Coastal Landslides,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Guerriero, L.[Luigi], di Martire, D.[Diego], Calcaterra, D.[Domenico], Francioni, M.[Mirko],
Digital Image Correlation of Google Earth Images for Earth's Surface Displacement Estimation,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Shi, L.Y.[Li-Yuan], Gong, H.[Huili], Chen, B.B.[Bei-Bei], Zhou, C.[Chaofan],
Land Subsidence Prediction Induced by Multiple Factors Using Machine Learning Method,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Tangdamrongsub, N.[Natthachet], Šprlák, M.[Michal],
The Assessment of Hydrologic- and Flood-Induced Land Deformation in Data-Sparse Regions Using GRACE/GRACE-FO Data Assimilation,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Sestras, P.[Paul], Bila?co, ?.[?tefan], Ro?ca, S.[Sanda], Dudic, B.[Branislav], Hysa, A.[Artan], Spalevic, V.[Velibor],
Geodetic and UAV Monitoring in the Sustainable Management of Shallow Landslides and Erosion of a Susceptible Urban Environment,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Zhang, X.K.[Xiao-Kang], Pun, M.O.[Man-On], Liu, M.[Ming],
Semi-Supervised Multi-Temporal Deep Representation Fusion Network for Landslide Mapping from Aerial Orthophotos,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Wang, J.[Jing], Nie, G.[Guigen], Gao, S.J.[Sheng-Jun], Wu, S.G.[Shu-Guang], Li, H.Y.[Hai-Yang], Ren, X.B.[Xiao-Bing],
Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Liu, P.[Peng], Wei, Y.M.[Yong-Ming], Wang, Q.J.[Qin-Jun], Xie, J.J.[Jing-Jing], Chen, Y.[Yu], Li, Z.C.[Zhi-Chao], Zhou, H.Y.[Hong-Ying],
A Research on Landslides Automatic Extraction Model Based on the Improved Mask R-CNN,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Aljammaz, A.[Abdulaziz], Sultan, M.[Mohamed], Izadi, M.[Moein], Abotalib, A.Z.[Abotalib Z.], Elhebiry, M.S.[Mohamed S.], Emil, M.K.[Mustafa Kemal], Abdelmohsen, K.[Karem], Saleh, M.[Mohamed], Becker, R.[Richard],
Land Subsidence Induced by Rapid Urbanization in Arid Environments: A Remote Sensing-Based Investigation,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Gonçalves, G.[Gil], Gonçalves, D.[Diogo], Gómez-Gutiérrez, Á.[Álvaro], Andriolo, U.[Umberto], Pérez-Alvárez, J.A.[Juan Antonio],
3D Reconstruction of Coastal Cliffs from Fixed-Wing and Multi-Rotor UAS: Impact of SfM-MVS Processing Parameters, Image Redundancy and Acquisition Geometry,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Farmakis, I.[Ioannis], Bonneau, D.[David], Hutchinson, D.J.[D. Jean], Vlachopoulos, N.[Nicholas],
Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef
Earlier:
Supervoxel-based Multi-scale Point Cloud Segmentation Using Fnea For Object-Oriented Rock Slope Classification Using Tls,
ISPRS20(B2:1049-1056).
DOI Link 2012
BibRef

Cenni, N.[Nicola], Fiaschi, S.[Simone], Fabris, M.[Massimo],
Monitoring of Land Subsidence in the Po River Delta (Northern Italy) Using Geodetic Networks,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Pu, C.H.[Chuan-Hao], Xu, Q.[Qiang], Zhao, K.Y.[Kuan-Yao], Jiang, Y.[Yanan], Hao, L.[Lina], Liu, J.L.[Jia-Liang], Chen, W.L.[Wan-Lin], Kou, P.[Pinglang],
Characterizing the Topographic Changes and Land Subsidence Associated with the Mountain Excavation and City Construction on the Chinese Loess Plateau,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Schovanec, H.[Heather], Walton, G.[Gabriel], Kromer, R.[Ryan], Malsam, A.[Adam],
Development of Improved Semi-Automated Processing Algorithms for the Creation of Rockfall Databases,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Jia, H.G.[Hong-Guo], Wei, B.W.[Bo-Wen], Liu, G.X.[Guo-Xiang], Zhang, R.[Rui], Yu, B.[Bing], Wu, S.Y.[Shuai-Ying],
A Semi-Automatic Method for Extracting Small Ground Fissures from Loess Areas Using Unmanned Aerial Vehicle Images,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Shi, W.Z.[Wen-Zhong], Zhang, M.[Min], Ke, H.F.[Hong-Fei], Fang, X.[Xin], Zhan, Z.[Zhao], Chen, S.X.[Shan-Xiong],
Landslide Recognition by Deep Convolutional Neural Network and Change Detection,
GeoRS(59), No. 6, June 2021, pp. 4654-4672.
IEEE DOI 2106
Terrain factors, Feature extraction, Training, Data mining, Image recognition, Convolutional neural networks, Remote sensing, remotely sensed (RS) images BibRef

Chen, Y.A.[Yi-An], Chang, C.P.[Chung-Pai], Hung, W.C.[Wei-Chia], Yen, J.Y.[Jiun-Yee], Lu, C.H.[Chih-Heng], Hwang, C.[Cheinway],
Space-Time Evolutions of Land Subsidence in the Choushui River Alluvial Fan (Taiwan) from Multiple-Sensor Observations,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Wang, Z.H.[Zhi-Hao], Brenning, A.[Alexander],
Active-Learning Approaches for Landslide Mapping Using Support Vector Machines,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Sajadi, P.[Payam], Sang, Y.F.[Yan-Fang], Gholamnia, M.[Mehdi], Bonafoni, S.[Stefania], Brocca, L.[Luca], Pradhan, B.[Biswajeet], Singh, A.[Amit],
Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Yu, B.[Bo], Chen, F.[Fang], Xu, C.[Chong], Wang, L.[Lei], Wang, N.[Ning],
Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Kong, X.X.[Xiang-Xiong],
Identifying Geomorphological Changes of Coastal Cliffs through Point Cloud Registration from UAV Images,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Chen, Y.Q.[Yong-Qian], Yan, S.[Songhua], Gong, J.Y.[Jian-Ya],
Deformation Estimation Using Beidou GEO-Satellite-Based Reflectometry,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Qin, S.W.[Sheng-Wu], Guo, X.[Xu], Sun, J.[Jingbo], Qiao, S.S.[Shuang-Shuang], Zhang, L.S.[Ling-Shuai], Yao, J.Y.[Jing-Yu], Cheng, Q.S.[Qiu-Shi], Zhang, Y.Q.[Yan-Qing],
Landslide Detection from Open Satellite Imagery Using Distant Domain Transfer Learning,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Al-Najjar, H.A.H.[Husam A. H.], Pradhan, B.[Biswajeet], Sarkar, R.[Raju], Beydoun, G.[Ghassan], Alamri, A.[Abdullah],
A New Integrated Approach for Landslide Data Balancing and Spatial Prediction Based on Generative Adversarial Networks (GAN),
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Kim, D.H.[Dong-Hyun], Gratchev, I.[Ivan],
Application of Optical Flow Technique and Photogrammetry for Rockfall Dynamics: A Case Study on a Field Test,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Yermolaev, O.[Oleg], Usmanov, B.[Bulat], Gafurov, A.[Artur], Poesen, J.[Jean], Vedeneeva, E.[Evgeniya], Lisetskii, F.[Fedor], Nicu, I.C.[Ionut Cristi],
Assessment of Shoreline Transformation Rates and Landslide Monitoring on the Bank of Kuibyshev Reservoir (Russia) Using Multi-Source Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yang, D.D.[Dong-Dong], Qiu, H.J.[Hai-Jun], Zhu, Y.[Yaru], Liu, Z.J.[Zi-Jing], Pei, Y.Q.[Yan-Qian], Ma, S.[Shuyue], Du, C.[Chi], Sun, H.[Hesheng], Liu, Y.[Ya], Cao, M.M.[Ming-Ming],
Landslide Characteristics and Evolution: What We Can Learn from Three Adjacent Landslides,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Shahabi, H.[Hejar], Rahimzad, M.[Maryam], Piralilou, S.T.[Sepideh Tavakkoli], Ghorbanzadeh, O.[Omid], Homayouni, S.[Saied], Blaschke, T.[Thomas], Lim, S.[Samsung], Ghamisi, P.[Pedram],
Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Bickel, V.T.[Valentin T.], Mandrake, L.[Lukas], Doran, G.[Gary],
Analyzing multi-domain learning for enhanced rockfall mapping in known and unknown planetary domains,
PandRS(182), 2021, pp. 1-13.
Elsevier DOI 2112
Rockfall, Transfer learning, Domain adaptation, Moon, Mars, Ceres BibRef

Zhang, Y.[Yi], Liu, Y.L.[Yi-Lin], Zhang, X.Y.[Xin-Yuan], Huang, H.J.[Hai-Jun], Qin, K.Y.[Ke-Yu], Bai, Z.C.[Ze-Chao], Zhou, X.H.[Xing-Hua],
Correlation Analysis between Land-Use/Cover Change and Coastal Subsidence in the Yellow River Delta, China: Reviewing the Past and Prospecting the Future,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Hughes, K.E.[Katie E.], Wild, A.[Amanda], Kwoll, E.[Eva], Geertsema, M.[Marten], Perry, A.[Alexandra], Harrison, K.D.[K. Darcy],
Remote Sensing of Landslide-Generated Sediment Plumes, Peace River, British Columbia,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhao, Y.[Yan], Meng, X.M.[Xing-Min], Qi, T.J.[Tian-Jun], Chen, G.[Guan], Li, Y.[Yajun], Yue, D.X.[Dong-Xia], Qing, F.[Feng],
Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Xia, W.[Wei], Chen, J.[Jun], Liu, J.B.[Jian-Bo], Ma, C.H.[Cai-Hong], Liu, W.[Wei],
Landslide Extraction from High-Resolution Remote Sensing Imagery Using Fully Convolutional Spectral-Topographic Fusion Network,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhan, Z.[Zhao], Shi, W.Z.[Wen-Zhong], Zhang, M.[Min], Liu, Z.[Zhewei], Peng, L.[Linya], Yu, Y.[Yue], Sun, Y.J.[Yang-Jie],
Landslide Trail Extraction Using Fire Extinguishing Model,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wang, R.[Rui], Wu, K.[Kan], He, Q.[Qimin], He, Y.[Yibo], Gu, Y.Y.[Yuan-Yuan], Wu, S.[Shuang],
A Novel Method of Monitoring Surface Subsidence Law Based on Probability Integral Model Combined with Active and Passive Remote Sensing Data,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Liu, J.[Jia], Wu, Y.M.[Yu-Ming], Gao, X.[Xing], Zhang, X.[Xuehua],
A Simple Method of Mapping Landslides Runout Zones Considering Kinematic Uncertainties,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Hermle, D.[Doris], Gaeta, M.[Michele], Krautblatter, M.[Michael], Mazzanti, P.[Paolo], Keuschnig, M.[Markus],
Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Mineo, S.[Simone], Caliò, D.[Davide], Pappalardo, G.[Giovanna],
UAV-Based Photogrammetry and Infrared Thermography Applied to Rock Mass Survey for Geomechanical Purposes,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Gao, Y.P.[Ya-Ping], Chen, X.[Xi], Tu, R.[Rui], Chen, G.[Guo], Luo, T.[Tong], Xue, D.D.[Dong-Dong],
Prediction of Landslide Displacement Based on the Combined VMD-Stacked LSTM-TAR Model,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Song, S.Y.[Sheng-Yuan], Zhao, M.Y.[Ming-Yu], Zhu, C.[Chun], Wang, F.Y.[Feng-Yan], Cao, C.[Chen], Li, H.J.[Hao-Jie], Ma, M.[Muye],
Identification of the Potential Critical Slip Surface for Fractured Rock Slope Using the Floyd Algorithm,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Tzampoglou, P.[Ploutarchos], Loukidis, D.[Dimitrios], Koulermou, N.[Niki],
Seasonal Ground Movement Due to Swelling/Shrinkage of Nicosia Marl,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Wang, P.[Ping], Deng, X.D.[Xing-Dong], Liu, Y.[Yang], Guo, L.[Liang], Zhu, J.[Jun], Fu, L.[Lin], Xie, Y.[Yakun], Li, W.L.[Wei-Lian], Lai, J.B.[Jian-Bo],
A Knowledge Discovery Method for Landslide Monitoring Based on K-Core Decomposition and the Louvain Algorithm,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Kuang, P.[Ping], Li, R.F.[Rong-Fan], Huang, Y.[Ying], Wu, J.[Jin], Luo, X.C.[Xu-Cheng], Zhou, F.[Fan],
Landslide Displacement Prediction via Attentive Graph Neural Network,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Confuorto, P.[Pierluigi], Medici, C.[Camilla], Bianchini, S.[Silvia], del Soldato, M.[Matteo], Rosi, A.[Ascanio], Segoni, S.[Samuele], Casagli, N.[Nicola],
Machine Learning for Defining the Probability of Sentinel-1 Based Deformation Trend Changes Occurrence,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yang, R.[Ruilin], Zhang, F.[Feng], Xia, J.[Junshi], Wu, C.[Chuyi],
Landslide Extraction Using Mask R-CNN with Background-Enhancement Method,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Lindsay, E.[Erin], Frauenfelder, R.[Regula], Rüther, D.[Denise], Nava, L.[Lorenzo], Rubensdotter, L.[Lena], Strout, J.[James], Nordal, S.[Steinar],
Multi-Temporal Satellite Image Composites in Google Earth Engine for Improved Landslide Visibility: A Case Study of a Glacial Landscape,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Wang, L.[Luyao], Qiu, H.J.[Hai-Jun], Zhou, W.Q.[Wen-Qi], Zhu, Y.[Yaru], Liu, Z.[Zijing], Ma, S.[Shuyue], Yang, D.D.[Dong-Dong], Tang, B.Z.[Bing-Zhe],
The Post-Failure Spatiotemporal Deformation of Certain Translational Landslides May Follow the Pre-Failure Pattern,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Dong, Z.Y.[Zhang-Yu], An, S.[Sen], Zhang, J.[Jin], Yu, J.Q.[Jin-Qiu], Li, J.H.[Jin-Hui], Xu, D.[Daoli],
L-Unet: A Landslide Extraction Model Using Multi-Scale Feature Fusion and Attention Mechanism,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Senogles, A.[Andrew], Olsen, M.J.[Michael J.], Leshchinsky, B.[Ben],
SlideSim: 3D Landslide Displacement Monitoring through a Physics-Based Simulation Approach to Self-Supervised Learning,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Zhang, T.X.[Teng-Xu], Shen, Z.[Ziyu], He, L.[Lin], Shen, W.B.[Wen-Bin], Li, W.[Wei],
Strain Field Features and Three-Dimensional Crustal Deformations Constrained by Dense GRACE and GPS Measurements in NE Tibet,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Yang, Z.Q.[Zhi-Qiang], Xu, C.[Chong], Li, L.[Lei],
Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Kelevitz, K.[Krisztina], Novellino, A.[Alessandro], Watlet, A.[Arnaud], Boyd, J.[James], Whiteley, J.[James], Chambers, J.[Jonathan], Jordan, C.[Colm], Wright, T.[Tim], Hooper, A.[Andrew], Biggs, J.[Juliet],
Ground and Satellite-Based Methods of Measuring Deformation at a UK Landslide Observatory: Comparison and Integration,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Zhu, X.[Xing], Zhang, F.[Fuling], Deng, M.L.[Mao-Lin], Liu, J.F.[Jun-Feng], He, Z.Q.[Zhao-Qing], Zhang, W.G.[Wen-Gang], Gu, X.[Xin],
A Hybrid Machine Learning Model Coupling Double Exponential Smoothing and ELM to Predict Multi-Factor Landslide Displacement,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, Y.[Yang], Yao, X.[Xin], Gu, Z.K.[Zhen-Kui], Zhou, Z.K.[Zhen-Kai], Liu, X.H.[Xing-Hong], Chen, X.M.[Xing-Ming], Wei, S.[Shangfei],
Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R-CNN Model in the Eastern Tibet Plateau,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, G.[Gen], Ding, Z.[Zegang], Li, M.[Mofan], Hu, Z.[Zihan], Jia, X.T.[Xiao-Tian], Li, H.[Han], Zeng, T.[Tao],
Bayesian Estimation of Land Deformation Combining Persistent and Distributed Scatterers,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

He, H.Q.[Hai-Qing], Li, C.C.[Chang-Cheng], Yang, R.[Ronghao], Zeng, H.[Huaien], Li, L.[Lin], Zhu, Y.F.[Yu-Feng],
Multisource Data Fusion and Adversarial Nets for Landslide Extraction from UAV-Photogrammetry-Derived Data,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Peternel, T.[Tina], Janža, M.[Mitja], Šegina, E.[Ela], Bezak, N.[Nejc], Macek, M.[Matej],
Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Jing, C.[Ce], Huang, G.[Guanwen], Zhang, Q.[Qin], Li, X.[Xin], Bai, Z.W.[Zheng-Wei], Du, Y.[Yuan],
GNSS/Accelerometer Adaptive Coupled Landslide Deformation Monitoring Technology,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Charléty, A.[Arthur], Le Breton, M.[Mathieu], Larose, E.[Eric], Baillet, L.[Laurent],
2D Phase-Based RFID Localization for On-Site Landslide Monitoring,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhou, Y.X.[Yong-Xiu], Wang, H.H.[Hong-Hui], Yang, R.[Ronghao], Yao, G.[Guangle], Xu, Q.[Qiang], Zhang, X.J.[Xiao-Juan],
A Novel Weakly Supervised Remote Sensing Landslide Semantic Segmentation Method: Combining CAM and cycleGAN Algorithms,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yu, C.X.[Chun-Xiao], Huo, J.[Jiuyuan], Li, C.[Chaojie], Zhang, Y.[Yaonan],
Landslide Displacement Prediction Based on a Two-Stage Combined Deep Learning Model under Small Sample Condition,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Balbi, E.[Evandro], Ferretti, G.[Gabriele], Ferrando, A.[Andrea], Faccini, F.[Francesco], Crispini, L.[Laura], Cianfarra, P.[Paola], Scafidi, D.[Davide], Barani, S.[Simone], Tosi, S.[Silvano], Terrone, M.[Martino],
CAPS: A New Method for the Identification of Different Surface Displacements in Landslide and Subsidence Environments through Correlation Analysis on Persistent Scatterers Time-Series from PSI,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, H.[Hu], Ren, Y.Y.[Ying-Ying], Wang, A.[Ahao], Wang, J.[Jiexian], Cheng, Y.[Yingyan], Fang, S.[Shushan], Yang, Q.[Qiang],
Two-Decade GNSS Observation Processing and Analysis with the New IGS Repro3 Criteria: Implications for the Refinement of Velocity Field and Deformation Field in Continental China,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef


Bolkas, D., Walton, G., Kromer, R., Sichler, T., Weidner, L.,
A Novel Approach to Register Multi-platform Point Clouds for Rockfall Monitoring,
ISPRS21(B2-2021: 693-700).
DOI Link 2201
BibRef

Singh, P., Maurya, V., Dwivedi, R.,
Pixel Based Landslide Identification Using Landsat 8 and GEE,
ISPRS21(B3-2021: 721-726).
DOI Link 2201
BibRef

Ariza, A., Davila, N.A., Kemper, H., Kemper, G.,
Landslide Detection In Central America Using the Differential Bare Soil Index,
ISPRS21(B3-2021: 679-684).
DOI Link 2201
BibRef

Wu, Z., Ma, P.,
ESRGAN-based DEM Super-Resolution for Enhanced Slope Deformation Monitoring In Lantau Island of Hong Kong,
ISPRS20(B3:351-356).
DOI Link 2012
BibRef

Huang, G., Fan, H., Lu, L., Yu, W.,
Land Subsidence Monitoring In Dezhou City Based on Sbas-insar Technology,
ISPRS20(B3:299-304).
DOI Link 2012
BibRef

Yeh, T.W., Chuang, R.Y.,
Morphological Analysis of Landslides In Extreme Topography By UAS-SFM: Data Acquisition, 3d Models and Change Detection,
ISPRS20(B5:173-178).
DOI Link 2012
BibRef

Can, R., Kocaman, S., Gokceoglu, C.,
Development of A Citsci and Artificial Intelligence Supported Gis Platform for Landslide Data Collection,
ISPRS20(B5:43-50).
DOI Link 2012
BibRef

Hashiba, H., Sonobe, M.,
Extraction of Scattered Small-scale Landslides Distribution By Object-based Classification Using Optical High-resolution Satellite Images,
ISPRS20(B3:1213-1218).
DOI Link 2012
BibRef

Morales, V.A., Galvis, J.R., García, E.G., Salcedo, I.L.,
NDEI-based Mapping of Land Surface Changes,
Gi4DM19(31-36).
DOI Link 1912
BibRef

Eppich, R., Mahessar, K.A., Nawaz, S.,
Monitoring Movement At Makli,
CIPA19(443-447).
DOI Link 1912
BibRef

Yarmohammad Touski, M., Veiskarami, M., Dehghani, M.,
Interferometric Point Target Analysis (ipta) for Landslide Monitoring,
SMPR19(1079-1083).
DOI Link 1912
BibRef

Karantanellis, E., Marinos, V., Vassilakis, E.,
3d Hazard Analysis and Object-based Characterization of Landslide Motion Mechanism Using UAV Imagery,
UAV-g19(425-430).
DOI Link 1912
BibRef

Morocho, V., España, D.A., Serrano, A.C., Achig, R., Crompvoets, J.,
Mass Movements Detection From UAV Images Analysis,
UAV-g19(461-467).
DOI Link 1912
BibRef

Rau, J.Y., Jhan, J.P., Andaru, R.,
Landslide Deformation Monitoring By Three-camera Imaging System,
UAV-g19(559-565).
DOI Link 1912
BibRef

Giangregorio, M.C., Cortinovis, N., Cardani, G., Coronelli, D.,
Integrated Approach Combining Direct Survey and Observation in Damage Analysis in Case of Soil Settlement,
GEORES19(565-572).
DOI Link 1912
BibRef

Dabiri, Z., Hölbling, D., Abad, L., Tiede, D.,
Assessment of Landslide-induced Morphology Changes Using An Object-based Image Analysis Approach: a Case Study of HÍtardalur, Iceland,
Gi4DM19(109-114).
DOI Link 1912
BibRef

Nasir, N.S., Abdul-Khanan, M.F., Othman, S.H., Abdul-Rahman, M.Z., Razak, K.A., Mohamed Salleh, M.R., Umar, H.A., Abdul-Razak, A.N.,
Assimilating Geospatial Metamodel And Inventory Mapping For Non-structural Mitigation of Landslide,
GeoDisast18(217-228).
DOI Link 1901
BibRef

Mohd Salleh, M.R., Ismail, Z., Mohd Ariff, S.A., Abd Rahman, M.Z., Abdul Khanan, M.F., Asmadi, M.A., Razak, K.A.,
Spatial Prediction Models for Landslide Activity Mapping Using Vegetation Anomalies,
GGT19(441-449).
DOI Link 1912
BibRef

Mohamed Salleh, M.R., Ishak, N.I., Razak, K.A., Abd Rahman, M.Z., Asmadi, M.A., Ismail, Z., Abdul-Khanan, M.F.,
Geospatial Approach for Landslide Activity Assessment and Mapping Based on Vegetation Anomalies,
GeoDisast18(201-215).
DOI Link 1901
BibRef

Kocaman, S., Gokceoglu, C.,
Possible Contributions Of Citizen Science for Landslide Hazard Assessment,
Gi4DM18(295-300).
DOI Link 1805
BibRef

Ma, J., Tang, H., Wen, T., Liu, X.,
A Hybrid Approach For Prediction Of Changes In Landslide Rates Based On Clustering And A Decision Tree,
Gi4DM18(335-341).
DOI Link 1805
BibRef

Sengar, S.S., Ghosh, S.K., Kumar, A., Chaudhary, H.,
Landslide Identification from IRS-P6 LISS-IV Temporal DATA: A Comparative Study Using Fuzzy Based Classifiers,
Gi4DM18(461-467).
DOI Link 1805
BibRef

Monserrat, O., Barra, A., Herrera, G., Bianchini, S., Lopez, C., Onori, R., Reichenbach, P., Sarro, R., Mateos, R.M., Solari, L., Ligüérzana, S., Carralero, I.P.,
Safety Project: Sentinel-1 Based Tools for Geohazards Monitoring And Management,
Gi4DM18(351-355).
DOI Link 1805
BibRef

Comert, R., Avdan, U., Gorum, T.,
Rapid Mapping Of Forested Landslide From Ultra-high Resolution Unmanned Aerial Vehicle Data,
Gi4DM18(171-176).
DOI Link 1805
BibRef

Phillips, N., Hassan, G.M., Dyskin, A., MacNish, C., Pasternak, E.,
Digital image correlation to analyze nonlinear elastic behavior of materials,
ICIP17(4367-4371)
IEEE DOI 1803
elastic deformation, elastic hysteresis, elasticity, finite element analysis, image reconstruction, Surface treatment BibRef

Manousakis, J., Zekkos, D., Saroglou, F., Clark, M.,
Comparison of UAV-Enabled Photogrammetry-Based 3D Point Clouds and Interpolated DSMs of Sloping Terrain for Rockfall Hazard Analysis,
GeoInfo16(71-77).
DOI Link 1612
BibRef

Fratarcangeli, F., Nascetti, A., Capaldo, P., Mazzoni, A., Crespi, M.,
Centimeter Cosmo-Skymed Range Measurements For Monitoring Ground Displacements,
ISPRS16(B7: 815-820).
DOI Link 1610
BibRef

Fanara, L., Gwinner, K., Hauber, E., Oberst, J.,
Mass Movements' Detection In Hirise Images Of The North Pole Of Mars,
ISPRS16(B4: 383-384).
DOI Link 1610
BibRef

Oda, K.[Kazuo], Hattori, S.[Satoko], Takayama, T.[Toko],
Detection Of Slope Movement By Comparing Point Clouds Created by SFM Software,
ISPRS16(B5: 553-556).
DOI Link 1610
BibRef

Adams, M.S., Fromm, R., Lechner, V.,
High-resolution Debris Flow Volume Mapping With Unmanned Aerial Systems (uas) And Photogrammetric Techniques,
ISPRS16(B1: 749-755).
DOI Link 1610
BibRef

Dewez, T.J.B., Leroux, J., Morelli, S.,
Cliff Collapse Hazard From Repeated Multicopter UAV Acquisitions: Return On Experience,
ISPRS16(B5: 805-811).
DOI Link 1610
BibRef

Chidburee, P., Mills, J.P., Miller, P.E., Fieber, K.D.,
Towards A Low-cost, Real-time Photogrammetric Landslide Monitoring System Utilising Mobile And Cloud Computing Technology,
ISPRS16(B5: 791-797).
DOI Link 1610
BibRef

Yordanov, V., Scaioni, M., Brunetti, M.T., Melis, M.T., Zinzi, A., Giommi, P.,
Mapping Landslides In Lunar Impact Craters Using Chebyshev Polynomials and DEM's,
ISPRS16(B6: 17-24).
DOI Link 1610
BibRef

Peppa, M.V., Mills, J.P., Moore, P., Miller, P.E., Chambers, J.E.,
Accuracy Assessment of a UAV-based Landslide Monitoring System,
ISPRS16(B5: 895-902).
DOI Link 1610
BibRef

Liu, W.C.[Wen-Cheng], Huang, W.C.[Wei-Che],
Close Range Digital Photogrammetry Applied To Topography And Landslide Measurements,
ISPRS16(B5: 875-880).
DOI Link 1610
BibRef

Mozas-Calvache, A.T., Pérez-García, J.L., Fernández-del Castillo, T., Gómez-López, J.M., Colomo-Jiménez, C.,
Analysis Of Landslides Based On Displacements Of Lines,
ISPRS16(B7: 549-555).
DOI Link 1610
BibRef

Lazecky, M., Comut, F.C.[F. Canaslan], Nikolaeva, E., Bakon, M., Papco, J., Ruiz-Armenteros, A.M., Qin, Y., de Sousa, J.J.M., Ondrejka, P.,
Potential Of Sentinel-1a For Nation-wide Routine Updates Of Active Landslide Maps,
ISPRS16(B7: 775-781).
DOI Link 1610
BibRef

Cao, W., Tong, X.H., Liu, S.C., Wang, D.,
Landslides Extraction From Diverse Remote Sensing Data Sources Using Semantic Reasoning Scheme,
ISPRS16(B8: 25-31).
DOI Link 1610
BibRef

Acharya, T.D., Mainali, S.C., Yang, I.T., Lee, D.H.,
Analysis of Jure Landslide Dam, Sindhupalchowk Using GIS and Remote Sensing,
ISPRS16(B6: 201-203).
DOI Link 1610
BibRef

Dinh, N.V.[Nghia V.], Hassan, G.M.[Ghulam Mubashar], Dyskin, A.V.[Arcady V.], MacNish, C.[Cara],
Digital image correlation for small strain measurement in deformable solids and geomechanical structures,
ICIP15(3324-3328)
IEEE DOI 1512
DIC Geology and biomedical. Correlation based. BibRef

Peterman, V.,
Landslide Activity Monitoring with the Help of Unmanned Aerial Vehicle,
UAV-g15(215-218).
DOI Link 1512
BibRef

Noack, S., Knobloch, A., Etzold, S.H., Barth, A., Kallmeier, E.,
Spatial predictive mapping using artificial neural networks,
Geospatial14(79-86).
DOI Link 1411
Slope stability. BibRef

Zhan, Z.Q.[Zong-Qian], Lai, B.H.[Bing-Hua],
Vegetation detection of close-range images for landslide monitoring,
CVRS12(13-18).
IEEE DOI 1302
BibRef

Das, I., Oberai, K., Sarathi Roy, P.,
Database Organisation In A Web-enabled Free And Open-source Software (FOSS) Environment For Spatio-temporal Landslide Modelling,
AnnalsPRS(I-4), No. 2012, pp. 293-298.
HTML Version. 1209
BibRef

Miller, P.E., Mills, J.P., Barr, S.L., Birkinshaw, S.J.,
Geospatial Data Integration For Assessing Landslide Hazard On Engineered Slopes,
ISPRS12(XXXIX-B5:529-534).
DOI Link 1209
BibRef

Martha, T.R.[Tapas R.], Kerle, N.[Norman],
Segment Optimisation for Object-Based Landslide Detection,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Niethammer, U., Rothmund, S., Joswig, M., James, M.R., Travelletti, J.,
UAV-based Remote Sensing Of Landslides,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Landslide Analysis, LiDAR, Laser Scanner .


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