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
Tofani, V.[Veronica],
Raspini, F.[Federico],
Catani, F.[Filippo],
Casagli, N.[Nicola],
Persistent Scatterer Interferometry (PSI) Technique for Landslide
Characterization and Monitoring,
RS(5), No. 3, March 2013, pp. 1045-1065.
DOI Link
1304
Award, Remote Sensing 10th, Rank 3.
BibRef
Bianchini, S.[Silvia],
Solari, L.[Lorenzo],
Casagli, N.[Nicola],
A GIS-Based Procedure for Landslide Intensity Evaluation and Specific
risk Analysis Supported by Persistent Scatterers Interferometry (PSI),
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Ghuffar, S.[Sajid],
Székely, B.[Balázs],
Roncat, A.[Andreas],
Pfeifer, N.[Norbert],
Landslide Displacement Monitoring Using 3D Range Flow on Airborne
and Terrestrial LiDAR Data,
RS(5), No. 6, 2013, pp. 2720-2745.
DOI Link
1307
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.[Shuisen],
Yunus, A.P.[Ali P.],
Liu, J.K.[Jin-King],
Xia, H.[Huan],
Zhu, Z.[Zhongfan],
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],
Cheng, X.W.[Xin-Wen],
Chen, W.T.[Wei-Tao],
Chen, G.[Gang],
Liu, S.W.[Sheng-Wei],
Identification of Forested Landslides Using LiDar Data, Object-based
Image Analysis, and Machine Learning Algorithms,
RS(7), No. 8, 2015, pp. 9705.
DOI Link
1509
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
Pradhan, B.,
Jebur, M.N.,
Shafri, H.Z.M.,
Tehrany, M.S.,
Data Fusion Technique Using Wavelet Transform and Taguchi Methods for
Automatic Landslide Detection From Airborne Laser Scanning Data and
QuickBird Satellite Imagery,
GeoRS(54), No. 3, March 2016, pp. 1610-1622.
IEEE DOI
1603
Image segmentation
BibRef
Mezaal, M.R.[Mustafa Ridha],
Pradhan, B.[Biswajeet],
Rizeei, H.M.[Hossein Mojaddadi],
Improving Landslide Detection from Airborne Laser Scanning Data Using
Optimized Dempster-Shafer,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
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
Hsieh, Y.C.[Yu-Chung],
Chan, Y.C.[Yu-Chang],
Hu, J.C.[Jyr-Ching],
Chen, Y.Z.[Yi-Zhong],
Chen, R.F.[Rou-Fei],
Chen, M.M.[Mien-Ming],
Direct Measurements of Bedrock Incision Rates on the Surface of a
Large Dip-slope Landslide by Multi-Period Airborne Laser Scanning
DEMs,
RS(8), No. 11, 2016, pp. 900.
DOI Link
1612
BibRef
Ding, C.[Chao],
Feng, G.C.[Guang-Cai],
Li, Z.W.[Zhi-Wei],
Shan, X.J.[Xin-Jian],
Du, Y.[Yanan],
Wang, H.[Huiqiang],
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
Barbarella, M.[Maurizio],
Fiani, M.[Margherita],
Lugli, A.[Andrea],
Uncertainty in Terrestrial Laser Scanner Surveys of Landslides,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link
1703
BibRef
Dall'Asta, E.[Elisa],
Forlani, G.[Gianfranco],
Roncella, R.[Riccardo],
Santise, M.[Marina],
Diotri, F.[Fabrizio],
Morra di Cella, U.[Umberto],
Unmanned Aerial Systems and DSM matching for rock glacier monitoring,
PandRS(127), No. 1, 2017, pp. 102-114.
Elsevier DOI
1704
UAS
BibRef
Sun, W.[Wenyi],
Tian, Y.[Yuansheng],
Mu, X.[Xingmin],
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
Kamps, M.[Martijn],
Bouten, W.[Willem],
Seijmonsbergen, A.C.[Arie C.],
LiDAR and Orthophoto Synergy to optimize Object-Based Landscape Change:
Analysis of an Active Landslide,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Chen, X.,
Yu, K.,
Wu, H.,
Determination of Minimum Detectable Deformation of Terrestrial Laser
Scanning Based on Error Entropy Model,
GeoRS(56), No. 1, January 2018, pp. 105-116.
IEEE DOI
1801
Entropy, Laser beams, Monitoring, Strain, Surface emitting lasers,
Uncertainty, Deformation monitoring,
terrestrial laser scanning (TLS)
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
Wu, X.[Xuerui],
Jin, S.[Shuanggen],
Chang, L.[Liang],
Monitoring Bare Soil Freeze-Thaw Process Using GPS-Interferometric
Reflectometry: Simulation and Validation,
RS(10), No. 1, 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
Bunn, M.D.[Michael D.],
Leshchinsky, B.A.[Ben A.],
Olsen, M.J.[Michael J.],
Booth, A.[Adam],
A Simplified, Object-Based Framework for Efficient Landslide
Inventorying Using LIDAR Digital Elevation Model Derivatives,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
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.[Bisheng],
Li, J.P.[Jian-Ping],
Guan, H.[Haiyan],
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
Terefenko, P.[Pawel],
Paprotny, D.[Dominik],
Giza, A.[Andrzej],
Morales-Nápoles, O.[Oswaldo],
Kubicki, A.[Adam],
Walczakiewicz, S.[Szymon],
Monitoring Cliff Erosion with LiDAR Surveys and Bayesian
Network-based Data Analysis,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
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
Pawluszek, K.[Kamila],
Marczak, S.[Sylwia],
Borkowski, A.[Andrzej],
Tarolli, P.[Paolo],
Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on
an Extended Set of LiDAR-Derived Terrain Features,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Earlier: A1, A3, A4, Only:
Towards the Optimal Pixel Size of DEM for Automatic Mapping of
Landslide Areas,
Hannover17(83-90).
DOI Link
1805
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
Ossowski, R.[Rafal],
Przyborski, M.[Marek],
Tysiac, P.[Pawel],
Stability Assessment of Coastal Cliffs Incorporating Laser Scanning
Technology and a Numerical Analysis,
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
Lu, P.[Ping],
Bai, S.[Shibiao],
Tofani, V.[Veronica],
Casagli, N.[Nicola],
Landslides detection through optimized hot spot analysis on
persistent scatterers and distributed scatterers,
PandRS(156), 2019, pp. 147-159.
Elsevier DOI
1909
Persistent scatterers, Distributed scatterers, Landslides,
Optimized hot spot analysis
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.[Dongdong],
Qiu, H.[Haijun],
Pei, Y.[Yanqian],
Hu, S.[Sheng],
Ma, S.[Shuyue],
Liu, Z.[Zijing],
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.[Shaolin],
Dong, Z.[Zhongtao],
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
Strozzi, T.[Tazio],
Caduff, R.[Rafael],
Jones, N.[Nina],
Barboux, C.[Chloé],
Delaloye, R.[Reynald],
Bodin, X.[Xavier],
Kääb, A.[Andreas],
Mätzler, E.[Eva],
Schrott, L.[Lothar],
Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture
Radar,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Zhou, C.[Chaofan],
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.[Junjie],
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
de Sanjosé-Blasco, J.J.[José Juan],
López-González, M.[Mariló],
Alonso-Pérez, E.[Estrella],
Serrano, E.[Enrique],
Modelling and Terrestrial Laser Scanning Methodology (2009-2018) on
Debris Cones in Temperate High Mountains,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
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.[Wenqi],
He, X.[Xin],
Yao, M.[Meng],
Wang, Z.[Ziwei],
Li, J.[Jie],
Hao, Y.J.[Yuan-Jie],
Wu, W.[Weijie],
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
Bakula, K.[Krzysztof],
Pilarska, M.[Magdalena],
Salach, A.[Adam],
Kurczynski, Z.[Zdzislaw],
Detection of Levee Damage Based on UAS Data: Optical Imagery and
LiDAR Point Clouds,
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.[Zhenqi],
Fu, Y.[Yaokun],
Yang, K.[Kun],
Wu, Q.[Qunying],
Feng, Z.[Zewei],
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
Fanos, A.M.[Ali Mutar],
Pradhan, B.[Biswajeet],
Alamri, A.[Abdullah],
Lee, C.W.[Chang-Wook],
Machine Learning-Based and 3D Kinematic Models for Rockfall Hazard
Assessment Using LiDAR Data and GIS,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
DiFrancesco, P.M.[Paul-Mark],
Bonneau, D.[David],
Hutchinson, D.J.[D. Jean],
The Implications of M3C2 Projection Diameter on 3D Semi-Automated
Rockfall Extraction from Sequential Terrestrial Laser Scanning Point
Clouds,
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
Kravcov, A.[Alexander],
Cherepetskaya, E.[Elena],
Svoboda, P.[Pavel],
Blokhin, D.[Dmitry],
Ivanov, P.[Pavel],
Shibaev, I.[Ivan],
Thermal Infrared Radiation and Laser Ultrasound for Deformation and
Water Saturation Effects Testing in Limestone,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Conforti, M.[Massimo],
Mercuri, M.[Michele],
Borrelli, L.[Luigi],
Morphological Changes Detection of a Large Earthflow Using Archived
Images, LiDAR-Derived DTM, and UAV-Based Remote Sensing,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
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.[Haiyang],
Ren, X.[Xiaobing],
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
DiFrancesco, P.M.[Paul-Mark],
Bonneau, D.A.[David A.],
Hutchinson, D.J.[D. Jean],
Computational Geometry-Based Surface Reconstruction for Volume
Estimation: A Case Study on Magnitude-Frequency Relations for a
LiDAR-Derived Rockfall Inventory,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Holst, C.[Christoph],
Janßen, J.[Jannik],
Schmitz, B.[Berit],
Blome, M.[Martin],
Dercks, M.[Malte],
Schoch-Baumann, A.[Anna],
Blöthe, J.[Jan],
Schrott, L.[Lothar],
Kuhlmann, H.[Heiner],
Medic, T.[Tomislav],
Increasing Spatio-Temporal Resolution for Monitoring Alpine
Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
TLS.
Monitoring the gradual movements of soil masses due to freeze-thaw activity.
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
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
Hung, C.L.J.,
Tseng, C.W.,
Huang, M.J.,
Tseng, C.M.,
Chang, K.J.,
Multi-temporal High-resolution Landslide Monitoring Based On Uas
Photogrammetry and Uas Lidar Geoinformation,
Gi4DM19(157-160).
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
Parente, C.,
Pepe, M.,
Uncertainty In Landslides Volume Estimation Using DEMS Generated By
Airborne Laser Scanner and Photogrammetry Data,
Gi4DM18(397-404).
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
Russhakim, N.A.S.,
Ariff, M.F.M.,
Darwin, N.,
Majid, Z.,
Idris, K.M.,
Abbas, M.A.,
Zainuddin, N.K.,
Yusoff, A.R.,
The Suitability of Terrestrial Laser Scanning for Strata Building,
GeoDisast18(67-76).
DOI Link
1901
See also Study About Terrestrial Laser Scanning for Reconstruction of Precast Concrete to Support Qlassic Assessment, A.
BibRef
Ahmad Fuad, N.,
Yusoff, A.R.,
Mat Zam, P.M.,
Aspuri, A.,
Salleh, M.F.,
Ismail, Z.,
Abbas, M.A.,
Ariff, M.F.M.,
Idris, K.M.,
Majid, Z.,
Evaluating Mobile Laser Scanning For Landslide Monitoring,
Gi4DM18(211-219).
DOI Link
1805
BibRef
Ahmad Fuad, N.,
Yusoff, A.R.,
Ismail, Z.,
Majid, Z.,
Comparing the Performance of Point Cloud Registration Methods For
Landslide Monitoring Using Mobile Laser Scanning Data,
GeoDisast18(11-21).
DOI Link
1901
BibRef
Mat Zam, P.M.,
Ahmad Fuad, N.,
Yusoff, A.R.,
Majid, Z.,
Evaluating the Performance of Terrestrial Laser Scanning for Landslide
Monitoring,
GeoDisast18(35-55).
DOI Link
1901
BibRef
Bibi, T.,
Azahari Razak, K.,
Abdul Rahman, A.,
Latif, A.,
Spatio Temporal Detection and Virtual Mapping of Landslide Using
High-Resolution Airborne Laser Altimetry (LIDAR) in Densely Vegetated
Areas of Tropics,
GeoDisast17(21-30).
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
Pilarska, M.,
Ostrowski, W.,
Bakula, K.,
Górski, K.,
Kurczynski, Z.,
The Potential of Light Laser Scanners Developed for Unmanned Aerial
Vehicles: The Review and Accuracyn,
GeoInfo16(87-95).
DOI Link
1612
BibRef
Bakula, K.,
Ostrowski, W.,
Szender, M.,
Plutecki, W.,
Salach, A.,
Górski, K.,
Possibilities For Using Lidar and Photogrammetric Data Obtained with an
Unmanned Aerial Vehicle for Levee Monitoring,
ISPRS16(B1: 773-780).
DOI Link
1610
BibRef
Kim, G.,
Yune, C.Y.,
Paik, J.,
Lee, S.W.,
Analysis Of Debris Flow Behavior Using Airborne Lidar And Image Data,
ISPRS16(B8: 85-88).
DOI Link
1610
BibRef
Hu, W.[Wenmin],
Wu, L.X.[Li-Xin],
Ground Deformation Extraction Using Visible Images And Lidar Data In
Mining Area,
ISPRS16(B7: 505-512).
DOI Link
1610
BibRef
Herrero-Huertaa, M.[Mónica],
Lindenbergh, R.[Roderik],
Ponsioen, L.[Luc],
van Damme, M.[Myron],
Morphological Changes Along A Dike Landside Slope Sampled By 4d High
Resolution Terrestrial Laser Scanning,
ISPRS16(B3: 227-232).
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
Pawluszek, K.[Kamila],
Borkowski, A.[Andrzej],
Landslides Identification Using Airborne Laser Scanning Data Derived
Topographic Terrain Attributes And Support Vector Machine
Classification,
ISPRS16(B8: 145-149).
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
Barbarella, M.,
Fiani, M.,
Landslide Monitoring Using Terrestrial Laser Scanner: Georeferencing
And Canopy Filtering Issues In A Case Study,
ISPRS12(XXXIX-B5:157-162).
DOI Link
1209
BibRef
Hernández, M.A.,
Pérez-garcía, J.L.,
Fernández, T.,
Cardenal, F.J.,
Mata, E.,
López, A.,
Delgado, J.,
Mozas, A.,
Methodology For Landslide Monitoring In A Road Cut By Means Of
Terrestrial Laser-scanning Techniques,
ISPRS12(XXXIX-B8:21-26).
DOI Link
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
Travelletti, J.,
Delacourt, C.,
Malet, J.P.,
Oppikofer, T.,
Jaboyedoff, M.,
Monitoring Landslide Displacements during a Controlled Rain Experiment
Using a Long-Range Terrestrial Laser Scanning (TLS),
ISPRS08(B5: 485 ff).
PDF File.
0807
BibRef
Sui, L.C.[Li-Chun],
Wang, X.[Xue],
Zhao, D.[Dan],
Qu, J.[Jia],
Application of 3D Laser Scanner for Monitoring of Landslide Hazards,
ISPRS08(B1: 277 ff).
PDF File.
0807
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Landslide Analysis, SAR, InSAR, IFSAR, Radar .