Articles | Volume 17, issue 12
https://doi.org/10.5194/nhess-17-2143-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-2143-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication: Landslide motion from cross correlation of UAV-derived morphological attributes
Maria V. Peppa
CORRESPONDING AUTHOR
School of Engineering, Newcastle University, Newcastle upon Tyne, UK
Jon P. Mills
School of Engineering, Newcastle University, Newcastle upon Tyne, UK
Phil Moore
School of Engineering, Newcastle University, Newcastle upon Tyne, UK
Pauline E. Miller
The James Hutton Institute, Aberdeen, UK
Jonathan E. Chambers
British Geological Survey, Keyworth Nottingham, UK
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- Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide D. Hermle et al. 10.3390/rs14030455
- Multitemporal UAV surveys for landslide mapping and characterization G. Rossi et al. 10.1007/s10346-018-0978-0
- The expanding role of anthropogeomorphology in critical zone studies in the Anthropocene R. Aguilar et al. 10.1016/j.geomorph.2020.107165
- Measurement of Road Surface Deformation Using Images Captured from UAVs J. Cardenal et al. 10.3390/rs11121507
- Timely and Low-Cost Remote Sensing Practices for the Assessment of Landslide Activity in the Service of Hazard Management A. Kyriou et al. 10.3390/rs14194745
- Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya M. Van Wyk de Vries et al. 10.5194/nhess-22-3309-2022
- A High-Precision Modeling and Error Analysis Method for Mountainous and Canyon Areas Based on TLS and UAV Photogrammetry X. Luo et al. 10.1109/JSTARS.2024.3382092
- Object-Based Analysis Using Unmanned Aerial Vehicles (UAVs) for Site-Specific Landslide Assessment E. Karantanellis et al. 10.3390/rs12111711
- Analysis of the Suitability of High-Resolution DEM Obtained Using ALS and UAS (SfM) for the Identification of Changes and Monitoring the Development of Selected Geohazards in the Alpine Environment—A Case Study in High Tatras, Slovakia Ľ. Kovanič et al. 10.3390/rs12233901
- UAV Photogrammetry for Soil Surface Deformation Detection in a Timber Harvesting Area, South Korea J. Kim et al. 10.3390/f14050980
- Determination of the coefficient of proportionality between horizontal displacement and tilt change using UAV photogrammetry E. Puniach et al. 10.1016/j.enggeo.2022.106939
- Monitoring solifluction movement in space and time: A semi-automated high-resolution approach M. Harkema et al. 10.1016/j.geomorph.2023.108727
- Precision Evaluation and Fusion of Topographic Data Based on UAVs and TLS Surveys of a Loess Landslide Z. Mao et al. 10.3389/feart.2021.801293
- Monitoring 3D areal displacements by a new methodology and software using UAV photogrammetry K. Hastaoğlu et al. 10.1016/j.jag.2019.101916
- Dense and long-term monitoring of earth surface processes with passive RFID — a review M. Le Breton et al. 10.1016/j.earscirev.2022.104225
- The use of unmanned aerial vehicles (UAVs) for engineering geology applications D. Giordan et al. 10.1007/s10064-020-01766-2
- Calculation of 3D displacement and time to failure of an earth dam using DIC analysis of hillshade images derived from high temporal resolution point cloud data N. Berg et al. 10.1007/s10346-019-01284-7
- Shallow erosion on grassland slopes in the European Alps – Geomorphological classification, spatio-temporal analysis, and understanding snow and vegetation impacts C. Geitner et al. 10.1016/j.geomorph.2020.107446
- Slope deformation detection using subpixel offset tracking and an unsupervised learning technique based on unmanned aerial vehicle photogrammetry data H. Xiao et al. 10.1002/gj.4677
- Identification of Streamside Landslides with the Use of Unmanned Aerial Vehicles (UAVs) in Greece, Romania, and Turkey M. Yavuz et al. 10.3390/rs15041006
- Unmanned aerial vehicle‐based mapping of turf‐banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties J. Eichel et al. 10.1002/ppp.2036
- Evaluation of the Georeferencing Accuracy of a Photogrammetric Model Using a Quadrocopter with Onboard GNSS RTK M. Štroner et al. 10.3390/s20082318
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Reconstruction and Characterisation of Past and the Most Recent Slope Failure Events at the 2021 Rock-Ice Avalanche Site in Chamoli, Indian Himalaya A. Bhardwaj & L. Sam 10.3390/rs14040949
- Impacts of Heterogeneous Chemistry on Vertical Profiles of Martian Ozone M. Brown et al. 10.1029/2022JE007346
- Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities V. Bickel et al. 10.3390/rs10060865
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- Design and operation of App-based intelligent landslide monitoring system: the case of Three Gorges Reservoir Region Z. Tao et al. 10.1080/19475705.2019.1568312
- Airborne combined photogrammetry—infrared thermography applied to landslide remote monitoring V. Vivaldi et al. 10.1007/s10346-022-01970-z
- Contribution of UAS to the monitoring at the Lärchberg-Galgenwald landslide (Austria) G. Seier et al. 10.1080/01431161.2018.1454627
- Review of Photogrammetric and Lidar Applications of UAV Ľ. Kovanič et al. 10.3390/app13116732
- Characterization and Analysis of Landslide Evolution in Intramountain Areas in Loja (Ecuador) Using RPAS Photogrammetric Products B. Zárate et al. 10.3390/rs15153860
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Latest update: 19 Nov 2024
Short summary
Unmanned aerial vehicles can provide digital elevation models and orthomosaics of high spatio-temporal resolution to enable landslide monitoring. The study examines the additional value that morphological attribute of openness can provide to surface deformation combining with image-cross-correlation functions alongside DEM differencing. The paper demonstrates the automated quantification of a landslide's motion over time with implications for the wider interpretation of landslide kinematics.
Unmanned aerial vehicles can provide digital elevation models and orthomosaics of high...
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