The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Use of LIDAR in landslide investigations: a review
Open accessAbstract
This paper presents a short history of the appraisal of laser scanner technologies in geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) or 3D models. A general overview of light detection and ranging (LIDAR) techniques applied to landslides is given, followed by a review of different applications of LIDAR for landslide, rockfall and debris-flow. These applications are classified as: (1) Detection and characterization of mass movements; (2) Hazard assessment and susceptibility mapping; (3) Modelling; (4) Monitoring. This review emphasizes how LIDAR-derived HRDEMs can be used to investigate any type of landslides. It is clear that such HRDEMs are not yet a common tool for landslides investigations, but this technique has opened new domains of applications that still have to be developed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Object modeling by registration of multiple range images
Chen, Y., & Medioni, G. (2002) · Proceedings. 1991 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1991.132043 · Cited by 1,409
Cited by
A review of statistically-based landslide susceptibility models
Reichenbach, P., Rossi, M., Malamud, B. D., Mihir, M., & Guzzetti, F. (2018) · Earth-Science Reviews · doi:10.1016/j.earscirev.2018.03.001 · Cited by 2,347
Landslide inventory maps: New tools for an old problem
Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., & Chang, K.-T. (2012) · Earth-Science Reviews · doi:10.1016/j.earscirev.2012.02.001 · Cited by 2,092
Geomorphometric assessment of spatial sediment connectivity in small Alpine catchments
Cavalli, M., Trevisani, S., Comiti, F., & Marchi, L. (2013) · Geomorphology · doi:10.1016/j.geomorph.2012.05.007 · Cited by 786
Urban land cover classification using airborne LiDAR data: A review
Yan, W. Y., Shaker, A., & El-Ashmawy, N. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.11.001 · Cited by 566
Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences
Eitel, J. U. H., Höfle, B., Vierling, L. A., Abellán, A., Asner, G. P., Deems, J. S., Glennie, C. L., Joerg, P. C., LeWinter, A. L., Magney, T. S., et al. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.08.018 · Cited by 319
Self-citation
Metadata
- Authors
- Jaboyedoff, M., Oppikofer, T., Abellán, A., Derron, M.-H., Loye, A., Metzger, R., & Pedrazzini, A.
- Venue
- Natural Hazards
- Published
- 2010-10-19
- Volume
- 61
- Issue
- 1
- Pages
- 5-28
- ISSN
- 0921-030X (ISSN-L)
- 1573-0840
- OpenAlex
- W2037402385
- Cited by
- 1,124
- References
- 1
- FWCI
- 88.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Use of LIDAR in landslide investigations: a review. https://app.cochat.ai/papers/10.1007/s11069-010-9634-2
- The paper
- Jaboyedoff, M., Oppikofer, T., Abellán, A., Derron, M.-H., Loye, A., Metzger, R., & Pedrazzini, A. (2012). Use of LIDAR in landslide investigations: a review. Natural Hazards. https://doi.org/10.1007/s11069-010-9634-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
