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Luke Weidner
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Classification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis
L Weidner, G Walton, R Kromer
Engineering geology 263, 105326, 2019
722019
Regional-scale back-analysis using TRIGRS: an approach to advance landslide hazard modeling and prediction in sparse data regions
L Weidner, T Oommen, R Escobar-Wolf, KS Sajinkumar, RA Samuel
Landslides 15, 2343-2356, 2018
462018
Investigating large landslides along a river valley using combined physical, statistical, and hydrologic modeling
L Weidner, K DePrekel, T Oommen, S Vitton
Engineering Geology 259, 105169, 2019
342019
Public participatory historical GIS
D Lafreniere, L Weidner, D Trepal, SF Scarlett, J Arnold, R Pastel, ...
Historical Methods: A Journal of Quantitative and Interdisciplinary History …, 2019
272019
Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features
L Weidner, G Walton, A Krajnovich
ISPRS Journal of Photogrammetry and Remote Sensing 176, 15-29, 2021
162021
Monitoring the effects of slope hazard mitigation and weather on rockfall along a Colorado highway using terrestrial laser scanning
L Weidner, G Walton
Remote Sensing 13 (22), 4584, 2021
142021
Generalization considerations and solutions for point cloud hillslope classifiers
L Weidner, G Walton, R Kromer
Geomorphology 354, 107039, 2020
142020
An algorithm for measuring landslide deformation in terrestrial lidar point clouds using trees
L Weidner, M van Veen, M Lato, G Walton
Landslides 18, 3547-3558, 2021
82021
The influence of training data variability on a supervised machine learning classifier for Structure from Motion (SfM) point clouds of rock slopes
L Weidner, G Walton
Engineering Geology 294, 106344, 2021
62021
Monitoring and modeling of the DeBeque Canyon landslide complex in three dimensions
L Weidner, G Walton
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1077, 2020
52020
Accuracy of Rockfall Volume Reconstruction from Point Cloud Data—Evaluating the Influences of Data Quality and Filtering
G Walton, L Weidner
Remote Sensing 15 (1), 165, 2022
22022
Automated rock slope material classification using machine learning
L Weidner, G Walton, R Kromer
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1076, 2020
22020
Predicting the Future by Mapping the Past: Revolutionary Innovations in Lidar Change Detection Analysis are Enabling Regional Scale Mapping and Identification of Threats From …
M Lato, M van Veen, A Ferrier, L Weidner, A Graham
International Pipeline Conference 86588, V003T04A012, 2022
12022
Evaluation of rock joint roughness digitization and shear strength prediction methods
AA Silaev, G Walton, L Weidner, EJ Lindenbach, RG Bearce
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2021-1335, 2021
12021
Generalized Machine-Learning-Based Point Cloud Classification for Natural and Cut Slopes
LM Weidner
Colorado School of Mines, 2021
12021
Rapid 3D lidar change detection for geohazard identification using GPU-based alignment and M3C2 algorithms
L Weidner, A Ferrier, M van Veen, MJ Lato
Canadian Geotechnical Journal, 2023
2023
The Validation of a Look-Ahead Geophysical System at the Rondout West-Branch Bypass Tunnel
J Hinton, L Weidner, G Walton, D Neutzling
Geotechnical and Geological Engineering 41 (2), 803-818, 2023
2023
A Novel Approach to Register Multi-Platform Point Clouds for Rockfall Monitoring
D Bolkas, G Walton, R Kromer, T Sichler, L Weidner
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021
2021
Can neural networks predict the crack initiation threshold from stress-strain data?
L Weidner, G Walton
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2020-1078, 2020
2020
Automated point cloud classification and analysis of rock slope processes using machine learning.
L Weidner, G Walton, R Kromer
Geophysical Research Abstracts 21, 2019
2019
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Articles 1–20