Michel Jaboyedoff

Orcid: 0000-0002-6419-695X

Affiliations:
  • University of Lausanne, Switzerland


According to our database1, Michel Jaboyedoff authored at least 11 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Assessing the Hazard of Deep-Seated Rock Slope Instability through the Description of Potential Failure Scenarios, Cross-Validated Using Several Remote Sensing and Monitoring Techniques.
Remote. Sens., November, 2023

Slope-Scale Remote Mapping of Rock Mass Fracturing by Modeling Cooling Trends Derived from Infrared Thermography.
Remote. Sens., September, 2023

2022
A data-integration approach to correct sampling bias in species distribution models using multiple datasets of breeding birds in the Swiss Alps.
Ecol. Informatics, 2022

2021
QDC-2D: A Semi-Automatic Tool for 2D Analysis of Discontinuities for Rock Mass Characterization.
Remote. Sens., 2021

Comparison of Remote Sensing Techniques for Geostructural Analysis and Cliff Monitoring in Coastal Areas of High Tourist Attraction: The Case Study of Polignano a Mare (Southern Italy).
Remote. Sens., 2021

2019
Optimizing Wireless Sensor Network Installations by Visibility Analysis on 3D Point Clouds.
ISPRS Int. J. Geo Inf., 2019

2018
Pros and Cons of Structure for Motion Embarked on a Vehicle to Survey Slopes along Transportation Lines Using 3D Georeferenced and Coloured Point Clouds.
Remote. Sens., 2018

2016
"Use of 3D Point Clouds in Geohazards" Special Issue: Current Challenges and Future Trends.
Remote. Sens., 2016

2015
A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner.
Remote. Sens., 2015

Prototype of a Web-based Participative Decision Support Platform in Natural Hazards and Risk Management.
ISPRS Int. J. Geo Inf., 2015

2014
A new approach for semi-automatic rock mass joints recognition from 3D point clouds.
Comput. Geosci., 2014


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