EN FR
GeoConferences.ca

Auteur(e): Matt Lato

Rockfall and Talus Accumulation from Serial Lidar Scans: A Railway Case Study from the White Canyon, Thompson River BC
Dave Gauthier, Matt Lato, Tom Edwards, D. Jean Hutchinson (GeoManitoba 2012)

An annual cycle of loose rock flux on a large slope affecting a railway corridor, from serial LiDAR data in the White Canyon of the Thompson River, BC
Dave Gauthier, Matt Lato, Tom Edwards, D. Jean Hutchinson (GeoMontréal 2013)

Rockfall source location and volume from autonomous UAV-acquired photos: A case study from a railway slope in northern Ontario
Dave Gauthier, D. Jean Hutchinson, Matt Lato, David F. Wood, A.J. Morris (GeoRegina 2014)

DETECTION OF ROCK SLOPE FAILURE PRECURSORS USING A TERRESTRIAL LASER SCANNER
Ryan Kromer, Jean Hutchinson, Matt Lato, Dave Gauthier, Tom Edwards (GeoQuébec 2015)

FREQUENCY-MAGNITUDE OF ROCKFALL EVENTS FOR HAZARD ANALYSIS; A COMPARISON OF DATA FROM LIDAR SCANNING WITH TRADITIONAL METHODS OF REPORTING
Megan van Veen, D. Jean Hutchinson, Ryan Kromer, Dave Gauthier, Matt Lato, Tom Edwards (GeoQuébec 2015)

3D DATA COLLECTION FOR RAPID ROCK FALL RESPONSE SITUATIONS
Matt Lato, Dave Gauthier, Pete Quinn, Jean Hutchinson, Ryan Kromer, Tom Edwards, Jose Riopel (GeoQuébec 2015)

HAZARD IDENTIFICATION AND EVALUATION USING UAV PHOTOGRAMMETRY FOR PIPELINE ROUTING
Matt Lato, Alex Baumguard, Jon Foster, Dennis Kim, Dave Gauthier (GeoQuébec 2015)

The use of airborne LiDAR in understanding ground hazards for large pipeline networks
Megan van Veen, Matt Lato, Joel van Hove, Greg Hunchuk, Joel Babcock, Jan Bracic (GeoOttawa 2017)

Assessing landslide deformation using trees in terrestrial lidar data
Megan van Veen, Michael Porter, Matt Lato, Andrew Mitchell, Siobhan Whadcoat, Wim Van Gassen (GeoSt. John's 2019)

Railway geohazard risk management: some practical experiences with geohazard warning thresholds
Pete Quinn, Dave Gauthier, Matt Lato, Dominique Sirois (GeoSt. John's 2019)

Auteurs apparentés ou similaires (par ordre alphabétique du nom de famille):