Applicability and limitations of terrestrial and UAV-based remote sensing techniques for slope rock mass characterization

ABSTRACT: This study evaluates the applicability and limitations of terrestrial and UAV-based remote sensing techniques in rock mass assessments. Terrestrial laser scanning (TLS) and two portable laser scanners (HandyScan and GeoSLAM) were employed as ground-based methods, offering high-resolution data and detailed local 3D models. UAV-based LiDAR and photogrammetry techniques were integrated to capture slope-scale topographic variations and rock mass structure. These methods were evaluated for their ability to capture key rock mass parameters such as RQD, joint spacing, aperture, roughness, and joint orientation. Each method's accuracy, point density, data acquisition time, and suitability for varied geological conditions were analyzed. TLS and HandyScan provided high-resolution data, making them suitable for detailed surface assessments, while GeoSLAM enabled efficient scanning of complex terrains with mobile capabilities. UAV-based LiDAR and photogrammetry allowed rapid and broad data collection, particularly in inaccessible areas, but faced limitations in capturing fine-scale features in vegetated areas. The findings highlight the strengths and limitations of each technique and provide recommendations for their application for rock mass characterization and slope stability analysis in slope cut assessments.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.56952/arma-2025-0610
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applicability and limitations of terrestrial and UAV-based remote sensing techniques for slope rock mass characterization

Jaspreet Singh, Sina Fatolahzadeh, Sergio A. Sepúlveda
1 citations
Landslides and related hazards
2.42
article

Applicability and limitations of terrestrial and UAV-based remote sensing techniques for slope rock mass characterization

Jaspreet Singh, Sina Fatolahzadeh, Sergio A. Sepúlveda
article en
1 citations

Abstract

ABSTRACT: This study evaluates the applicability and limitations of terrestrial and UAV-based remote sensing techniques in rock mass assessments. Terrestrial laser scanning (TLS) and two portable laser scanners (HandyScan and GeoSLAM) were employed as ground-based methods, offering high-resolution data and detailed local 3D models. UAV-based LiDAR and photogrammetry techniques were integrated to capture slope-scale topographic variations and rock mass structure. These methods were evaluated for their ability to capture key rock mass parameters such as RQD, joint spacing, aperture, roughness, and joint orientation. Each method's accuracy, point density, data acquisition time, and suitability for varied geological conditions were analyzed. TLS and HandyScan provided high-resolution data, making them suitable for detailed surface assessments, while GeoSLAM enabled efficient scanning of complex terrains with mobile capabilities. UAV-based LiDAR and photogrammetry allowed rapid and broad data collection, particularly in inaccessible areas, but faced limitations in capturing fine-scale features in vegetated areas. The findings highlight the strengths and limitations of each technique and provide recommendations for their application for rock mass characterization and slope stability analysis in slope cut assessments.

Simon Fraser University (CA)
Openalex Percentile: Top 10%
Landslides and related hazards
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.