Research Overview
📄
Forest Road Trafficability Prediction - Phase 2: Journal Publication
Thesis + journal paper
Authors: Tim Casanda Gibson
Date: March 2026 - Present
Institution: University of Eastern Finland
Role: Research Assistant - MSc Student
Abstract
Abstract
Phase 1 (Completed): Completed MSc thesis investigating forest-road-bearing-capacity prediction in Finland using LiDAR-derived tree growth, geospatial indicators, and field-based measurements across 236 sites on 56 roads. Phase 2 (Ongoing): Publishing peer-reviewed journal paper on the trafficability prediction study, expanding the research findings and methodology for broader academic impact.
Research Document
Research Insights Document
This PDF explains the research gap and context. The final thesis file and additional materials will be added in April.
Research Information
Details
Authors
Tim Casanda Gibson
Timeline
March 2026 - Present
Expected Completion
Phase 2 Ongoing
Technologies & Tools
RQGISArcGIS
Keywords
forest road trafficability
machine learning
LiDAR
remote sensing
GIS
geospatial analysis
DTW
TWI
forestry operations
FWD
bearing capacity
mixed-effects models