Research Overview
📜
Forest Road Trafficability Prediction
Thesis
Authors: Tim Casanda Gibson
Date: October 2025 - March 2026
Institution: University of Eastern Finland
Role: Research Assistant - MSc Student
Thesis Note
Thesis Note
This thesis investigates forest-road-bearing-capacity prediction in Finland using LiDAR-derived tree growth, geospatial indicators, and field-based measurements across 236 sites on 56 roads. A full thesis document and supplementary materials will be added after university approval.
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
October 2025 - March 2026
Expected Completion
Completed March 2026
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