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.

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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
Forest Road Trafficability Prediction | Tim Casanda Gibson