Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems

2026-05-26

AI Summary

This study addresses the severe deforestation of tropical forests driven by economic and political pressures, which is exacerbated by conventional logging practices that degrade ecosystems and intensify climate change. The work proposes a novel sustainable harvesting paradigm that integrates helicopter-based logging, aerial robotics, and artificial intelligence—demonstrating, for the first time, deep operational synergy among these three components. Coupled with post-harvest drone-assisted forest tending, this approach establishes a low-impact, high-precision forest management system. Digital simulations and economic analyses confirm that the method significantly reduces collateral ecological damage and preserves ecosystem services while remaining economically viable. Successful implementation hinges on collaborative engagement among diverse stakeholders, offering an innovative pathway toward sustainable tropical forest management.

Abstract

Tropical forests worldwide are under intense deforestation pressure driven by economic and political interests, and scientific evidence suggests this deforestation contributes to climate change. This paper proposes a novel logging method for tropical forests, Ultra-Reduced-Impact-Encased-Logging (URIEL). This new method is based on heli-logging techniques combined with intensive use of robotics and AI integrated with post-harvest silvicultural treatments performed by drones. The concept of appropriate equipment for this method was developed, dimensions were determined, details were completed in a digital proof of concept, and an effective digital simulation and economic feasibility analysis were carried out for various helicopter-timber-distance combinations. The results demonstrated that a URIEL method has high economic viability and makes it possible to virtually eliminate collateral damage to forests while maintaining ecosystem services. The main conclusion of this paper is that, despite the satisfactory scientific and technological results, the feasibility of a Uriel method depends on the integration of stakeholders intrinsic to the context: high-tech industry; political governments; certified logging companies; and native populations.

Problem

• tropical forest
• deforestation
• sustainable logging
• ecosystem services
• selective logging

Innovation

• Ultra-Reduced-Impact-Encased-Logging
• airborne robotics
• AI-integrated forestry
• sustainable logging
• post-harvest silviculture