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 文章

ArXiv CS.AI2026-05-29NEWSen作者: Daniel Albiero, Gelton Fernando de Morais, Daniela Han, Fl\'avio Roberto de Freitas Gon\c{c}alves, Artur Vit\'orio Andrade Santos, Wesllen Lins de Ara\'ujo, Alessandra Maia Freire, Cl\'audio Kiyoshi Umezu, Mateus Peressin, Francesco Toscano, Admilson \'Irio Ribeiro, Alfeu J. Sguarezi Filho, Am\'erico Ferraz Dias Neto, Angel Pontin Garcia

摘要

arXiv:2605.28883v1 Announce Type: new 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.