TY - JOUR A1 - Görgens, Eric Bastos A1 - Mund, Jan-Peter A1 - Cremer, Tobias A1 - de Conto, Tiago A1 - Krause, Stuart A1 - Valbuena, Ruben A1 - Estraviz Rodriguez, Luiz Carlos T1 - Automated operational logging plan considering multi-criteria optimization JF - Computers and Electronics in Agriculture N2 - Multiple goals should be considered while planning and executing forest management. This study proposes a new multidimensional framework for a precision forestry approach assisted by airborne laser scanning data (ALS). Therefore, successful management operations become a key element in the process of promoting protection through sustainable development. Thirteen relevant variables were derived from ALS data, such as: canopy height, terrain topography, relative vegetation density, forest gaps, slope restrictions, skidder restrictions, load truck restrictions, topographic wetness, flow accumulation, horizontal distance to drainage, vertical elevation from drainage, stream and headspring restrictions. Four different scenarios for the management plan optimization were studied: shortest distance, forest conservation, soil conservation and all combined. Results showed that the detailed forest information from ALS point clouds is useful to indicate regions not suitable for forest operations. Failure to properly consider the different factors involved may result in inadequate infrastructures, lower operational performance and constant re-planning requirements. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:eb1-opus-4423 SN - 0168-1699 IS - 170 PB - Elsevier ER -