Uso de equipamentos analógicos, digitais e scanner laser na estimação de variáveis dendrométricas

• Ano de defesa: 2023
• Autor(a) principal: Machado, Millena Duarte
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Ciências Florestais; Centro de Ciências Agrárias e Engenharias; UFES; Programa de Pós-Graduação em Ciências Florestais
• Palavras-chave em Português: Inventário florestal; Mensuração; Estimativas; subject.br-rjbn; Recursos Florestais e Engenharia Florestal
• Link de acesso: http://repositorio.ufes.br/handle/10/17250

Forest inventories are crucial procedures in obtaining qualitative and quantitative information aboutthecomposition,structureandconditionof nativeor planted forests, andin themanagementanddecision-makingprocess in forestry companies.The most measured variables in a forest inventoryare the diameter at 1.30 m from the ground level (D) and the total height(H) of the trees, as they are easier to obtain and, in the case of plantedeucalyptus forests for wood production,are important for the study of growth, in the quantification of volume,biomass and carbon, in addition to servingas indicatorsof theproductivequalityof a place. The studywas divided in totwo chapters, the first of which aimed to evaluate the accuracy of a Portable Laser Scanner(PLS) combined with a SimultaneousMapping and Locating (SLAM) system to identify the position of Eucalyptusgrandis trees and estimate the diameter at 1.30 m from ground level (D) andthetotal height(H),andtheaccuracyof these estimates at differentpoint clouddensities.The secondchapter aims to evaluatethe accuracyof the Suuntoand Haga hypsometers andthe PLS-SLAM for estimatingthe total heightin relation to the referencevalue,obtainedbythetotal station.The studyof thetwo chapterswas carried out in a plot containing 71 individuals of Eucalyptus grandis located in Jerônimo Monteiro, Espírito Santo. In chapter one, all 71 individualsin theplot had their D and H measured with the aid of a compass to estimate the diameter and total station for height,and a PLS-SLAM sweep was also carried out in the area. Subsequently,the point cloud obtained with the PLS was processed in order to extract the D and H estimates from the analyzedtrees, in fivedifferentpointdensities, 36,000, 1,000, 500, 100 and 10 returns.m-2 , in addition, for the variable H, processing was carried out manuallyand automatically.In chapter two, the total heightestimates made with the Suunto hypsometer, Haga hypsometer and the PLS-SLAM through automatic and manual processingwere compared with the reference measurements estimated with thetotal station.In both chapters,theaccuracyof theseestimates was evaluatedusing theroot mean error (RMSE) andtherelativeandabsolutebias,thecorrelation between the data was evaluatedusingPearson'scorrelation coefficient(r) and, theGraybill's F statistics (1976) to test the similarity of the variables. As main results, in chapter one, it was observed that point clouds of up to 100 returns.m-2 produced results with satisfactory accuracy for D and H, andthat the degradation of the point cloudtended to reduce the accuracy of the estimates of the D and H. And in chapter two, it was foundthatthePLS-SLAMthrough manual processingwassignificantlymore accurate in estimating H than automatic processing and the Suunto and Haga hypsometers.