Abstract
ABSTRACT This research was aimed at providing a study of digital elevation models from Airborne Laser Scanner (ALS) data. The goal was to improve the forest monitoring, or more specifically, arboreal canopy monitoring, which contains the most elevated vegetation of the forest. It is also described as the surface above the canopy top. The region of rain forest between the states of São Paulo and Paraná in Brazil was analyzed. The proposed method employs the ALS system that provides information related to different vegetative cover bedding, to analyze it and reach to estimate for the most elevated stage. The methodology is based on differentiating the identified surfaces in the original set of data. It uses these surfaces with a raster, which was obtained from an interpolation of different sets of points from the surfaces of interest. The raster structure, unlike vector data, allows for processes linked to the digital processing of images. It enables implementation of digital filters over the data. The method helped in reducing the influence of errors during classification and achieving the theoretical surface. The results revealed a coherent relationship with anthropogenic influence such as the introduction of exotic vegetation. We concluded that arboreal vegetation could be an index of conservation for environmental registration and licensing organizations.
Highlights
Arboreal canopy height has been described in the literature as an important parameter for characterizing the regeneration or degradation stage of a region
This study aims to characterize the arboreal canopy height of a residual forest located in the surrounding area of the Governador Parigot de Souza Hydroelectric Power Plant in Paraná, Brazil, using data derived from Airborne Laser Scanner (ALS) and treated with image processing techniques
Exotic species used in traditional Brazilian silviculture, such as Pinus elliot, Pinus taeda, Eucalyptus dunni, and Eucalyptus bethami, can at least have identified
Summary
Arboreal canopy height has been described in the literature as an important parameter for characterizing the regeneration or degradation stage of a region. As such, it is highly relevant in studies and environmental impact reports required before engaging in activities that could be environmentally destructive. In Brazil, studies such as Schaaf et al (2006) and Oliveira et al (2003) discuss the importance and special characteristics of tropical forest monitoring, for Mixed and Dense Ombrophile Forests. Dense Ombrophile Forests span the forest formations distributed on the intermediary portion of the slopes of Serra do Mar, at altitudes greater than 400 m. The Montane Dense Ombrophile Forest has an average height of 20 m
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