BEACH CLASSIFICATION OF THE VEGETAL COVERING FROM RAW DATA PROCEEDING FROM LASER SCANNING USING FISCHER’S LINEAR DISCRIMINATE FUNCTION

Abstract

The evolution of rural space and the agriculture activity enlargement required for agribusiness and silviculture has put strong pressure on natural resources causing, in most of cases, negative effects on interventions done by these activities. In this context, the physical reality knowledge and the intervention planning can be obtained from the Remote Sensing which products can aid authorities to guide the expansionist and conservationist activities. However, in order to check the Brazilian environmental legislation and plan metric data, information related to Geomorphology is necessary too. The laser scanning system presents some advantages to offer this information as well as to separate the vegetal covering through derivate products from its observations such as image of intensity. The general goal of this study was testing the classification of vegetal covering based on rough observations obtained by laser scanning, using Fischer’s Linear Discriminate Function. In order to classify it, additional parameters from laser observations such as density of points, altimetry variance, vegetal covering height and information related to intensity were added to. The steps of the work are presented as well as the results of the research carried out at Capivari dam located in Curitiba, State of Paraná.