In remote sensing studies, it is a common procedure to relate information acquired from orbital images to those obtained from laboratory or field works. To analyze how both of these two types of information are related, the statistical analysis is the most indicated technique, mainly considering scatterplots, regression models and correlation coefficients. Researches involving vegetation are the most frequently carried out and this type of approach is very usual to understand how spectral data are related to canopy parameter. For a given set of forest parameter, the multivariate statistical analysis is applied to show the potential of this tool for both providing a model and supporting an adequate data interpretation.Pages: 1641-164
