inventário no inventário de florestas tropicais - Caso Lao PDR

In this study, the potential of remote sensing in tropical forests is examined in relation to the diversification of sensors. We report here on the comparison of alternative methods that use multisource data from Airborne Laser Scanning (ALS), Airborne Color Infrared Photograph (CIR), Quickbird and ALOS AVNIR-2 to estimate stem volume and basal area, in Laos. The predictors of ALS metrics were calculated by means of the canopy height distribution approach, while predictors from both spectral and textual features. The correlation of remote sensing materials and field data were used to demonstrate needs for field inventory in different forest landscapes and varying tropical forest conditions. Variogram based analysis was used to derive optimal forest inventory procedure for different parts of case country.