ABSTRACT
The implications of forest reduction in the carbon cycle have created a demand for development of non-destructive methods to biomass estimates, a key component for modeling biogeochemical. Results from the application of a new methodology using satellite images from IKONOS II to estimate biomass and organic carbon in Araucarian Forest are present. The methodology included statistical analysis (correlation analysis) of the bans and vegetation indices with the biomass and organic carbon data as well as adjustments and selections of equations to estimate the biomass and organic carbon (dependent variables) in function of data from the satellite images. The reflectance of the MS-1, MS-2, MS-3, MS-4 bands, the ratio among bans (MS-4/MS-3), NDVI and SAVI were used as independent variables. The use of satellites images from IKONOS II presented satisfactory results, although it still needs adjustment from mathematical models for better results.
Keywords:
remote sensing; high resolution images; Mixed Ombrophilous Forest; Sub-Tropical Forest