Özet:

The aim of this study is to estimate aboveground biomass in pure Calabrian pine (Pinus brutia Ten.) stands using active (Sentinel-1A) and passive (Landsat 8 OLI) satellite images and some topographic data. Sample plot data of a total of 404 sample areas were used in the study. Of these sample plot data, 323 (80%) were used to create models and 81 (20%) to test models. Aboveground biomass values for each sample plot were calculated using the allometric equation. In addition, band reflectance, vegetation indices and texture values from Landsat 8 OLI satellite image for each sample plot, brightness and backscattering values for both polarizations (VV and VH) of Sentinel-1A satellite image, and the elevation, slope and aspect values were calculated from the Digital Elevation Model (DEM) data produced from the Alos-Palsar satellite image. Relationships between aboveground biomass and variables obtained from Landsat 8 OLI, Sentinel-1A and SAM data were modelled regression analysis. A total of 22 different regression models were developed. The best success among the developed models was obtained with the model (R2= 0.509; Sy.x= 28.39) in which the band reflectance values, vegetation indices and texture values of the Landsat 8 OLI satellite image, the brightness values of the two polarizations of the Sentinel-1A satellite image, elevation and aspect are included as independent variables.

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