Estimating aboveground biomass using sentinel-1a and landsat 8 OLI satellite image in pure calabrian pine (pinus brutia ten.) stands (a case study in Anamur forest planning unit)

In this study, it was aimed to model the aboveground biomass by using Landsat 8 OLI, Sentinel-1A and some topographic data in pure red pine stands distributed within the boundaries of Anamur Forest Planning Unit, Anamur Forest Management Enterprise, Mersin Regional Directorate of Forestry. A total of 404 sample field data were used in the study. Of these sample field data, 323 (80%) were used in the creation of the models and 81 (20%) in the testing of the models. Above-ground biomass values for each sample area were calculated using the allometric equation in this study. Band brightness, vegetation indices and texture values from Landsat 8 OLI satellite image, reflectance and back scattering values for both polarizations (VH and VV) of Sentinel-1A satellite image, and elevation, slope and aspect values from Digital Elevation Model (DEM) data produced from Alos-Palsar satellite image were calculated for each sample plot. The relationships between aboveground biomass and variables obtained from Landsat 8 OLI, Sentinel-1A and DEM data were modeled by multiple regression analysis. A total of 22 different regression models were developed. The best relationship among the developed models (R_a^2= 0,509 ; Sy.x= 28,39900); Band2, Band8 brightness, WRI, GCI, DVI, ARVI, NDMI vegetation indices, B4_77_ENT, B5_77_M, B6_33_M, B10_55_M, B10_77_SM, B10_99_SM, B11_55_ENT texture values of Landsat 8 OLI satellite image, reflectance values for both polarizations (VH and VV) of Sentinel-1A image with the elevation and aspect as independent variables were obtained