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The aim of this study was to estimate the aboveground biomass (AGB) using Landsat 8 Operational Land Imager (OLI) satellite image in Araç Forest Enterprise. The ground data obtained from ground measurements in 317 sample plots were used to accomplish this purpose. The AGB for each sample plot was calculated using this data. The original band brightness, vegetation indices and texture feature values of each sample plot were calculated from the coordinate values of each sample area that were transferred to the Landsat 8 OLI satellite image. The relationships between the AGB with the original band brightness, vegetation indices and texture features values generated from Landsat 8 OLI satellite image were determined by multiple regression analysis. The results revealed that the AGB model using Band2, Band4, Band6 and Band11 had an adjusted coefficient of determination (),of 0.445,37.1738 ton/ha −1 , the AGB model using FII, DVI, EVI and IPVI vegetation indices had an adjustedof 0.387,=39.4221 ton/ha −1 , the AGB model using Band1_5x5_COR, Band3_3x3_COR, Band3_9x9_COR, Band4_3x3_M, Band7_5x5_V, Band7_9x9_COR, Band8_7x7_COR, Band10_9x9_HOM, Band11_3x3_COR, Band11_5x5_M and Band11_7x7_COR had an adjustedof 0.552, = 33.7669 ton/ha −1 . In conclusion, the texture features values were better for the prediction of AGB by using the Landsat 8 OLI satellite image.

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Estimating aboveground biomass using Landsat 8 OLI satellite image in pure Crimean pine ( Pinus nigra  J.F. Arnold subsp.  pallasiana  (Lamb.) Holmboe) stands: a case from Turkey