The aim of the present study is to Evaluate of Coniferous Forest Growth in Pirmam Semi Natural Forest Supported by GIS Techniques. For this purpose, five regression equations used for predicting the above-ground biomass (AGB) distribution in studied area. Trees of this forest do not shed their leaves in any season of the year. Major evergreen tree species of Pirmam forests are pinusbrutia Ten., Cupresses semperivernes vertical and Cupresses semperivernes Horizontal. Different regression equations were tested, using the diameter (d) and the height (h) as independent variables and the most suitable equation were determined. Using these models, above-ground biomass amounts can easily be acquired for single trees and stands. On using method 1, 2, 3 and 5 the AGB different from 15.45 to Mgha_1and by method 4 it different from 24.26 to 244.20 Mgha_1. The AGB estimation found in this study represents is difficult to be more realistic picture of tree biomass of a forest.