Different forest fires causing different degrees of effects occur in fire-sensitive forests due to various reasons such as climate change. Useful as well as harmful aspects of forest fires are a multi-disciplinary research topic. Geo-graphical information systems (GIS) and remote sensing (RS) methods offer a number of benefits for researchers and operators in the field of forest fire research. The pre-sent study analyses timber pricing based on forest contractor demands of post-salvage logging processes. The effect of timber obtained from compartment units on producers\' pric-ing policy was modelled. Sapadere forest fire area (2500 ha) located in Antalya in Turkey was selected as the main study area. Topography parameters (aspect, slope and slope posi-tion), stand types (diameter class and crown closure), and burn severity were analyzed together using GIS and R soft-ware packages. A multi-linear regression model (R 2 = 0.752) demonstrated that factors that had the most impact on pric-ing were slope position, aspect, stand age, crown closure and burn severity. This model can be used to estimate salvage logging prices in Calabrian pine ( Pinus brutia Ten.) stands with similar parameters. Forest administrators and contrac-tors may readily address the unit price of timber by estimat-ing approximate costs in a given forest area for which they are going to bid. This will help reduce operational planning times of harvesting procedures in burned stands.