Modeling Deforestation Using Logistic Regression, GIS and RS Case study: Northern Forests of the Ilam Province

Land use and land cover are not static and are frequently subject to change due to human activities, also, with attention to the trend of deforestation in recent years, is very important to estimate the degradation in the different time periods. Access to information related to the past and realizing the changes are necessary for solving deforestation problem. Identify and detect these changes can help planners and managers to identify effective factors in land use and land cover changes and have to be useful and effective programming for their control. Iran west forests is important in terms of area, environmental issues, soil and water resources conservation which during the past decades due to social and economic factors, lack of comprehensive management and etc lost its production capacity and this trend threatens the future of the region forests. As a result, planning and management of these forests are associated with many problems which lack the necessary studies in this area will contribute to the above issue. To explore and evaluate these changes, using remote sensing and GIS techniques and tools can have a considerable effect to generate spatial information and having analytical capabilities. In the present study, using the information resulting from comparing satellite images of two different periods, identify changes trend in the studied forests and then with applying GIS analyzes to identify effective factors in these changes can measure and the results presented in thematic maps and finally suggested degradation probability model for the study area.