Detecting of Arasbaran forest changes applying image processing procedures and GIS techniques

摘要: Abstract Nowadays, based on remote sensing procedure, satellite multi- temporal and sensor images for change detection purposes are considered very important issues in optimal management of environmental ecological resources. In the current study, some different image processing techniques have been accordingly applied order to determine rate forest alterations Arasbaran protected area. The study area is located Northwest Iran has announced be a component biosphere resource because its unique fauna flora by UNISCO organization 1976. To achieve main purpose all existing series multi-satellite images, observed years 1987, 1998, 2001, 2005, steadily evaluated using ERDAS Imagine software model trend changes region. According initial results, about 6146.9 hectares deforested throughout past 18 years. Therefore, logistic regression was established among parameters (such as: distance settlements, aspect, slope, rainfall, elevation) find causes deforestation Different digital maps, which were created GIS setting, reveal that above mentioned physiographic factors could affect area, but from settlements must regarded as most effective one. At final stage, predict future deforestation, an endangered map produced, classifying forests into three major categories such extra critical, vulnerable areas. All valuable results found research documented preventing procedure threatened woodlands informatics strategy.