Estimation of forest canopy density using FCD

In order to map the forest canopy density Bivareh Ilam Landsat 8 satellite data of 22 July 2014 and FCD model was used. The FCD of four indicators of vegetation, soil, shade and the heat index by applying a suitable threshold was and the density of vegetation and forest canopy density map based on FCD in percent respectively. Forest density map obtained, according to the classes provided by the Supreme Council of Forest, Range and Soil of Forest and Rangeland and Watershed Management (7 classes) and a classification (5 classes), were defined. To determine the accuracy of the classified forest density map, a map of the ground reality of the images presented on the website of the Regional Centre spatial data infrastructure updates and spatial resolution are prepared. The highest overall accuracy and Kappa coefficient in the present study, the classification in five classes of 61/34% and 0/42, respectively, were calculated. The classification of 7 classes, the overall accuracy and kappa coefficient was estimated. Therefore we can conclude that in the Zagros forests, semi-massive to massive forest separation efficiency model is appropriate when the separation of the classes with lower density, is not accurate.