: Pasture utilization management with domestic animal grazing should be based on understanding of the special and temporal hay producing. To estimate the pasture production in arid and semiarid regions needs reliable and repeatable techniques, the techniques which are useful tools for managers. Traditional methods of produced hay estimation have spatial and temporal limitations and can not be applied on vast areas. Vegetation cover changes during a year and needs repeated monitoring for management. Under these circumstances, during a year, only one time evaluation and measuring of the hay through traditional method is not enough to reach a long term management program. Application of remotely sensed data is a suitable method to evaluate the plant production and sequential changes detection. The aims of the present research was: the study of the MODIS data capabilities to estimate the vegetation cover production on Semirom and Brojen regions as well as selecting proper vegetation indices and studying the plant production changes through the multi temporal data. Various preprocessing, including image rectification was applied with geo-referencing of the image to a registered image with a RMSe 0.5 pixel. The atmospheric and topographic corrections were applied using subtraction of dark objects method and the Lambert method accordingly. Image processing including FCC, PCA, vegetation indices and supervised ltr"
