The term of “Sustainable Development “has been recently established which consists of five subsets: resources, environment, population, economy and society. In order to reach to a sustainable development, it is necessary to know and exploit resources and environment in its optimum way. The high extension of rangelands to almost 90 Mha ( approx. 54 % ) of the country’ and also the importance of rangelands for other issues such as soil and water conservation, desertification prevention, foliage production and watershed basins hydrologic regiments control, makes this topic an important one to be studied and investigated in different perspectives. In spite of these positive points, this issue is not considered as much as it should be in the natural resources studies. The rangeland suitability evaluation has an outstanding role in its management. The present study has been performed in the Ab-Mahi watershed with the area of 15,800 ha located at north west of Fars province, called Marvdasht city. The main objectives of this study were to: evaluate of selected watershed qualitative land suitability for grazing (by goat and sheep) based on Kekem framework and also modified FAO method and to use of spectral reflectance of satellite images for modeling and estimation the percentage of vegetative cover and to identify limiting factors for grazing in the understudy watershed. At first step, after data collection and preparing the needed facilities, primary field studies were done and the land unit components were established as the homogeneous executive units. Then, field studies such as excavating of soil profiles in each working unit in order to update the soil map of the region, soil sampling for laboratory studies, were collected from each soil horizon after soil description using USDA manual. Moreover , the necessary land form data to ru both the Kekem and modified FAO models. Furthermore, in the 70 plots the percentage of canopy were estimated in the field studies. In this regard the coordinates of each point was determined using GPS,(Garmin model). These information were used in order to construct the vegetation cover incorporated with ETM+ imagery data. To obtain a reliable vegetation map six main bands of ETM+ and 26 artificial imagery were applied to training data set in ILWIS software. Finally the overall accuracy of prediction was calculated by coefficient of determination (r 2 ) and root means of square error (RMSE). The constructed vegetation canopy map was used in land qualitative evaluation of rangeland for the study area. There were some Keywords: Land suitability evaluation, rangeland, grazing, Kekem, FAO.