Acquiring accurate data about the area under the cultivation of crops and types and segmentation of agricultural lands are one of the most important and necessary information in the management and planning of agricultural lands. Development of remote sensing in recent years, leads to constructing reliable and strong framework for better evaluation of agricultural lands. In this case, an attempt was made in this study to investigate and produce spatial information about crop types and their spatial structure in Seqzi hydrological unit in the center of Isfahan Province and west of Isfahan city. Based on the recommended framework, in order to acquire the relevant information to agricultural area. Pixel based methods was used to determine the type of the main crops cultivated in the study are, object based methods was used to delineate the shape and pattern of agricultural lands and finally a set of landscape metrics was used to quantify the spatial pattern and structure of agricultural lands. A combined algorithm was employed in the first phase to map two kinds of the main crops of the study area including wheat and alfalfa using two images acquired in April 1 and June 8 2016 in an acceptable accuracy statistics (kappa coefficient of 84% and overall accuracy of 91%). After that, by using all spectral bands of satellite images, the object based method was used to extract the agricultural segments. To do so, two spatial index of shape and compactness with thresholds of 0.5 and 0.3 as well as mean value of spectral signatures was utilized. Finally, by assigning the weight of double than that for other spectral bands to near infra-red band, all segments related to agricultural lands were extracted. Spatial assessments conducted on the extracted data showed that 86 of the agricultural lands of the study area belongs to wheat (about 78%) and alfalfa (about 8%). Furthermore, analysis carried out on the agricultural segments revealed that over 28 thousands farms exist in the study area which two-third of that with mean patch size of 2/84 and 11 farms per hectare is related to the area under the cultivation of wheat and alfalfa occupied the rest one-third of lands with mean patch size of 0.9 and 2 farms per hectare. The small size and density of wheat lands in comparison to alfalfa lands in essentially related to the small scale livestock centers which are distributed over the study area. The results of this study showed that using a set of remote sensing methods and the integration of results could effectively lead to producing valuable information for better management and planning of agricultural lands in the study area. Keywords: Agricultural lands, pixel based remote sensing, object base analysis, Seqzi Hydrological Unit