Remote sensing technology is one of the most efficient and innovative technologies for agricultural land use/cover mapping. In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. This approach make use of spectral, environmental, physical and geometrical characteristics (e.g. texture, shape) together images contexts for modeling of land use/cover classes. The main objective of this study is to classify micro land use/cover of Meyandoab County by applying appropriate and effective algorithms and parameters in the object based approach. For this goal, Quick Bird and Aster satellite images were used within the integrated approach for processing and land use modeling. Accordingly, the land use map was classified in 9 class based on spectral and spatial characteristics.  In order to perform OBIA, the segmentation was applied in the scale of 10, shape parameter of 0.7 as well as the compactness of 0.3. In terms of the classification task, fuzzy based algorithm and operators (AND, OR) was applied to detriment the membership functionality of segments for each class as well as classifying the related objects.  We also applied textures, geometric, NDVI, GLCM, brightness algorithms based on fuzzy operators and assign class algorithm. In order to applying the validation of results, the accuracy assessment step was performed and the finally overall accuracy of 93.6 was obtained for the derived map. The Kappa coefficient was also detriment to be 0.92. The area under cultivation included respectively for lands of wheat and barley, prunes and plums, apples, vineyards and alfalfa hay2622.42, 4505, 4354.55, 4457.85, 14110.58 hectares.
 

The concept of the city's landscape is connected with the objectivity and subjectivity of that city. Therefore, in order to manage this concept at night, in addition to functional-physical manifestations of the city, we should focus on the perceptual issues of citizens, which may have roots in their ancient identity, religion and customs. By accepting this hypothesis, a suitable model for night-time urban landscape management should be considered as a model that reveals both the physical and functional aesthetics of the city, as well as the perceptual and psychological components of the citizens from the night view. Nowadays, with the expansion of night life, the concepts of the quality of the location of urban landscapes at night has became as important as day. The aim of this study is to evaluate the relationship between lighting and the sense of dependency that is one of the key factors in location's quality and the role of new lighting technologies in promoting the Social-physical concept of sense of dependency and its impact on the transformation of the environment into a more humane urban environment. The research is a survey in which, for data gathering, a questionnaire with different images of the study area has been distributed among the selected statistical population. The findings indicate that the vitality and subjective image's of citizens are directly related, and the amount of lighting and its color and the way of lighting have a positive effect on urban nightlife.