The consideration of Tehran metropolis and its soundings areas has been the first one of recent challenges in Iran’s spatial planning which made it possible to develop the concepts such metropolitan region and conurbation. However, it is obvious that there appears to be a much more proper structure due to neo-regionalism and globalization in order to understanding of dynamic nature of Tehran and its surrounding. Nowadays, spatial phenomena have probably influenced by the physical and political boundaries which did not make the functional nature of interactions of these regions. City- region is among concepts that have not received due attention in recent years and was only discussed and presented in academic circles. This is perhaps a result of too much focus on the issues within cities. This paper has tried to present an optimum city-region spatial model that matches the spatial structure of our country as much as possible. After determining the required indexes by using of 85 city points in 250 kilometers distances from Tehran, the spatial boundaries of Tehran city-region is determined through flow analysis and estimations of distance from center and finally, by the using of analytical and adaptive methods the spatial model for Tehran city- region, with two cores and 41 peripheral cities will be presented. It is the functional foot print of Tehran metropolis based on daily and weekly commuting by a spatial logic.

Creating and preserving large patches in land use configuration and satisfying compactness and contiguity in land use configuration are nature-prescribed and nature-inspired criteria that can be used in land use planning better that before. Accompanying compactness and contiguity as the important landscape metrics in land use planning and land use configuration is close to applying proactive approaches rather than assessing the intense of Human activities' impacts on environment after its altering. To explain how to introduce compactness and contiguity to a land use configuration study, we assume the study area as a matrix that every cell or pixel of the matrix has the color or value that shows the type of land use. In this situation, the compact configuration will be made if the same color or value pixels are located adjacent to each other. With respect to this premise we defined some equations to achieve compactness and contiguity in land use configuration. Finally, we tested the equations in applied case of land use planning in a part of Gorgan Township. We applied hybrid of linear programming and ant colony algorithms for testing suggested method. The results show that the method can be succeeded in achieving these criteria.

In the present research land use changes modeling in the Urmia city is considered in order to detect changes in agricultural lands. In this regard, Landsat satellite images were used and then the object base processing satellite images was performed by applying the process segmentation and in the next stage, the optimization of scale segmentation and image analysis to its constituent elements, the object basic algorithms according to the physical condition, geometric of each land-use classes were used. During images processing in addition to spectral data, the data in the form of homogeneous, shape and texture (GLCM) were used for land use extraction. The results show that the Urmia city had so many physical expand in the past 31 years so that its area has increased from 7.43% of the total study area in 1363 to 30.75 in 1394. This increase was rectify by the reduction of agricultural lands so that  large amount of agricultural lands have been used for construction purposes which has caused land degradation, particularly fertile lands in this area, particularly within the Shahr chay river, Mahabad road, Sero road, Darya road and the  road of Salmas.

In the recent decades, the effect of dry climate of Iran is due to expanding desertification in this country. The countryside of Kerman has selected for this survey. For investigating of amount of deserts generation around this city after geometric and radiometric studying، the image of Landsat ETM + 2009 and aerial photos at a scale of 1: 5000, preparing of basic maps of earth and vegetation covers maps. To estimate of the severity level of desertification in Kerman, The indicator of Urban and industrial development based on IMDPA , that including density of roads and mines, amount of green space and changing to pasture and forest land. After that giving score to this parameters did upon its affect for destroying and desertification.Finally, in GIS software, with using analytic functions required based on IMDPA. Land area were classified in terms of desertification. The results show that the effects of desertification land in Kerman city can be classified to three section، critical , medium and low.