Land use in Shahre Rey has experienced unprecedented growth in urban areas in recent decades. Land use changes affect social, economic, and environmental conditions. Gathering information about these changes is essential for better planning and management of urban areas in sustainable development. Consequently, the object of this paper is to better examine the Shahre Rey land use changes affected by urban development and to investigate urban landscape integrity using the 1988-2018 "Fragmentation" index. Moreover, it was intended to provide solutions for the determination of hot spots based on appropriate criteria. With the help of Landsat satellite images, four land uses – including urban landscapes, agricultural lands, green spaces, and barren lands – were extracted and the extent of land use changes was determined. In order to investigate the fragmentation of Shahre Rey landscape, the metrics of the number of patches, patch density, and the largest patch were used. Cross-Tab was also used in a part of the study. The results showed that the land use areas of ​​urban lands and urban green space had increased by 369.7 and 55.6 hectares, respectively, while agricultural lands and barren lands had decreased by 213.8 and 211.5 hectares, respectively. In urban land use, integration had increased. In the green space and agriculture land uses, fragmentation has increased due to the creation and construction of roads. Based on the criteria of  "position relative to borders and roads as well as the area and size of patches,'' solutions were made to determine the "hot spots" of vegetation and residential areas to help making plans for the improvement of their conditions. The reason is that land use change, especially the loss of vegetation, has a negative impact on the landscape.

The land-use changes and urban development are among the fundamental topics of spatial planning. Monitoring changes in previous years and predicting these changes in the coming years have a significant role in planning and organizing urban spaces. The purpose of this study was to investigate land-use change and urban development in Ahvaz with a landscaping approach based on balanced urban development. .Images of TM (1989), ETM+ (2002), and OLI (2019) of the Landsat satellite are the basis for analyzing this trend. LCM model was used to identify the past changes, while CA-Markov chain model was applied to predict the future changes. These images were classified using a support vector machine algorithm of the object-oriented method, and the land-use maps were prepared using three sensors with four classes of vegetation, barren areas, constructed areas, and water zones. The accuracy of maps was improved separately using NDVI and SAVI indexes in the classification of the images. The efficiency of the indexes was measure by kappa coefficients and the overall accuracy of land-use maps, and then changes were investigated using maps related to the superior index. The results showed that maps related to the SAVI index were more accurate and accordingly, they were used in assessing land-use changes. The LCM model showed that in the periods 1989-2002 and 2002-2019, 2602.92 hectares and 31174.77 hectares were added to the built areas, respectively. In both periods, the most changes were about converting barren lands to built-up areas and the least changes were related to the transformation of the built-up areas to water areas. The results of the CA-Markov model until 2029 showed the continuity of the increasing trend of built-up areas, such that in ten years, 2238.82 hectares will be added to the built-up areas, and it is anticipated that the area will reach approximately 12345.63 hectares by 2029.

Nowadays as for increasing growth of urban population and then expedite and ungovernable development of cities, many issues and problems have been stand on human societies The assessment of change rate of urban settlements in Sari city in the past half-century shows significant increment of urban lands space over the city. Increment of urban settlements in mentioned area takes place regardless capabilities and restrictions on lands and also ecological capability assessment process of urban development which causes wide range of valuable lands to be destroyed. Ecological capability assessment process of urban development estimates possible utilization of human from land for urban development usage. The present study which is descriptive and analysis and applicable research, is done to achieve designing and using a holistic and flexible model in order to ecological capability assessment of urban development by utilizing ANP. Analysis network process is relatively a modern method in the field of environmental researches that is based on mutual influence of environmental standards and of course wisdom collective judgment. The results of present research led to offering lands zoning map of the under studding area based on Ecological capability assessment of urban development to optimize activities in order to preventing environmental imbalance.

Before creating a free zone in the Qeshm Island, the indicators of development (social, economic, physical and environmental), the lowest value was found. Nowadays, these indicators increase in this island. This research study the role of Qeshm in Iran Census in urban development, and social security in Qeshm examined, Method of research is descriptive – analytical. The results suggest that the creation of social development indicators like education Qeshm, population and economic indicators such as the expansion of commercial markets, docks, customs, employment trends have been growing, despite the positive effects of creating, bottom of these crimes in the future urban structure of Qeshm is also ineffective acknowledges it is 50 percent of respondents to the insecurity situation in the city of Qeshm in the future will increase relative to the status Qeshm.

Aim of this study is to identify suitable Urban Development spots with application of Environmental Criteria in Mahmoodabad Township. A series of criteria were identified by investigating various sources about the location of urban development to achieve the aim of this study. Then criteria were selected by Delphi questionnaire or survey experts. So 12 criteria and 30 subcriteria were selected for urban development site selection in Mahmoodabad Township. These remained criteria which can convert to maps were weighted with AHP method. Then criteria were converted to maps by Arc GIS software. After that the maps combined with a weighted linear combination by Arc GIS software and appropriate spots for urban development were chosen. Area of the biggest spot is 0/7 square kilometers and area of the next spot is 0/4 square kilometers. According to 26th article of executive regulations for new towns building, minimum area of a new city is 3 square kilometers. So, none of the spots are suitable for urban development. Results and the criteria which obtained in this research can be used as a guide in areas that have similar features (north coastal area of country) to Mahmoodabad Township.