مجله کاربرد سیستم اطلاعات جغرافیایی و سنجش از دور در برنامه ریزی
سال هشتم شماره 1 (پیاپی 27، بهار 1396)

The green space is considered as one of the criteria of urban sustainable development and urban breathing. Also existence of green space in cities causes quality promotion of life. As a result As a result distribution how of green space in urban areas is important too of urbanity dimension and in term of social justice. The purpose of this research is to evaluate the purpose of this research is to evaluation have amount Tabriz city zones from green space. Type of research is applied and research method descriptive- analytical. The research results shows The research results shows that green space distribution in Tabriz city is unbalanced, and the highest per capita of green space regarding ten zone with 3.53 square meters and least regarding three zone with 1.02 square meters. According on that per capita of green space for every person in Iran is 7-12 square meters. While per capita of green space for every person in Tabriz is 3.33 square meters. Therefore there is a large gap between per capita.

Recently, due to the predominance in terms of the time and the cost, the drones are dramatically developing and their applications getting more widespread in various fields such as earth science, natural resources, environmental studies and urban planning. However, applying such drones suffers from several disadvantages, inter alia, the imaging unstable geometry, not using metric cameras as well as images’ variable parameters. In this study, computer vision science techniques for processing prepared images of the drone were precisely investigated and the performance of these images and techniques for producing a surface Elevation model with a high spatial resolution was investigated. Due to mentioned problems for the imaging and the absence of internal and external justifying parameters, the SIFT operator was used in order to extract nodal points in the shared areas of images. The relative and absolute justification of images are performed by using nodal points and land control points, respectively. The cloud of dense points was created through a dense three-dimensional matching algorithm and by using triangulated irregular interpolation methods area digital surfaces are formed. Finally, by using land checkpoints, the accuracy of the georeferencing and the final surface digital model were assessed. 5853 nodal points were automatically extracted by the SIFT operator and images were georeferenced with a surface accuracy of 21/12 cm. Then, by creating millions of points and triangulated irregular network, the height digital model with a height accuracy of 19/25 cm was created. Results of the current study indicate that due to the imaging unstable geometry and variable parameters for images, the combination of the SIFT algorithm with computer vision techniques in processing the UAV images in order to extract nodal points and to precisely justify images, are necessary.

Today, urban green space is considered the most important elements of the body cities, with population growth and urban development has been invaded by other land uses, Levels in cities of other users constantly is decreasing. As one of the most urban and urban parks play an important role in reducing air pollution and improving quality of life, The number and distribution of urban parks in such a way that all citizens have appropriate access to it, the main topic of discussion among urban planners is. In this study has attempted, the access area according to existing standards have been investigated
After determining the lack of green space in this respect and taking into account other factors affecting the positioning of the city, with appropriate pattern for optimal distribution of green space in the area 2 is using GIS. To achieve this goal, first location data is collected, Then established GIS database and maps for each criterion, the data layer in GIS became In order to model each of the layers according to their importance in the area of green space was allocated an appropriate weight For this purpose, Located on land for appropriate measures such as wasteland, Proximity to educational centers, cultural centers and population centers, access to network urban gas stations were. Then, for each of the factors in locating parks and green space, information layers in GIS environment was prepared and for each of the layers were weighted. Then, to patterning, to each of the data layers based on their importance in locating parks and green spaces by using AHP, was assigned an appropriate weight The results of integrating layers, the land area to select suitable locations for green space was classified into 5 classes It became clear land with a very good and good in the margins of the river, near residential centers, educational and regional communications network located

Drought can determined with impact of reduce rainfall and effective of available water shortage for plant. Drought mapping will be effective in water resources management in Regional and National level. Zoning maps of drought on water resources management, Regional and National level will be effective. Also use of remote sensing techniques can be display classified and mapping drought, as well as. In this regard, the use of drought indices that determined with remote sensing are the useful. The purpose of this study is to measure two drought indices of evaporative stress (ESI) and health vegetation (VHI) and compliance with the standardized precipitation index (SPI) in Tuyserkan catchment in Hamadan. For this purpose, 32 MODIS satellite image was used from 2003 to 2010. The results showed that the standardized precipitation index changes had complied by two drought indices of evaporative stress and vegetation health in during 8 years. Finally mapping of drought were show in Tuyserkan catchment to 2003-2010. Maps showed that the class changes of the drought were focuses in the central catchment that there were maximum vegetated.