Studying of quantitative & qualitative changes of green space by Markov and NDVI index (case study: District of 18,19&21 of Tehran Municipality of)

The aim of this study had been evaluated the qualitative and quantitative characteristics of green space in 18,19 and 21 district of Tehran Municipality. So using satellite image of Land sat 5 in 1991, 2000 and2010 in areas of study, green space density maps is provided by NDVI index. To predict the future trend of green space of the Markov chain model was used, also. The results show that most of the changing in land use related to green spaces and conversion of them to urban land use. Based on results argued that the development of urbanization in case study, caused to loss of green space and agricultural land and least likely has been related to change in other land uses. The results of probability of changes in land uses and classification of NDVI has determined that 12.5 hectares has increased the urban areas. Therefor it caused to reduction of agricultural and green areas in case study. Also, in this research has used strategic management technique and SWOT matrix for evaluating of internal &external effecting factors. According to obtained score from internal(2.89) & external(3.23) factors in such circumstances, districts should to adopt strategies of “power-chance” or SO. A review of detailed plan and legal requirement is one recommended strategies.