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

Document Type : Science - Research

Authors

1 Azad University, North Tehran Branch

2 Islamic Azad university, North Tehran Branch

Abstract

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.

Keywords

References

References
1. Abdollahi, j., Rahimiyan, M., Shadan, M. , Dashthiyan, k. (2006), “Investigatement of Environmental effects of land use change on vegetation in urban areas using remote sensing technics ”, Journal of Environmental Science and Technology, Vol. 29: 1-6.
2. Alavi Panah K. (2003), Application of Remote Sensing in the Earth Science (soil)”, University of Tehran.
3. AliMohammadi, A., Mousivand, A., Shayan, S. (1388), “Anticipated changes in land use and land cover using satellite images and Markov chain model”, Journal Spatial Planning, Vol.14: 117-130.
4. Arabi, M. (2012),”The Hand Book Of Strategic Planning”, Tehran: Cultural Research Bureau.
5. Ba Aqideh, M., Ali Jani, B., Zeiaeyan, p. (2011),The possibility of using vegetation index NDVI in analysis of droughts in Isfahan Province”, Geographical Studies in Arid Zones,Vol.3:1-16.
6. Bajocco , S., and etal , (2012), A satellite-based green index as a proxy for vegetation   cover quality in a Mediterranean region , Ecological Research , 23: 578 – 587.
7. Cui,J., (2011), Classifying urban green space distribution: Analysing spatial relationships in human and nature interaction by integrating remote sensingnd socioeconomic data, A thesis submitted in fulfilment of requirement for the degree of Master of Science, The University of New South Wales.
8. Mohammadi, E., Jafari, M., Jafari, E. (1388), ”Analysis of the rate of changes in Chlorophyll forest lands with NDVI “,Journal of GIS&RS Application in Planning,Vol.2: 7-15.
9. Fatemi Nasrabadi, B. (2006), ”A Guide to ENVI(satellite image processing software)”, Tehran: National Cartographic center, Vol.1.
10. Fatemi,B., Rezaei, Y. (2005), ”Principles of Remote Sensing”, Tehran: Azadeh  Press, Tehran, Vol.1.
11.Garbulsky, F., and et. al , (2011), The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies: A review and meta-analysis , Remote Sensing of Environment , 115: 281 – 297.
12.Hashemi, E., Kafi, M., Hashemi, M., Khans Sefidi, M. (2009), ”Analyzing the changes of urban green space, Case study: Zone 2 of Tehran municipality”, Environmental Science, Vol.3: 77-86.
13.Karam, A., Hajjeh Foroushnyia, SH. (2013), ”The use of GIS and RS on planning of green space”, Geographic and Environmental Studies, Vol.4: 22-32.
14.Makhdoum, M. (2011),”Fundamental of Land Use Planning”, Tehran: Tehran University Press.
 
15.Ozbakir, A., Bannari, A. (2009),  Geoscience and Remote Sensing Symposium,  IGARSS,  2002 IEEE international, Vol.5.
16.Rangzan, k., Khorshidi, S., Aab shirini, A. (2009), Modulation, “NDVI and thermal band from satellite image to extract vegetation density map using RS and GIS”, Geomatics Conference 2009, National Cartographic  Centre.
17. Shetty, m and R.K. Somashekar , (2014) , Assessment of vegetation cover Trough NDVI , Bangalore India, Industrial Journal of Applied Research , No.4: 176-17.
18.Soroudi, M., jozi, A. (2013), ”Remote Sensing and implementation Markov model to study the changes of urban green space(CASE STUDY: Zone 1 of Tehran municipality) ”, Journal of Environmental Studies, Vol.1: 113-127.
19.Zobayri, M., Majd , E. (2006),” Introduction to Remote Sensing Technology and Application of Natural Resources ”, University of Tehran Press.

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History

  • Receive Date: 05 January 2015
  • Revise Date: 09 May 2015
  • Accept Date: 23 June 2015

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