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Application of Remote Sensing in Development of Green Space

Authors: Mehdi Saati, Mohammad Bagheri, Fatemeh Zamanian


One of the most important parameters to develop and manage urban areas is appropriate selection of land surface to develop green spaces in these areas. In this study, in order to identify the most appropriate sites and areas cultivated for ornamental species in Jiroft, Landsat Enhanced Thematic Mapper Plus (ETM+) images due to extract the most important effective climatic and adaphic parameters for growth ornamental species were used. After geometric and atmospheric corrections applied, to enhance accuracy of multi spectral (XS) bands, the fusion of Landsat XS bands by IRS-1D panchromatic band (PAN) was performed. After field sampling to evaluate the correlation between different factors in surface soil sampling location and different bands digital number (DN) of ETM+ sensor on the same points, correlation tables formed using the best computational model and the map of physical and chemical parameters of soil was produced. Then the accuracy of them was investigated by using kappa coefficient. Finally, according to produced maps, the best areas for cultivation of recommended species were introduced.

Keywords: Remote Sensing, ETM+, Locate ornamental species, Adaphic parameters, Jiroft

Digital Object Identifier (DOI):

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[1] K. P. A. Mehrabani, N. A. Khorasani, "The role of people's participation in the preservation, maintenance and development of green space in Tehran", The Enviromental Science and Technology Magazine, 2003, Vol. 17, pp. 1-14.
[2] M. H. Jazireie, "Forestation in dry lands", University of Tehran Press, 2001.
[3] A. Jalalian, "The role of physical and morphological parameters of soil as limitations in sustainable development of landscape in Isfahan, Iran", 3th national conference of urban green space and landscape, Tehran, Iran, 2007.
[4] A. Zangiabadi, "statistical-spatial analysis of the profile of urban green space development (Case Study: Isfahan urban areas)", Journal of Environmental Studies, 2009, Vol. 35, pp. 105-116.
[5] M. Abdollahi, "Forestation plan in south region of Alborz chain mountain and its environmental impact in Tehran", M.Sc. Thesis in Forestry, IAU, Science and Research branch, Tehran, Iran, 2001.
[6] H. Ghelichnia Omrani, "The relationship between vegetation and geomorphologic factors, relying on land surveying in the Nardin watershed, Semnan province" M.Sc. Thesis in Pasturage, Gorgan University of Agricultural Sciences and Natural Resources, 1996.
[7] A. R. Maman Poshesh, "Evaluation revealed that the spatial landscape of Isfahan in both 1386 and 1302 period by satellite images and GIS" 3th national conference of urban green space and landscape, Tehran, Iran, 2007.
[8] A. Malek ghasemi, "Review principles of land Surveying and GIS in forest and green space development, Case Study: Sorkh-e-Hesar forest in Tehran", Science & Research Agricultural Magazine, No. 3, pp69-80, 2005.
[9] M. A. Nakhaie Moghadam, "Climatic factors limiting the development of urban green space in Sistan province, Iran", 3th national conference of urban green space and landscape, Tehran, Iran, 2007.
[10] A. Klute, "Method of soil analysis", Part 1, Physical and mineralogical methods, second edition, science society of American, INC., wisconsia, USA, 1989.
[11] F. F. Sabims, "Remote Sensing: principal and interpretation" W.H. Freeman and CO., Newyork.
[12] R. W. Weaver, and J. S. Angle, "Methods of soil analysis", part 2, Microbiological and. Biochemical properties, soil science of America .INC, wiscosia, USA, 1994.
[13] R. S. Dwivedi, "Remote sensing in desertification studies, how to monitor and assess desertification?" Application of Remote Sensing in Asia and Oceania Environmental Change Monitoring. Asian association and remote sensing, 1997, pp. 180-192.
[14] Soil Survey Staff, 1999." Keys to Soil Taxonomy", 8th Ed., SCS, USDA, Pocahantas press, INC, Black burg. Virginia U.S.A.
[15] D. Yuan, C. D. Elvidge and R. S. Linetta, "Survey of Multi Spectral Methods for Land Cover Change Analysis", Remote Sensing Change Detection Environmental Monitoring Methods and Applications, Sleeping Bear press, INC. 1999.