The use of Aster satellite images and SVM technique in zoning and prioritizing the urban context against the earthquakes (case study of the 5 nd area of Kerman city)

Subject Areas : civil programing

Maryam  Nohe sara ¹ (PhD student in Geography and Urban Planning, Islamic Azad University, Yazd Branch, Yazd, Iran.)
Malihe  Zakeriyan ² (2- Faculty Member, Department of Geography and urban planning, Islamic Azad University, Miybod azd Branch, Iran)
Seyad Ali  Almodaresi ³ (Professor of Geomorphology, Department of Geography and Urban Planning, Islamic Azad University, Yazd Branch, Yazd, Iran.)
Mostafa  Khabazi ⁴ (Associate Professor of Geomorphology, Shahid Bahonar University of Kerman. Kerman, Iran.)
Mohamad Hosin  Sarai ⁵ (Professor, Department of Geography and Urban Planning, Yazd University. Yazd, Iran)

Received: 2023-01-21 Accepted : 2023-05-20 Published : 2023-06-21

Keywords: Earthquake, Vulnerability, Worn Texture, remote sensing, Vector Machine Classification,

Abstract :

 Iran is one of the ten earthquake-prone countries and the sixth earthquake-prone country in the world. The city of Kerman, as the center of the country's largest province, is no exception to this rule, with a lot of worn-out urban fabric. The city of Kerman is located on the northern edge of the Kerman Plain as a thrust subduction (graben) along with numerous faults on the border between the mountains and the plain and the areas near the city, some of which can cause earthquakes even stronger than 7. Richter. The worn-out urban texture has also added to it. Today, the vulnerability of cities to earthquakes has become an important issue for environmental risk experts. In this research, using ASTER satellite images of 2007, the worn-out textures of Kerman city were identified using SVM. In this study, the kappa coefficient of 76% was determined for all classes and the kappa coefficient of 59% was identified in Kerman. The results showed that the support vector machine classification method has the ability to detect nearly 45% of the worn tissue of the area. This identification showed that the support vector machine method could not work very well in identifying the area of five worn-out urban fabrics. As a result, the heritage of the area was identified with the control points in the worn-out fabric by field investigation and matching Google images. Due to the existence of many barren lands in this area and the spectral similarity of the barren land with worn-out texture, the support vector machine method could not provide proper identification.

References:

1. Akbarpour, M. et al., 2009. using appropriate technical strategies in improving and renovating worn-out fabric in a case study of Siros neighborhood in Tehran, Geography and Environmental Planning, No. 40.


2. Alami, R., 2005. Geographical histology of the old neighborhoods of Birjand for revitalization and prevention of wear and tear, Master's Thesis of Geography and Urban Planning, University of Tehran.


3. Alavi Panah, K., 2017. Application of Remote Sensing in Earth Sciences, 6th edition, Tehran University Press.


4. Anderson, C., K., Powe, M., McMillan, T., Winn, Diane., “Remaking Minnie Street: The Impacts of Urban Revitalization on Crime and Pedestrian Safety”, Journal of Planning Education and Research, Vol (26),No (3).


5. Chardon, A. C.,1999. "A geographic approach of the global Vulnerability in urban Area: Case of Manizales، Colombian Andes.


6. Comprehensive plan of Kerman city., 1975. Daz consulting engineers.


7. Comprehensive plan of Kerman city., 1986. Sharestan consulting engineers.


8. Comprehensive plan of Kerman city., 2001. Sharestan consulting engineers.


9. Frost, D.m, Chameau, J.L, and lean A.chameau, 1993, Geographic information systems and their application in earthquake engineering, American Society of Civil Engineers, New York.


10. Hassanzadeh, R., A., Abbasnejad, A., Alavi, and A., Sharifi Tashnizi. 2012. Analysis of the risk of earthquakes in the city of Kerman with an emphasis on the use of GIS in preliminary microzoning grade 2, Earth Sciences Quarterly, year 21, number 81, pages 23-30


11. Jahan Shahi, M. H., 2003. Analysis of worn-out textures and urban shaping and its strategies, Journal of Urban Studies, No. 5.


12. Kalantari, Kh., A., Pourahmad., 2006. techniques and experiences of urban restoration, Jihad University Press, - Tehran.


13. Motuf, Sh., Z., Khodayi., 2010. Article on patterns of prosperity, improvement and renovation of dilapidated urban tissues, Quarterly Journal of Urban Management Studies, first year, first issue, third issue, Tehran.


14. Nazari Alamabadi, M. 2000 Preparation of a part of the city of Kerman (residential area design). Master's thesis, Islamic Azad University, Kerman branch.


15. Pour Ahmad, , M.H., Tejali, 2001. the role of tourism in the economic development of Kerman city, Journal of Faculty of Literature and Humanities, University of Tehran, pp. 17-32.


16. Pour Ahmad, A., 1999. Geography and Functions of Kerman Market, Central Publications of Kerman Science, First Edition.


17. Pourkermani, M., , Arin., 1999. Seismicity of Iran, Shahid Beheshti University Press.


18. Shafaei, S., Sharan Consulting Engineers, 2009. A guide to identifying and intervening in worn-out fabrics, Fan and Art Designers Company.


19. Shafiei Nesab, S.R., F., Kalabifar, 2008. worn-out fabric and policies to improve housing quality", Urban Architecture Quarterly, Year 17, Number 55, Number 20 of the new edition.