Monitoring Land Use\ Land Cover Changes in Karaj By Applying Remote Sensing

Document Type : Research Paper

Author

Member of Soil and Water Research Institute

Abstract

The border of land units influenced by human, social, economic events and natural occurrence has been changed mostly based on time and location parameters and partly unplanned. Data according to the environmental conditions are necessary for source management. As it takes a long time and expense to collect data, tools and technologies are applied so that exact and less expense might be consumed. This research focused on land use change in Karaj city, located in west of Tehran interval 1987 and 2002 with applying remote sensing technique and satellite images. Landsats 5 and 7 (ETM+) images used for this study. First the region was extracted then land units classified by supervised classification, brightness and greenness images. The result from various types of classifications compared with each other as well as ground truth, so that the settlement between supervised classifications with land use can be specified. By surveying on the images reveals that magnitude of change this metropolis like the others in the world have high rate changes in social-economic environment and land use. According to the images in 1987, the extent of built-up units includes Karaj city and suburbs and its vicinities were 6032.3 hectares and in 2002 images was 10541.12 hectares. So Karaj city converted to metropolitan and vicinities to towns and cities. The high rate growing of Karaj caused farmlands and orchards transformed to build-up lands. This conversion was happened toward south and west where the lands are more suitable for cultivation and agriculture productions. According to this research, using satellite images for interval in vast areas by various processing methods and classifications are very effective and important and mostly results coincide the facts.

Keywords


  1. اسدی هرمز، 1381، بررسی اقتصادی فعالیت گندم کاری در شهرستان کرج، اولین همایش کرج شناسی
  2. علوی پناه، سیدکاظم، 1382، کاربرد سنجش از دور در علوم زمین (علوم خاک)، انتشارات دانشگاه تهران
  3. مدیریت جهاد کشاورزی شهرستان کرج، 1378، سیمای کشاورزی شهرستان کرج
  4. محمداسماعیل، زهرا، 1384، بررسی ابعاد مکانی و اقتصادی تغییرکاربری اراضی در حواشی کلان شهر کرج، نشریه شماره 1228، موسسه تحقیقات خاک و آب
  5. نجفی دیسفانی، محمد، 1377، پردازش کامپیوتری تصاویر سنجش از دور(ترجمه)، سازمان مطالعه و تدوین کتب علوم انسانی دانشگاه تهران (سمت)
  6. Ahadnejad, M., 2002. Environmental land use Change detection and assessment using with multi-temporal satellite imagery (Case Study Marageh Region). Map Asia 2002- Bangkok - Thailand
  7. Anderson, J, R.,E. Hardy, J. T. Roach, and R. E. Witmer. 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. Geological Survey Professional Paper 964.
  8. Aspinall, R. J., and M.J., Hill. Land Use Change Science, Policy and Management. Taylor & Francis Group, LLC
  9. Boitshoko, D., 2007, Extracting Spatial Information from Aerial Video Imagery for Monitoring Riparian Areas, P.21
  10. Congalton, R. G., Assessing the Accuracy of Remotely Sensed Data, Principles and Practices. Second Edition. Taylor & Francis Group, LLC
  11. Donnay, J, P., M, J, Barnsley., P, A, Longley.2001. Remote Sensing and Urban Analysis. Taylor & Francis .P 84 – 113
  12. Kachhwaha T. S. 1985. Temporal Monitoring of forest land for change detectives and forest cover mapping through satellite remote sensing techniques, Proceedings of the 6th Asian Conference on Remote Sensing. November 21-26, 1985, Hyderabad, India. PP. 276-281
  13. Liengsakul, M., Mekpaiboonwatana, S., Pramojanee, P., Bronsveld, K. & Huizing, H. 1993. Use of GIS and remote sensing for soil mapping and for locating new sites for permanent cropland: a case study in the highlands of Northern Thailand. Geoderma, 60: 293–307
  14. Lotfi, S., 2001, REMOTE SENSING FOR URBAN GROWTH IN NORTHERN IRAN. 22nd Asian Conference on Remote Sensing, 5-9 November 2001, Singapore
  15. Mather, P. M., 2004. Computer Processing of Remotely-Sensed Images, An Introduction, Third Edition, John Wiley sons, Ltd
  16. Okello, Were, Kenedy., 2008.Monitoring spatio -temporal dynamics of land cover changes in Lake Naivasha drainage basin, Kenya, ITC, The Netherland
  17. PETIT1, T , 2001.Quantifying processes of land-cover change by remote sensing: resettlement and rapid land-cover changes in south-eastern Zambia. SCUDDER2 and E. LAMBIN International Journal  Remote sensing, , vol. 22, no. 17, 3435–3456
  18. Saadat, H. , Bonnell, F. Sharifi, G., Mehuys, M.  Namdar, S. Ale-Ebrahim. 2008. Landform classification from a digital elevation model and satellite imagery. Geomorphology 100 (2008) 453–464. Elsevier
  19. Stone ., Lefever 1998, Mas 1999.International Journal of Remote Sensing 2001.no.21
  20. Warner, T , 2001. Introduction to Remote Sensing, Department of Geology and Geography West Virginia University
  21. Weerakoon, K.G.P.K., 2002. Integration of Gis Based Suitability Analysis and Multi Criteria Evaluation for Urban Land Use Planning; Contribution from the Analytic Hierachy Process. net
  22. Yuan, F., Sawaya K.E., Loeffelholz B.C, Bauer E., 2005, Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multi-temporal Landsat remote sensing. Remote Sensing of Environment 98(2-3): 317-328.
  23. Zeaiean Firouaabadi, P,.E, Ghanavati .2000 Digital Approaches for Change Detection in Urban Environment. Geographic researchs, vol.84  
  24. Zhang, Q., J. Wang, X. Peng, P. Gong and P. Shi, 2002. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. International Journal of Remote Sensing 23(15): 3057 – 3078