Sanjari, S. (2016). Assessing the Trend of Land use Changes in Bam Area. , 4(1), 21-31. doi: 10.22092/lmj.2016.107014
Saleh Sanjari. "Assessing the Trend of Land use Changes in Bam Area". , 4, 1, 2016, 21-31. doi: 10.22092/lmj.2016.107014
Sanjari, S. (2016). 'Assessing the Trend of Land use Changes in Bam Area', , 4(1), pp. 21-31. doi: 10.22092/lmj.2016.107014
Sanjari, S. Assessing the Trend of Land use Changes in Bam Area. , 2016; 4(1): 21-31. doi: 10.22092/lmj.2016.107014

Assessing the Trend of Land use Changes in Bam Area

مدیریت اراضی
Article 4, Volume 4, Issue 1, March 2016, Pages 21-31    PDF (1.64 M)
Document Type: Research Paper
DOI: 10.22092/lmj.2016.107014
Author
Saleh Sanjari*
Lecturer Dept., of Soil Sci., Faculty of Agriculture, University of Jiroft, Iran.
Abstract
Presently, unplanned changes of land use have become a major problem. Most land use changes occur without a clear and logical planning with little attention to their environmental impacts. Since the land use changes are being happened at large areas, remote sensing technology can be used as an essential tool for detecting the land use changes. Current research evaluated land use change in Bam region for two scenarios during an 18-years period. Thematic Mercator landsat (1987) and Enhancement Thematic Mapper Plus (2005) image sensor were used. After measures required pre-processing, with supervised classification software, environmental change detection maps obtained and the final results were presented. The results indicate that palm plantation area increased 3 percent during this period and there is tendency to increase garden area in the region. The overall map accuracy of dates in Bam region in 2005 was 99.98 percent and kappa coefficient was 99.86 percent. Based on the findings of this study, increase in production and economic value of a product can increase the tendency to its use.
 
Keywords
Land use change; Remote Sensing; ENVI 4.3; Bam
References
  1. Ashraf, M., and Y.D. Yasushi. 2009. Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography. 29: 390-401.
  2. Billah, M., and G.A. Rahman. 2004. Land cover mapping of Khulna city applying remote sensing technique. 12th International Conference on Geoinformatics−Geospatial Information Research: Bridging the Pacific and Atlantic. PP. 707-714.
  3. Fan, F., Q. Wang., and Y. Wang. 2007. Land use and land cover change in Guangzhou, China, from 1998 to 2003, based on Landsat TM/ETM+ imagery Sensors. 7: 1323-1342.
  4. Gomarasca, M.A. 1993.One century of land use changes in the metropolitan area of Milan (Italy). Int. J.R.S. 14(2): 211-223.
  5. Hager, W.H. 1987. Lateral outflow over side weirs. Journal of Hydraulic Engineering, 113(4): 491- 504.
  6. Jeloudar, zadeh, J., P. Garaei., and A. Kelarestaghi. 2006. Landuse changes detection and spatial distribution with using GIS techniques, case study Lajim Rood Drainage Basin, Iran. Map Asia conference.
  7. Jensen, J.R. 2004. Digital change detection. Introductory digital image processing: A remote sensing perspective. New Jersey, Prentice-Hall. PP. 467– 494.
  8. 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
  9. Kevin O'Donnell, T., K.W. Goyne., R.J. Miles., C. Baffaut., S.H. Anderson., and K.A. Sudduth. 2010. Identification and quantification of soil redoximorphic features by digital image processing. Geoderma. 157: 86–96.
  10. Koolhoven, E., W. Hendrikse., W. Nieuwenhuis., B. Retsios., M. Schouernburg., L. Wang., P. Buelde., and R. Nijmeijer. 2005. ILWIS 3.3 Academic, TC, Netherland.
  11. Lambin, E.F., and H. Geist. 2006. Land-Use and Land-Cover Change: Local Processes and Global Impacts. Springer.
  12. Lausch, A., and F. Herzog. 2002. Applicability of landscape metrics for the monitoring of landscape change: issues of scale, resolution and interpretability. Ecological Indicators. 2(1): 3-15.
  13. Pakparvar, M., D. Gabriels., K. Aarabi., M. Edraki., D. Raes., and W. Cornelis. 2012. Incorporating legacy soil data to minimize errors in salinity change detection: a case study of Darab Plain, Iran. International Journal of Remote Sensing, 33(19): 6215-6238.
  14. Rajesh Bahadur, T., and Y. Murayama. 2006. Land use change analysis using remote sensing and GIS: A case study of Kathmandu metropolitan, Nepal. pp22.
  15. Shalaby, A., and R. Tateishi. 2007. Remote sensing and for mapping and monitoring land cover and land use changes in the Northwestern coastal zone of Egypt. Applied Geography. 27: 28-41.
  16. Tapiador, F.J., and L.J. Casanova. 2003. Land use mapping methodology using remote sensing for the regional planning directives in Segovia, Spain Landscape and Urban Planning. 62: 103–115.
  17. Wu, Q., H.Q. Li., R.S. Wang., J. Paulussen., Y. He., M. Wang., B.H. Wang., and Z. Wang. 2006. Monitoring and predicting land use change in Beijing. Landscape and Urban Plan. 78: 322-333.
Statistics
Article View: 1,380
PDF Download: 2,197


counter
Journal management system. designed by sinaweb