Remote Sensing & GIS for Land cover classification and change detection in Gazipur Sadar, Bangladesh during (1973-2017).

DOI: https://doi.org/10.14710/geoplanning.5.2.%25p
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Published: 29-11-2018
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This paper has been developed to capture the land coverage change in Gazipur Sadar Upazila with the help of remote sensing data of 44 years from 1973 to 2017. After acquiring the study area image of 1973, 1991, 2006 and 2017 supervised classification method has been used to get the accurate information from the satellite image and the whole outcome has been transformed into measurable unit (sq km) and graphs. The accuracy of land coverage was ranged from 85% to 89%. The outcome says that the acceleration of economic growth and pressure of huge population took a heavy toll on the vegetation coverage which decreased -199.7%. People are destroying vegetation coverage for building up settlements and infrastructure. In the year 2017, the map shows that the built-up area increased 312.9% for industry, settlement and agricultural purpose. Moreover agricultural land also drops down from 42% to 32%.  The rapid rate of decreasing vegetation coverage and small amount of existing vegetation coverage only 57 sq km (in 2017) is a red alert for the region. The Sal forest and other special flora species of that region is valuable resource for environment. This paper shed light on the fact that it is urgent to protect vegetation coverage so it will help the authority to make good policies and use other techniques to save vegetation coverage.

Keywords

Remote Sensing, Land Cover, Geographic information system (GIS), Change detection, Gazipur

  1. Md Arafat Hassan 
    , Bangladesh
  2. Rakibul Islam 
  3. Rehnuma Mahjabin 
    , Bangladesh
  1. Lambin, E.F., Baulies, X., Bockstael, N., Fischer, G., Krug, T., Leemans, R., Moran, E.F., Rindfuss, R.R., Sato, Y., Skole, D., Turner, B.L. II, Vogel, C., 1999. Land-use and land-cover change (LUCC):Implementa tion strategy. IGBP Report No. 48, IHDP Report No. 10, Stockholm, Bonn.
  2. Dixon. R.K..Brown. S. Houghton, R. A.. Solomon. A. M.. Trexler. M.c.. and Wisniewski, j.(1994). Carbon pools and flux of global forest ecosystems. Science 263: 185-190.
  3. Ojima, D.S.. Galvin, K.A.. and Turner. B.I.. (1994), The globalimpact of land-use change. Bioscience 44:300-304
  4. Alves, D. S., & Skole, D. L. (1996). Characterizing land cover dynamics using multi-temporal imagery. International Journal of Remote Sensing, 17(4), 835–839.
  5. Shalaby, A., & Tateishi, R. (2007). Remote sensing and GIS for mapping and monitoring land cover and land use changes in the Northwestern coastal zone of Egypt. Applied Geography, 27(1), 28–41.
  6. Meyer. W.B.. and Turner, B.L.., II, (1994). Changes in Land Use and Land Cover. A Global Perspective. Cambridge University Press, Cambridge, UK.
  7. Xin, Z.B., Xu, J.X., Zheng, W., 2008b. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau (1981–2006): impacts of climate changes and human activities. Sci. China Ser. D: Earth Sci. 51 (1), 67–78.
  8. Canadell, J.G and Raupach, M.R. (2008). Managing Forests for Climate Change Mitigation. Science 5882(320):1456-1457.
  9. Haq S, Rahman A, Mallik D. (2017). Population and Environment in Bangladesh.
  10. World Development Indicators database, World Bank, 15 December 2017
  11. Rahman A Atiq (Eds. 1994): Environment and Development in Bangladesh, The University Press Limited (UPL), Dhaka, Bangladesh
  12. Giri, C.; Shrestha, S. Land cover mapping and monitoring from NOAA AVHRR data in Bangladesh. Int. J. Remote Sens. 1996, 17, 2749–2759.
  13. Quasem, M.A. Conversion of agricultural land to non-agricultural uses in Bangladesh: Extent and determinants. Bangladesh Dev. Stud. 2011, 34, 59–85.
  14. Hasan, M.; Hossain, M.; Bari, M.; Islam, M. Agricultural Land Availability in Bangladesh; SRDI, Ministry of Agriculture: Dhaka, Bangladesh, 2013; p. 42. ISBN 978-984-33-6141-7.
  15. Bangladesh bureau of statistics (BBS) Statistics and informatics division(SID) Ministry of planning government of the people’s republic of Bangladesh (2011)
  16. Dhaka Mirror.(2013). Hundreds of acres of forest, crop land, water bodies destroyed
  17. Fazal S.A.*, Bhuiyan M.A.H., Chowdhury M.A.I. and Kabir M.M, (2015).International Research Journal of Environment Sciences, ISSN 2319–1414. Vol. 4(11), 1-10, November (2015) Int. Res. J. Environment Sci. International Science Congress Association. Effects of Industrial Agglomeration on Land-Use Patterns and Surface. Water Quality in Konabari, BSCIC area at Gazipur, Bangladesh
  18. Dong, Y., Forster, B., & Ticehurst, C. (1997). Radar backscatter analysis for urban environments. International Journal of Remote Sensing, 18(6), 1351–1364.
  19. Yang, X., & Lo, C. P. (2002). Using a time series of satellite imagery to detect land use and cover changes in the Atlanta, Georgia. International Journal of Remote Sensing, 23(9), 1775–1798.
  20. Alphan, H. (2003). Land use change and urbanization in Adana, Turkey. Land Degradation and Development, 14 (6), 575–586.
  21. . Local Government Engineering Department, Ministry of local government, rural development and cooperative. (2017)
  22. Banglapedia: Gazipur Sadar Upazila
  23. Brammer. H.1996, The Geography of the Soils of Bangladesh, Dhaka Bangladesh, University Press: 1996
  24. Rasheed. S, 2008, Bangladesh Resource and Environmental Profile, AH Development Publishing House, Dhaka, Bangladesh.
  25. Food and Agricultural Organization, Soil Portal 1988, World Reference Base
  26. Lawrence B. Lesser. "Economic Reconstruction after Independence". A Country Study: Bangladesh (James Heitzman and Robert Worden, editors). Library of Congress Federal Research Division (September 1988). This article incorporates text from this source, which is in the public domain.About the Country Studies / Area Handbooks Program: Country Studies – Federal Research Division, Library of Congress
  27. The Daily Star article: (2017). October 19, 30 structures constructed illegally along Turag river: Report.
  28. Rahman, L. M. (2000). The Sundarbans: a unique wilderness of the world. USDA Forest Service Proceedings RMRS-P-15-VOL-2, 143-148.
  29. Millat-e-Mustafa, M. (2002). A Review of Forest Policy Trends in Bangladesh -Bangladesh Forest Policy Trends. Policy Trend Report, 2002:114-121.
  30. Salam, M.A. , Noguchi,T. Koike,M.(2004)Factors influencing the sustained participation of farmers in participatory forestry: a case study in central Sal forests in Bangladesh, Salam, M. A., Noguchi, T., & Koike, M. (2005). Factors influencing the sustained participation of farmers in participatory forestry: a case study in central Sal forests in Bangladesh. Journal of Environmental Management, 74(1), 43-51.
  31. Sultana M.S., Kulsum U., Shakila A. and Islam M.S., Toxic Metal Contamination on the River near Industrial Area of Dhaka, Universal Journal of Environmental research and Technology, 2(2), 56-64 (2012)
  32. Ferdous A, Kenneth J T. Current constraints and future possibilities for Bangladesh fisheries. Food Policy. 2001; 26: 297–313.
  33. Anderson, R., Hardy, E. E., Roach, J. T., & Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data. USGS Professional Paper 964. Washington, DC.
  34. Bolstad, P. V., & Lillesand, T. D. (1991). Rapid Maximum Likelihood classification. Photogrammetric Engineering & Remote Sensing, 57, 67–74. Center for Urban Studies (CUS), National Institute of Population, Research and Training (NIPORT), & Measure Evaluation. (2006). Slums in urban Bangladesh: Mapping and census, 2005. Dhaka, Bangladesh/Chappell Hill, USA
  35. Dewan, A.M., Yamaguchi, Y., 2009a. Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005. Environ. Monit. Assess. 150, 237–249. http://dx.doi.org/10.1007/s10661-008-0226-5.
  36. Dewan, A.M., Yamaguchi, Y., 2009b. Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization.Appl. Geogr. 29, 390–401. http://dx.doi.org/10.1016/j.apgeog.2008.12.005.
  37. Environmental System Research Institute (2005). Using ArcGIS. Redlands, USA: ESRI.
  38. Leica Geosystems (2006). Erdas Imagine Tour Guides. USA: Leica Geosystems Geospatial Imaging.
  39. Uddin, K., Gurung, D.R., 2010. Land cover change in Bangladesh- a knowledge based
  40. Classification approach. Area, 41–46.
  41. López-Serrano, P.M., Corral-Rivas, J.J., Díaz-Varela, R.A., Álvarez-González, J.G.,
  42. López-Sánchez, C.A., 2016. Evaluation of radiometric and atmospheric correction algorithms for aboveground forest biomass estimation using Landsat 5 TM data. Remote Sens. 8, 1–19. http://dx.doi.org/10.3390/rs8050369.
  43. Anderson, R., Hardy, E. E., Roach, J. T., &Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data. Sioux Falls, USA: USGS Professional Paper 964.
  44. Islam, K., et al.. Egypt. J. Remote Sensing Space Sci. (2017), http://dx.doi.org/10.1016/j.ejrs.2016.12.005