Rangpur is one of the fastest growing cities of Bangladesh with a dense population.
Being the headquarter of a division in Bangladesh, it is experiencing multi-dimensional
problems such as over urbanization, traffic congestion, water logging, and solid
waste disposal. Rangpur is a sheer example of having poor legislative actions, inefficient
management and lack of public awareness, which leads the urbanization to an unplanned
and resource consuming development. This study presents an integrated study of land
use pattern in Rangpur City, Bangladesh, by using Geographical Information Systems
(GIS) and Remote Sensing (RS). The data sources used in this study were Landsat
Thematic Mapper (TM) and a Landsat Enhanced Thematic Mapper Plus (ETM+) images taken
in 1989, 2000 and 2014, respectively. All images were geometrically and radiometrically
corrected and the change detection methods were performed. Then, supervised maximum
likelihood classification was used as a cross classification to detect change. The
study area was classified into six categories on the basis of field study, geographical
conditions, and remote sensing data. The remotely detected land use change from
1989 to 2014 shows that Rangpur is gradually changing, as planted trees, open spaces,
low land and Permanent water sources have been transformed into built-up areas.
References
[1]
Lambin, E.F. and Geist, H.J. (2006) Land Use and Land Cover Change-Local Processes and Global Impacts. Springer Publication, 222.
[2]
Pellikka, P., et al. (2004) Land Use Change Monitoring Applying Geographic Information Systems in the Taita Hills, SE-Kenya. Proceedings of the 5th African Association of Remote Sensing of Environment Conference, Nairobi, 17-22 October 2004.
[3]
Dong, Y., Forster, B. and Ticehurst, C. (1997) Radar Backscatter Analysis for Urban Environments. International Journal of Remote Sensing, 18, 1351-1364. http://dx.doi.org/10.1080/014311697218467
[4]
Yang, X. and 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, 1775-1798.
http://dx.doi.org/10.1080/01431160110075802
[5]
Dewan, A.M. and Yamaguchi, Y. (2009) Using Remote Sensing and GIS to Detect and Monitor and Use and Land Cover Change in Dhaka Metropolitan of Bangladesh during 1960-2005. Environmental Monitor Assessment, 150, 237-249. http://dx.doi.org/10.1007/s10661-008-0226-5
[6]
Li, Z.L., et al. (2012) Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences. ISPRS Congress Book, CRC Press, New York, 227.
[7]
Das, S.C. and Husnaien, N. (2008) Monitoring Land Use Changes in the North-Eastern Part of Sundarban Using Remote Sensing and GIS Techniques. Journal of the Bangladesh National Geographic Association, 365, 99-109.
[8]
Belal, A.A. and Moghanm, F.S. (2011) Detecting Urban Growth Using Remote Sensing and GIS Techniques in Al Gharbiya Governorate, Egypt. The Egyptian Journal of Remote Sensing and Space Science, 14, 73-79.
http://dx.doi.org/10.1016/j.ejrs.2011.09.001
[9]
Teesta River (2014) https://en.wikipedia.org/wiki/Teesta_River
[10]
Eastman, J.R. (2009) IDRISITaiga Tutorial (Manual Version 16.02). Clark Labs, Clark University, Massachusetts.
[11]
Geospatial Data Service Centre (2008)
http://gdsc.nlr.nl/gdsc/information/earth_observation/band_combinations
[12]
Hassan, M.S. and Mahmud, S. (2013) Urban Area Change Analysis in the Rangpur Sadar Upazila, Bangladesh Using Landsat Imageries. International Journal of Science and Research (IJSR), 4, 469-474.