Agricultural Land Cover Change in Gazipur, Bangladesh, in Relation to Local Economy Studied Using Landsat Images


Land classification is conducted in Gazipur district, located in the northern neighborhood of Dhaka, the capital of Bangladesh. Images of bands 1 - 5 and 7 of Landsat 4 - 5 TM and Landsat 7 ETM+ imagery recorded in years 2001, 2005 and 2009 are classified using unsupervised classification with the technique of image segmentation. It is found that during the eight year period, paddy area increased from 30% to 37%, followed by the increase in the homestead (55% to 57%) and urban area (1% to 3%). These changes occurred at the expense of the decrease in forest land cover (14% to 3%). In the category of homestead, the presence of different kinds of vegetation often makes it difficult to separate the category from paddy field, though paddy exhibits accuracy of 93.70% - 99.95%, which is better than the values for other categories. In addition, the analysis based on digital elevation model reveals that paddy cultivation is implemented in lowland rather than highland. Homestead areas have spread from south (low elevation) to north (high elevation), in association with the decrease in forest-covered areas.

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Shapla, T. , Park, J. , Hongo, C. and Kuze, H. (2015) Agricultural Land Cover Change in Gazipur, Bangladesh, in Relation to Local Economy Studied Using Landsat Images. Advances in Remote Sensing, 4, 214-223. doi: 10.4236/ars.2015.43017.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Bangladesh: Economy Indicators (2012) World Bank.
[2] FAO (2001) Supplements to the Report on the 1990 World Census of Agriculture. Statistical Department Series (9a). Rome.
[3] Rio + 20: May (2012) National Report on Sustainable Development.
[4] Sustainable Development Networking Program (2001) Agricultural Database. Dhaka.
[5] FAO/WFP CFSAM Report (2008)
[7] Hocking, D. and Haque, M.A. (1989) Village and Farm Forestry in Bangladesh. Brief Evaluation Report. Swiss Dev. Coop., Dhaka.
[8] Bangladesh Bureau of Statistics (2001, 2008-2012) Ministry of Planning, Dhaka.
[11] Giri, C. and Shrestha, S. (1996) Land Cover Mapping and Monitoring from NOAA AVHRR Data in Bangladesh. International Journal of Remote Sensing, 17, 2749-2759.
[12] Ali, A., Quadir, D.A. and Huh, O.K. (1987) Technical Note. Agricultural, Hydrologic and Oceanographic Studies inBangladesh with NOAA AVHRR Data. International Journal of Remote Sensing, 8, 917-925.
[13] Emch, M. and Peterson, M. (2006) Mangrove Forest Cover Change in the Bangladesh Sundarbans from 1989-2000: A Remote Sensing Approach. Geocarto International, 21, 5-12.
[14] Ahmed, B. and Ahmed, R. (2012) Modeling Urban Land Cover Growth Dynamics Using Multi-Temporal Satellite Images: A Case Study of Dhaka, Bangladesh. International Journal of Geo-Information, 1, 3-31.
[15] Food and Agriculture Organization of the United Nations (2007) Rome.
[16] Food and Agriculture Organization of the United Nations (1988) AEZ-9 and 28 Categories.
[17] Liu, W. and Yamazaki, F. (2011) Urban Change Monitoring from Multi-Temporal Terra SAR-X Images. Proceedings of the Joint Urban Remote Sensing Event, Munich, 11-13 April 2011, 277-280.
[18] Haque, M.A. (1994) Village and Farm Forestry in Bangladesh. Bangladesh Agricultural University, Mymensingh, and Swiss Agency for Development and Cooperation, Dhaka.
[19] Center for Environment and Geographical Information Services (2006) Study on Livelihood Systems Assessment, Vul- nerable Groups’ Profiling and Livelihood Adaptation to Climate Hazard and Long Term Climate Change in Drought Prone Areas of NW Bangladesh. Comprehensive Disaster Management Programme, Dhaka.
[21] Azim, M.A., Rashid, M.M., Rahman, M.M., Alam, M.M. and Begum, J. (2007) A Study on Nutritional and Socio -Economic Level of the Rural Household in Gazipur. Pakistan Journal of Nutrition, 6, 138-142.
[22] Rahman, M.M., Furukawa, Y. and Kawata, I. (2005) Homestead Forest Resources and Their Role in Household Eco- nomy: A Case Study in the Villages of Gazipur Sadar Upazila of Central Bangladesh, Small-Scale Forest Economics, Management and Policy, 4, 359-376.

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