Estimation of Winter Crops and Open Water Bodies in the Brahmaputra Floodplain of Northern Bangladesh using MODIS Imageries
DOI:
https://doi.org/10.29150/jhrs.v4.6.p129-133Keywords:
Brahmaputra, Bangladesh, MODIS, NDVI, winter crops.Abstract
Winter crops and open water bodies have a crucial role for agriculture as well as socio-economic development in the Brahmaputra floodplain of northern Bangladesh. In this paper, two multi-date MODIS Aqua imageries of 2003 and 2014 were analysed to classify winter crops and open water bodies during winter periods. Mainly two NDVI images of 2003 and 2014 were used to extract spectral profiles of winter crops and open water bodies that were classified by density slicing and iso-cluster methods. Finally, the classified results show increased trends of winter crops while other crops have decreased tendency. Moreover, an annual growth rate of winter crops and open water was 4% and 1.4% respectively, whereas other crops have negative decreased rate (-2.1%).
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Kun Y., Zhiming W., Ling S., Jie S.,Liangjun M., 2013. Crop growth condition monitoring and analysing in county scale by time series MODIS medium resolution data. Agro-Geoinformatics, 2013 second International Conference, Fairfax, VA, USA. 12-16 August 2013, IEEE, pp. 1-6,
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Le L., Mark A. F., Qinchuan X., Josh G., Yaozhong P. and Steve F., 2014. Mapping Crop Cycles in China Using MODIS-EVI Time Series. Remote Sensing, 2014, Vol 6, pp. 2473-2493. ISSN 2072-4292, DOI: 10.3390/rs6032473
Mahesh Chandra Chaturvedi, 2012. Ganga-Brahmaputra-Meghna Waters: Advances in Development and Management, CRC Press, 27 August 2012, 450 pages, pp. 168-170, ISBN-1439873763,9781439873762.
Peter J.W., Jun J., Thomas M.H., Carlos D. H., Paula A.A., Hai-Ru C., Judith A. C., Robert L. G., Timothy N.P. and Subbiah A.R., 2010. Extended- Range Probabilistic Forecasts of Ganges and Brahmaputra Floods in Bangladesh. American Meteorological society, November, 2010. DOI:10.1175/2010BAMS2911.1
Saikia Arupjyoti, 2012. Jute or Flood: Exploring the fate of certain schemes in the Brahmaputra River Valley. Paper presented on conference ‘Resources: Endowment or curse, better or worse?’ February 24-25, Yale University.
Shopan A. A., Islam A.K.M. S., Dey N.C. and Bala S.K., 2013. Estimation of the changes of wetlands in the northwest region of Bangladesh using Landsat images. 4th International Conference on Water & Flood Management (ICWFM-2013), BUET, Dhaka, Bangladesh. 4-5 October 2013.
Singh A., 1989. Digital change detection techniques using remotely sensed data, International Journal of Remote Sensing, 1989, Vol.10, pp. 989-1003.
Vancutsem C., Pekel J.F., Kayutakire F., Duveiller G., Meroni M., Baethgen W., Ceccato P., 2013. Mapping winter and summer crops in Uruguay using MODIS time series, Agro-Geoinformatics, 2013 second International Conference, Fairfax, VA, USA. 12-16 August 2013, IEEE, pp. 292-295. DOI: 10.1109/Argo-Geoinformatics.2013.6621924
Zhu, L. and Tateishi, R., 2001. Application of linear mixture model to time series AVHRR NDVI data, 22nd Asian conference on remote sensing, 5-9 November 2001, Singapore.
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Published
2015-01-27
How to Cite
Mahmud-ul-Islam, S., & Hassan, M. S. (2015). Estimation of Winter Crops and Open Water Bodies in the Brahmaputra Floodplain of Northern Bangladesh using MODIS Imageries. Journal of Hyperspectral Remote Sensing, 4(6), 129–133. https://doi.org/10.29150/jhrs.v4.6.p129-133
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Section
Hyperspectral remote sensing and Atmosphere
