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Mapping Agriculture Dynamics and Associated Flood Impacts in Bihar using Time-series Satellite Data

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Climate Change and Agriculture in India: Impact and Adaptation

Abstract

Agriculture is the prime requirement for sustaining human life on earth, and agriculture sustainability depends on soil health and suitable climatic variations. Human have adopted many local-weather-dependent crop types and its cultivation patterns based on knowledge about long term climatic and environmental conditions. Any anomaly in these factors would result in unforeseen reduction in the food production and associated socio-economic chaos at local/regional to global scale. Due to anthropogenic activities like expansion of urban area, industrialization, deforestation etc. have increased the greenhouse gases (GHGs) level and hence the mean earth surface temperature has increased by 0.74 °C during 1900 to 2000 AD and it is anticipated to rise by 1.4–5.8 °C during 2000 to 2100 AD with notable local differences which would result in increase in the frequency of drought, flood, sea level rise etc. and will drastically affect the crop production. Bihar is one of the fertile regions in India, gifted with numerous water resources like Ganga, Gandak and Kosi and many more rivers. But these rivers are both boon and bane to Bihar because most of the rivers flood during monsoon season. Hence it would be interesting to know the Agriculture cropping pattern over a decade, its changing scenario and the impact of flood on agriculture area in Bihar. In this regard, current study attempted to use time-series remote sensing data from 2001 to 2012 in deriving spatio-temporal, seasonal and annual cropping pattern, and as well as flood scenario purely based on space based observation.

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References

  • Amarnath, G., Ameer, M., Aggarwal, P., & Smakhtin, V. (2012). Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data. International Society for Optics and Photonics, 853–818. https://doi.org/10.1117/12.974653.

  • Census of India (2011). “Bihar Population Census.” Ministry of Home Affairs, Office of the registrar general & census commission, Government of India. http.//www.censusindia.gov.in/2011-prov-results/prov_data_products_bihar.html.

  • Chowdary, V. M., Chandran, R. V., Neeti, N., Bothale, R. V., Srivastava, Y. K., Ingle, P., Ramakrishnan, D., Dutta, D., Jeyaram, A., Sharma, J. R., & Singh, R. (2008). Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS. Agricultural Water Management, 95, 754–766.

    Article  Google Scholar 

  • DES (2016). Bihar Statistical Hand Book 2006. Directorate of Economics and Statistics, Department of Planning & Development, Patna, Government of Bihar. http.//dse.bih.nic.in/.

    Google Scholar 

  • DSV (2014). Monthly rainfall Statistics during 1989 to 2011. Directorate of Statistics Evaluation, Department of Planning and Development, Patna, Government of Bihar.

    Google Scholar 

  • Galford, G. L., Mustard, J. F., Melillo, J., Gendrin, A., Cerri, C. C., & Cerri, C. E. P. (2008). Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil. Remote Sensing of Environment, 112, 576–587.

    Article  Google Scholar 

  • GOB (2007). State of Environment Report.” Bihar State Pollution Control Board and Department of Environment and Forest, Government of Bihar.

    Google Scholar 

  • GOB (2012). State Action Plan on Climate Change. Supported by United Nations Development Programme India.

    Google Scholar 

  • GOB (2014). Five year plan 2012–17 and annual plan 2012–13. Planning and development Department, Government of Bihar. http://planning.bih.nic.in/

  • Kalra, N., Aggarwal, P. K., Chander, S., Pathak, H., Choudhary, R., Choudhary, A., Mukesh, S., Rai, H. K., Soni, U. A., Anil, S., Jolly, M., Singh, U. K., Owrs, A., & Hussain, M. Z. (2003). In P. R. Shukla, S. K. Sharma, N. H. Ravindranath, A. Garg, & S. Bhattacharya (Eds.), Impacts of climate change on agriculture. Climate change and India: Vulnerability assessment and adaptation (pp. 193–226). Hyderabad: Orient Longman Private Ltd..

    Google Scholar 

  • Kumar, P., & Jeganathan, C. (2016). Monitoring horizontal and vertical cropping pattern and dynamics in Bihar over a decade (2001–2012) Based on Time-Series Satellite Data. Journal of Indian Society of Remote Sensing. https://doi.org/10.1007/s12524-016-0614-1.

  • Mahato, A. (2014). Climate change and its impact on agriculture. International Journal of Scientific and Research Publications, 4(4), 1–6.

    Google Scholar 

  • Mall, R. K., Singh, R., Gupta, A., Srinivasan, G., & Rathore, L. S. (2006). Impact of climate change on Indian agriculture: A review. Climatic Change, 78(2–4), 445–478.

    Article  Google Scholar 

  • Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J., & Hanson, C. E. (2007). In M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden, & C. E. Hanson (Eds.), Climate change 2007: Impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change (pp. 23–78).

    Google Scholar 

  • Turner, B. L., II, Kasperson, R. E., Maston, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Eckley, N., Kasperson, J. X., Luers, A., Martello, M. L., Polsky, C., Pulsipher, A., & Schiller, A. (2003). A framework for vulnerability analysis in sustainability science. PNAS, 100(14), 8074–8079.

    Article  CAS  Google Scholar 

  • UNDP (2010). Mapping climate change vulnerability and impact scenarios: A guidebook for sub-national planners.1–83.

    Google Scholar 

  • USAID (2013). Uganda climate change vulnerability assessment report African and Latin American Resilience to Climate Change (ARCC) report.

    Google Scholar 

  • Wardlow, B. D., & Egbert, S. L. (2008). Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the US Central Great Plains. Remote Sensing of Environment, 112, 1096–1116.

    Article  Google Scholar 

  • Xiao, X. M., Liu, J. Y., Zhuang, D. F., Frolking, S., Boles, S., Xu, B., Liu, M. L., Salas, W., Moore, B., & Li, C. S. (2003). Uncertainties in estimates of cropland area in China: A comparison between an AVHRR-derived dataset and a Landsat TM-derived dataset. Global and Planetary Change, 37, 297–306.

    Google Scholar 

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Correspondence to C. Jeganathan .

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Jeganathan, C., Kumar, P. (2019). Mapping Agriculture Dynamics and Associated Flood Impacts in Bihar using Time-series Satellite Data. In: Sheraz Mahdi, S. (eds) Climate Change and Agriculture in India: Impact and Adaptation. Springer, Cham. https://doi.org/10.1007/978-3-319-90086-5_5

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