Estimation of wheat crop evapotranspiration using NDVI vegetation index

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Published Mar 1, 2016
DOI: https://doi.org/10.31018/jans.v8i1.767

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Sirisha Adamala
Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur-721302, (West Bengal), INDIA
Yogesh Anand Rajwade
Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur-721302, (West Bengal), INDIA
Y.V. Krishna Reddy
Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad-500059, (Telangana), INDIA

Abstract

The evapotranspiration of the wheat crop grown in Tarafeni South Main Canal (TSMC) irrigation command area of West Bengal, India was estimated based on Normalized Difference Vegetation Index (NDVI) from LANDSAT images. The crop evapotranspiration (ETc) of wheat crop was estimated using the crop coefficient (Kc) maps and the reference evapotranspiration (ETo) in the TSMC irrigation command area. The ETo was estimated from the well known temperature based ETo estimation method, i.e. FAO-24 modified Blaney-Criddle method using measured maximum and minimum air temperatures data during January 2011 in the command area. The Kc maps were mapped in ARC GIS software using procured LANDSAT images for the study period. The area under wheat crop was clipped from land use/land cover map generated from LANDSAT image of January, 2011 for winter season. Further, the crop evapotranspiration map was obtained by multiplying Kc map with the estimated ETo value i.e., 5.76 mm/day for a particular day. The maximum crop evapotranspiration computed for Rabi crop was 5.57 mm/ day, whereas minimum was 1.59 mm/day for the TSMC command area.

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Keywords

Crop coefficient, Irrigation, Reference evapotranspiration, Remote sensing, Vegetation index

References
Adamala, S., Raghuwanshi, N. S., Mishra, A. and Tiwari, M. K. (2014). Evapotranspiration modeling using secondorder neural networks. Journal of Hydrologic Engineering, 19(6):1131-1140.
Allen, R. G., Pruitt, W. O., Raes, D., Smith, M. and Pereira, L. S. (2005). Estimating evaporation from bare soil and the crop coefficient for the initial period using common soils information. Journal of Irrigation and Drainage Engineering, 131(1):14-23.
Bandyopadhyay, P. K. and Mallick, S. (2003). Actual evapotranspiration and crop coefficients of wheat (Triticum Aestivum) under varying moisture levels of humid tropical canal command area. Agricultural Water Management, 59(1):33-47.
Bhadra, A., Bandyopadhyay, A., Raghuwanshi, N. S., Singh, R. (2009). Integrated reservoir-based canal irrigation model (IRCIM) - II: Application. ASCE Journal of Irrigation and Drainage Engineering, 135(2): 158-168. ISSN: 0733-9437 (Print), 1943-4774 (Online). DOI: 10.1061/(ASCE)0733-9437(2009)135:2(158).
Bhadra, A., Bandyopadhyay, A., Singh, R., and Raghuwanshi, N. S. (2015). Development and application of a simulation model for reservoir management. Lakes & Reservoirs:
Research & Management, 20: 216-228. doi: 10.1111/lre.12106.
Brunsell, N. A. and Gillies, R. R. (2002). Incorporation of surface emissivity into a thermal atmospheric correction. Photogrammetric Engineering and Remote Sensing, 68 (12):1263-1269.
Doorenbos, J. and Pruitt, W. O. (1977). Guidelines for predicting crop water requirements. FAO Irrigation and Drainage Paper No 24, FAO, Rome, Italy.
Gontia, N. K. and Tiwari, K. N. (2004). Crop evapotranspiration estimation using temporally distributed normalized difference vegetation index. Paper presented in international conference on emerging technologies in agricultural and food engineering held at IIT Kharagpur, India.
Gontia, N. K. and Tiwari, K. N. (2010). Estimation of crop coefficient and evapotranspiration of wheat (Triticum aestivum) in an irrigation command area using remote Sensing and GIS. Water Resource management, 24:1399-1414.
Jagtap, S. S. and Jones, J. W. (1989). Stability of crop coefficients under different climatic and irrigation management practices. Irrigation Science, 10:231-244.
Jayanthi, H., Nealea, C. M. U. and Wright, J. L. (2007). Development and validation of canopy reflectance based crop coefficient for potato. Agricultural Water Management, 88(1-3):235-246.
Manserud, R. A and Leemans, R. (1992). Comparing global vegetation maps with the kappa statistics. Ecological Modelling, 62:275-279.
Mishra, P., Tiwari, K. N., Chowdary, V. M. and Gontia, N. K. (2005). Irrigation water demand and supply analysis in the command area using remote sensing and GIS. Hydrology Journal IAH, 28(1-2):59-69.
Ray, S. S. and Dadhwal, V. K. (2000). Estimation of evapotranspiration of irrigation command area using remote sensing and GIS. Agricultural Water Management, 49:239-249.
Issue
Vol 8 No 1 (2016)
Section
Research Articles

This work is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) © Author (s)

How to Cite

Estimation of wheat crop evapotranspiration using NDVI vegetation index. (2016). Journal of Applied and Natural Science, 8(1), 159-166. https://doi.org/10.31018/jans.v8i1.767