Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Estimation of Crop Coefficient and Evapotranspiration of Wheat (Triticum aestivum) in an Irrigation Command Using Remote Sensing and GIS

  • 1115 Accesses

  • 32 Citations

Abstract

Remote sensing and Geographical Information System (GIS) techniques were used to estimate actual crop evapotranspiration of wheat crop grown in Tarafeni South Main Canal (TSMC) irrigation command of West Bengal State in India. The area under wheat crop was clipped from landuse/land cover map generated from Indian Remote Sensing Satellite P6 (IRS P6) image of January, 2004 for winter season 2003–04. The IRS P6 image and four wide field sensor (WiFS) images for different months of winter season were used to determine the Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) for area under wheat crop. The relationship between vegetation indices and crop coefficients (Kc) of wheat for corresponding months were developed. Based on these developed regression equations crop coefficient maps were generated for each month of wheat crop season. Monthly reference crop evapotranspiration (ETo) was estimated based on FAO-56, Penman–Monteith method. ETo was combined with spatially distributed Kc maps of different months of wheat crop season to generate crop evapotranspiration (ETc) maps of each month. The crop water demand of wheat estimated using spatially distributed ETc maps for months of December 2003, January 2004, February 2004, March 2004 (1st Fortnight) and March 2004 (2nd Fortnight) were found to be 3.98, 8.14, 4.66, 2.49, and 1.21 million cubic meter (MCM) respectively. Based on crop evapotranspiration the total crop water demand of wheat crop in irrigation command of TSMC was estimated as 20.48 MCM.

This is a preview of subscription content, log in to check access.

References

  1. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, FAO, Rome, Italy

  2. Anonymous (2001) Annual report-2001 of Kangsabati command area development authority, Bankura, West Bengal, 51 pp

  3. Bandyopadhyay PK, Mallick S (2003) Actual evapotranspiration and crop coefficients of wheat (Triticum aestivum) under varying moisture levels of humid tropical canal command area. Agric Water Manag 59(1):33–47

  4. Doorenbos J, Pruitt WO (1977) Guidelines for predicting crop water requirements. FAO Irrigation and Drainage Paper No 24, FAO, Rome, Italy

  5. Gontia NK, Tiwari KN (2004) Crop evapotranspiration estimation using temporally distributed normalized difference vegetation index. Paper presented in international conference on emerging technologies in agricultural and food engineering (etae-2004) held at IIT Kharagpur, India, 14–17 Dec 2004

  6. Huete AR (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25:295–309

  7. Jagtap SS, Jones JW (1989) Stability of crop coefficients under different climatic and irrigation management practices. Irrig Sci 10:231–244

  8. Jayanthi H, Nealea CMU, Wright JL (2007) Development and validation of canopy reflectance-based crop coefficient for potato. Agric Water Manag 88(1–3):235–246

  9. Jongschaap REE (2006) Integrating crop growth simulation and remote sensing to improve resource use efficiency in farming systems. A Ph. D. Thesis submitted to Wageningen University, Wageningen, the Netherlands, 130 pp

  10. Lillesand TM, Kiefer RW (2000) Remote sensing and image interpretation, 4th edn. Wiley, New York

  11. Manserud RA, Leemans R (1992) Comparing global vegetation maps with the kappa statistics. Ecol Model 62:275–279

  12. Mishra P, Tiwari KN, Chowdary VM, Gontia NK (2005) Irrigation water demand and supply analysis in the command area using remote sensing and GIS. Hydrol J IAH 28(1–2):59–69

  13. Patel VB (1999) Drip irrigation: using water sensibly. The Hindu survey of Indian agriculture, pp 165–168

  14. Ray SS, Dadhwal VK (2000) Estimation of evapotranspiration of irrigation command area using remote sensing and GIS. Agric Water Manag 49:239–249

  15. Reginato RJ, Jackson RD, Pinter PJ Jr (1985) Evapotranspiration calculated from remote multispectral and ground station meteorological data. Remote Sens Environ 18(1):75–89

  16. Roerink GJ (1994) The impact of satellite sensor resolution on the regional evaporation statistics in large-scale irrigation schemes, a case study in the Mendoza Province, Argentina, M.Sc. thesis, Internal Note 312, DLO-Winand Staring Centre, Wageningen, The Netherlands, 58 pp

  17. Roerink GJ, Bastiaanssen WGM, Chambouleyron J, Menenti M (1997) Relating crop water consumption to irrigation water supply by remote sensing. Water Resour Manag 11(6):445–465

  18. Rouse JW, Haas RH, Schell JA, Deering DW (1973) Monitoring vegetation system in great plains with ERTS. Proc 3rd ERTS-1 symp, GSFC, NASA, SP-351:48–62

  19. Sellers PJ (1985) Canopy reflectance, photosynthesis, and transpiration. Int J Remote Sens 6:1335–1372

  20. Smith M, Allen RG, Pereira LS, Camp CR, Sadler EJ, Yoder RE (1996) Revised FAO methodology for crop water requirements. Proc of the international conference on evapotranspiration and irrigation scheduling, San Antonio, Texas, USA, 3–6 Nov 1996, pp 116–123

Download references

Author information

Correspondence to Narendra Kumar Gontia.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Gontia, N.K., Tiwari, K.N. Estimation of Crop Coefficient and Evapotranspiration of Wheat (Triticum aestivum) in an Irrigation Command Using Remote Sensing and GIS. Water Resour Manage 24, 1399–1414 (2010). https://doi.org/10.1007/s11269-009-9505-3

Download citation

Keywords

  • Reference evapotranspiration (ETo)
  • Crop evapotranspiration (ETc)
  • Crop coefficient (Kc)
  • Normalized difference vegetation index (NDVI)
  • Soil adjusted vegetation index (SAVI)
  • Remote sensing
  • Geographical information system (GIS)