COMPARATIVE PERFORMANCE OF DIFFERENT MULTISPECTRAL VEGETATION INDICES FOR DETERMINATION OF CROP COEFFICIENTS OF RABI SORGHUM

A.R. PIMPALE1*, S.B. WADATKAR2, R.A. PIMPALE3, P.B. RAJANKAR4, I.K. RAMTEKE5
1Department 1Section of Agricultural Engineering, College of Agriculture, Nagpur, 440001, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104, India
2Department of Irrigation and Drainage Engineering, College of Agricultural Engineering and Technology, Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104
3Priyadarshini Bhagwati Engineering College, Nagpur, 440022, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, 440033, Maharashtra
4Maharashtra Remote Sensing Applications Centre, Nagpur, 440010, India
5Maharashtra Remote Sensing Applications Centre, Nagpur, 440010, India
* Corresponding Author : arpimpale@gmail.com

Received : 16-03-2019     Accepted : 28-03-2019     Published : 30-03-2019
Volume : 11     Issue : 6       Pages : 8164 - 8167
Int J Agr Sci 11.6 (2019):8164-8167

Keywords : rabi sorghum, Multidate AWiFS satellite images
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Maharashtra Remote Sensing Applications Centre, Nagpur, 440010 for study of remote sensing works of this research at MRSAC. Authors are also thankful to Dr Panjabrao Deshmukh Krishi Vidyapeeth, Akola, 444 104
Author Contribution : All authors equally contributed

Cite - MLA : PIMPALE, A.R., et al "COMPARATIVE PERFORMANCE OF DIFFERENT MULTISPECTRAL VEGETATION INDICES FOR DETERMINATION OF CROP COEFFICIENTS OF RABI SORGHUM." International Journal of Agriculture Sciences 11.6 (2019):8164-8167.

Cite - APA : PIMPALE, A.R., WADATKAR, S.B., PIMPALE, R.A., RAJANKAR, P.B., RAMTEKE, I.K. (2019). COMPARATIVE PERFORMANCE OF DIFFERENT MULTISPECTRAL VEGETATION INDICES FOR DETERMINATION OF CROP COEFFICIENTS OF RABI SORGHUM. International Journal of Agriculture Sciences, 11 (6), 8164-8167.

Cite - Chicago : PIMPALE, A.R., S.B. WADATKAR, R.A. PIMPALE, P.B. RAJANKAR, and I.K. RAMTEKE. "COMPARATIVE PERFORMANCE OF DIFFERENT MULTISPECTRAL VEGETATION INDICES FOR DETERMINATION OF CROP COEFFICIENTS OF RABI SORGHUM." International Journal of Agriculture Sciences 11, no. 6 (2019):8164-8167.

Copyright : © 2019, A.R. PIMPALE, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

For achieving higher water use efficiencies, it is desirable to use each drop of water meticulously. Therefore, precise water management is need of present day. Standard procedure for determination of evapotranspiration of crops has been suggested by FAO 56 publication. Accordingly, irrigation water must be managed. This procedure involves the product of crop coefficients and reference evapotranspiration. These crop coefficients are suggested for standard agronomical conditions. But these may vary according to varying conditions and hence correction factor must be applied. Many research workers have found similarity between the pattern of crop coefficients and multispectral vegetation indices. Therefore, this research work was carried out regarding remote sensing approach for getting quick and accurate estimates of crop coefficients of rabi sorghum in rabi sorghum growing five districts of Maharashtra. Multidate AWiFS satellite images of the crop growing season were used for extracting the commonly used vegetation indices viz. RVI, NDVI, TNDVI, SAVI and MSAVI2. Ground truth work was also carried out. Profiles of all the five vegetation indices of rabi sorghum were studied in detail and compared with profiles of crop coefficients of rabi sorghum recommended by MPKV Rahuri. The linear regression was performed between the values of vegetation indices and related crop coefficients. It was found that the vegetation index MSAVI2 have shown comparatively good relationship with crop coefficient of rabi sorghum. It is concluded that multispectral vegetation index MSAVI2 can be used as surrogate of crop coefficient of rabi sorghum.

References

1. Allen R.G., Pereira L.S., Raes D. and Smith M. (1998) FAO Irrigation and Drainage paper 56. Food and Agriculture Organization of the United Nations, Rome, Italy.
2. Allen R.G., Pereira L.S., Raes D., Smith M. and Wright J.L. (2005) J. Irrig. Drain. Eng.,13,1, 2-13.
3. Doorenbos. and Pruitt W.O. (1977) Irrigation and Drainage No. 24, (rev.) FAO, Rome, Italy, pp. 144.
4. Santos C., Lorite I.J., Tasumi M., Allen R.G. and Fereres E. (2007) J. Irri. Sci., 3, 277-288.
5. Jordan C.F. (1969) Ecology, 50, 663-666.
6. Rouse J.W., Haas R.H., Schell J.A. and Deering D.W. (1973) Third ERTS Symposium, NASA SP-351 I, 309-317.
7. Tucker C.J. (1979) Remote Sens. Environ., 8,127-150.
8. Huete A.R. (1988) A soil adjusted vegetation index (SAVI). J. Remote Sens. Environ., 25, 295-309.
9. Qi J., Chehbouni A., Huete A.R., Kerr Y.H. and Sorooshian S. (1994). Remote Sens. Environ.,48, 119-126.
10. Vanderlip R.L. (1993) Contribution No. 1203, Agronomy Department, Kansas Agricultural Experiment Station, Kansas State University, Manhattan, 66506,1-19.
11. Mandal U.K., Victor U.S., Srivastava N.N., Sharma K.L., Ramesh V, Vanaja M., Korwar G.R. and Ramakrishna Y.S. (2007) Agric. Water Manage., 87, 315-327.
12. Singh S.K. Dutta S. and Dharaiya N. (2013) International Journal of Environmental Engineering and Management, 4(5), 523-528.
13. Kamble B., Irmak A. and Hubbard K. (2013) Remote Sens.,5, 1588-1602.
14. MPKV, Rahuri (2013) Krishi Darshani-2013. Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharashtra, pp. 9.