Estimation of water requirement of wheat using multispectral vegetation indices

Authors

  • A.R. PIMPALE Department of Irrigation and Drainage Engineering, Dr. PDKV, Akola-444104
  • P.B. RAJANKAR Maharashtra Remote Sensing Application Centre, Nagpur-440011
  • S.B. WADATKAR Department of Irrigation and Drainage Engineering, Dr. PDKV, Akola-444104
  • S.S. WANJARI Department of Irrigation and Drainage Engineering, Dr. PDKV, Akola-444104
  • I.K. RAMTEKE Maharashtra Remote Sensing Application Centre, Nagpur-440011

DOI:

https://doi.org/10.54386/jam.v17i2.1008

Keywords:

Wheat, vegetation indices, evapotranspiration,, water requirement, AWiFS, Maharashtra

Abstract

Estimation of crop coefficient (Kc) and crop evapotranspiration (ETc) using remote sensing data is essential for planning irrigation water use in arid and semiarid regions. The study was conducted to test the suitability of remotely sensed Vegetation Indices (VIs) for modeling spatial crop coefficient, choosing most appropriate vegetation index among them for modeling and applying this model to
estimate water requirement of wheat. The study area consisted of wheat growing five districts situated in central Maharashtra. Images of IRS-P6, AWiFS sensor were used to generate multi temporal vegetation indices RVI, NDVI, TNDVI, SAVI and MSAVI2. The week-wise VIs were correlated with week-wise recommended wheat crop coefficients which resulted in linear relationships/models. Simple linear
regression analysis showed NDVI as a superior index for predicting crop coefficients of wheat. NDVI-Kc model showed highest R² and D values of 0.895 and 0.980 respectively with lowest values of SE, RMSE and PD of 0.120, 0.113 and 4.64 respectively. The crop coefficients (Kc), obtained by this NDVI-Kc model and reference evapotranspiration (ETo), estimated by Penman- Monteith equation, were used to compute wheat crop evapotranspiration (ETc) which represents the water requirement of wheat and found varying from 378.34 mm to 439.10 mm in the study area. 

Downloads

Published

01-12-2015

How to Cite

A.R. PIMPALE, P.B. RAJANKAR, S.B. WADATKAR, S.S. WANJARI, & I.K. RAMTEKE. (2015). Estimation of water requirement of wheat using multispectral vegetation indices. Journal of Agrometeorology, 17(2), 208–212. https://doi.org/10.54386/jam.v17i2.1008

Issue

Vol. 17 No. 2 (2015): December

Section

Research Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

    Most read articles by the same author(s)