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Evaluation of Spatio-Temporal Evapotranspiration Using Satellite-Based Approach and Lysimeter in the Agriculture Dominated Catchment

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Abstract

Crop coefficient (Kc) represents the actual crop growth of the crop. It plays an important role in estimating water requirements at the different growth stages of the crop. However, FAO 56 Penman–Monteith Kc method does not account for spatial heterogeneity and uncertainty for regional climatic conditions significantly. Therefore, this study aims to develop the relation between Kc and normalized difference vegetation index (NDVI) using a linear regression and back calculations. These relationships were adjusted to local conditions using information from survey data obtained during Rabi season (2014–2015). The NDVI–Kc model (r2 = 0.86) has developed using NDVI–Kc from a fine resolution Landsat 8 remote sensing data. NDVI–Kc regression equation was utilized for generating crop coefficient for different month of season. The Vegetation Index-based AET estimated was evaluated with lysimeter data for different crop growth stage across the season. The results have shown that NDVI–Kc estimated AET has been better correlated with NDVI–Kc remote sensing model. Thus, the output of this research can help to calculate actual water demand in a command area and be helpful in allocating water from less demand area toward more demand area.

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Acknowledgements

This work is carried at IIT Kharagpur at Geographic Information system (GIS) laboratory group under Professional Attachment Training (PAT). We acknowledge the Ministry of Human Resources Development and IIT Kharagpur for providing the necessary fellowship and facility during M. Tech. as well as Indian Council of Agricultural Research (ICAR), New Delhi, and ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora 263601 for providing financial support during PAT. We also acknowledge the Agricultural and Food Engineering Department, IIT Kharagpur, for providing necessary technical facilities during the course of investigation.

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Authors and Affiliations

  1. Crop Production Division, ICAR-Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora, Uttarakhand, 263601, India

    Utkarsh Kumar

  2. Department of Civil, Surveying, and Environmental Engineering, University of Newcastle, Callaghan, NSW, 2308, Australia

    Ankur Srivastava & Nikul Kumari

  3. Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, India

    Rashmi

  4. School of Water Resources, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721 302, India

    Bhabagrahi Sahoo

  5. Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721 302, India

    Chandranath Chatterjee & Narendra Singh Raghuwanshi

  6. Maulana Azad National Institute of Technology, Bhopal, India

    Narendra Singh Raghuwanshi

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  1. Utkarsh Kumar
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  2. Ankur Srivastava
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Correspondence to Ankur Srivastava.

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Kumar, U., Srivastava, A., Kumari, N. et al. Evaluation of Spatio-Temporal Evapotranspiration Using Satellite-Based Approach and Lysimeter in the Agriculture Dominated Catchment. J Indian Soc Remote Sens 49, 1939–1950 (2021). https://doi.org/10.1007/s12524-021-01367-w

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  • DOI: https://doi.org/10.1007/s12524-021-01367-w

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