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Modelling of evapotranspiration using land surface energy balance and thermal infrared remote sensing

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Abstract

Accurate estimation of crop evapotranspiration (ET) is a key factor in crop water scheduling. The objective of this study was to estimate ET from the high-resolution satellite remote sensing data with integration of in situ observation. The surface energy balance model, Mapping Evapotranspiration with Internalized Calibration (METRIC) was utilised in this study for its simplicity, advantages, and effectiveness. It is a one-source model, which calculates the net radiation, soil heat flux, and sensible heat flux at every pixel level, and estimates the latent heat flux as the residual term in that energy budget equation. Intermediate steps like calculation of NDVI, surface temperature, and albedo served as important input parameters for ET estimate. Landat-8 satellite images were used to compute the ET in paddy field near CRRI, Cuttack, Odisha state in eastern India. Results indicated that the METRIC algorithm provided reasonably good ET over the study area with marginal overestimation in comparison to field observation by eddy covariance data. The satellite-based ET estimates represented in spatial scale has potential in improving irrigation scheduling and precise water resource management at local scales.

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Acknowledgements

The study has been conducted as part of M.Tech. degree at IIT Kharagpur; and RPS thanks MHRD for the fellowship. The support received from SAC (ISRO) authority for this study is thankfully acknowledged.

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Authors and Affiliations

  1. Centre for Oceans, Rivers, Atmosphere, and Land Sciences, IIT Kharagpur, Kharagpur, India

    R. P. Singh, S. Paramanik & Mukunda D. Behera

  2. Space Application Centre, ISRO, Ahmedabad, Gujarat, India

    B. K. Bhattacharya

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  1. R. P. Singh
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  2. S. Paramanik
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  3. B. K. Bhattacharya
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  4. Mukunda D. Behera
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Correspondence to Mukunda D. Behera.

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Singh, R.P., Paramanik, S., Bhattacharya, B.K. et al. Modelling of evapotranspiration using land surface energy balance and thermal infrared remote sensing. Trop Ecol 61, 42–50 (2020). https://doi.org/10.1007/s42965-020-00076-8

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  • DOI: https://doi.org/10.1007/s42965-020-00076-8

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