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A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration

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  • Awada, Hassan
  • Di Prima, Simone
  • Sirca, Costantino
  • Giadrossich, Filippo
  • Marras, Serena
  • Spano, Donatella
  • Pirastru, Mario

Abstract

Satellite remote sensing-based surface energy balance (SEB) techniques have emerged as useful tools for quantifying spatialized actual evapotranspiration at various temporal and spatial scales. However, discontinuous data acquisitions and/or gaps in image acquisition due to cloud cover can limit the applicability of satellite remote sensing (RS) in agriculture water management where continuous time series of daily crop actual evapotranspiration (ETc act) are more valued. The aim of the research is to construct continuous time series of daily ETc act starting from temporal estimates of actual evapotranspiration obtained by SEB modelling (ETa eb) on Landsat-TM images. SEBAL model was integrated with the FAO 56 evaporation model, RS-retrieved vegetative biomass dynamics (by NDVI) and on-field measurements of soil moisture and potential evapotranspiration. The procedure was validated by an eddy covariance tower on a vineyard with partial soil coverage in the south of Sardinia Island, Italy. The integrated modeling approach showed a good reproduction of the time series dynamics of observed ETc act (R2 =0.71, MAE=0.54 mm d-1, RMSE=0.73 mm d-1). A daily and a cumulative monthly temporal analysis showed the importance of integrating parameters that capture changes in the soil-plant-atmosphere (SPA) continuum between Landsat acquisitions. The comparison with daily ETc act obtained by the referenced ET fraction (ETrF) method that considers only weather variability (by ETo) confirmed the lead of the proposed procedure in the spring/early summer periods when vegetation biomass changes and soil water evaporation have a significant weight in the ET process. The applied modelling approach was also robust in constructing the missing ETc act data under scenarios of limited cloud-free Landsat acquisitions. The presented integrated approach has a great potential for the near real time monitoring and scheduling of irrigation practices. Further testing of this approach with diverse dataset and the integration with the soil water modeling is to be analyzed in future work.

Suggested Citation

  • Awada, Hassan & Di Prima, Simone & Sirca, Costantino & Giadrossich, Filippo & Marras, Serena & Spano, Donatella & Pirastru, Mario, 2022. "A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration," Agricultural Water Management, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:agiwat:v:260:y:2022:i:c:s0378377421005977
    DOI: 10.1016/j.agwat.2021.107320
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    1. Al Zayed, Islam Sabry & Elagib, Nadir Ahmed & Ribbe, Lars & Heinrich, Jürgen, 2015. "Spatio-temporal performance of large-scale Gezira Irrigation Scheme, Sudan," Agricultural Systems, Elsevier, vol. 133(C), pages 131-142.
    2. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    3. Er-Raki, S. & Rodriguez, J.C. & Garatuza-Payan, J. & Watts, C.J. & Chehbouni, A., 2013. "Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index," Agricultural Water Management, Elsevier, vol. 122(C), pages 12-19.
    4. Consoli, S. & Vanella, D., 2014. "Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model," Agricultural Water Management, Elsevier, vol. 143(C), pages 71-81.
    5. Minacapilli, M. & Cammalleri, C. & Ciraolo, G. & Rallo, G. & Provenzano, G., 2016. "Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves," Agricultural Water Management, Elsevier, vol. 170(C), pages 49-60.
    6. Häusler, Melanie & Conceição, Nuno & Tezza, Luca & Sánchez, Juan M. & Campagnolo, Manuel L. & Häusler, Andreas J. & Silva, João M.N. & Warneke, Thorsten & Heygster, Georg & Ferreira, M. Isabel, 2018. "Estimation and partitioning of actual daily evapotranspiration at an intensive olive grove using the STSEB model based on remote sensing," Agricultural Water Management, Elsevier, vol. 201(C), pages 188-198.
    7. Masia, Sara & Trabucco, Antonio & Spano, Donatella & Snyder, Richard L. & Sušnik, Janez & Marras, Serena, 2021. "A modelling platform for climate change impact on local and regional crop water requirements," Agricultural Water Management, Elsevier, vol. 255(C).
    8. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    9. Akbari, Mehdi & Toomanian, Norair & Droogers, Peter & Bastiaanssen, Wim & Gieske, Ambro, 2007. "Monitoring irrigation performance in Esfahan, Iran, using NOAA satellite imagery," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 99-109, March.
    10. Zwart, Sander J. & Bastiaanssen, Wim G.M., 2007. "SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems," Agricultural Water Management, Elsevier, vol. 89(3), pages 287-296, May.
    11. Droogers, P. & Bastiaanssen, W. G. M. & Beyazgul, M. & Kayam, Y. & Kite, G. W. & Murray-Rust, H., 2000. "Distributed agro-hydrological modeling of an irrigation system in western Turkey," Agricultural Water Management, Elsevier, vol. 43(2), pages 183-202, March.
    12. L. Muthuwatta & Mobin-ud-Din Ahmad & M. Bos & T. Rientjes, 2010. "Assessment of Water Availability and Consumption in the Karkheh River Basin, Iran—Using Remote Sensing and Geo-statistics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 459-484, February.
    13. Mobin-ud Ahmad & Mac Kirby & Mohammad Islam & Md. Hossain & Md. Islam, 2014. "Groundwater Use for Irrigation and its Productivity: Status and Opportunities for Crop Intensification for Food Security in Bangladesh," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1415-1429, March.
    14. Campos, Isidro & Neale, Christopher M.U. & Calera, Alfonso & Balbontín, Claudio & González-Piqueras, Jose, 2010. "Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)," Agricultural Water Management, Elsevier, vol. 98(1), pages 45-54, December.
    15. Matthew Rodell & Isabella Velicogna & James S. Famiglietti, 2009. "Satellite-based estimates of groundwater depletion in India," Nature, Nature, vol. 460(7258), pages 999-1002, August.
    16. Rallo, Giovanni & Provenzano, Giuseppe, 2013. "Modelling eco-physiological response of table olive trees (Olea europaea L.) to soil water deficit conditions," Agricultural Water Management, Elsevier, vol. 120(C), pages 79-88.
    17. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "A global benchmark map of water productivity for rainfed and irrigated wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1617-1627, October.
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