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Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm

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  • Dari, Jacopo
  • Quintana-Seguí, Pere
  • Morbidelli, Renato
  • Saltalippi, Carla
  • Flammini, Alessia
  • Giugliarelli, Elena
  • Escorihuela, María José
  • Stefan, Vivien
  • Brocca, Luca

Abstract

Irrigation is the most impacting and uncertain human intervention on the water resource. The possibility of retrieving information on irrigation practices through remote sensing technology opens unprecedented perspectives on the monitoring of anthropized basins. This study is aimed at assessing the impact of different approaches to model the contribution of the evapotranspiration in retrieving the amounts of water applied for irrigation through a soil-moisture-based (SM-based) inversion algorithm; such a contribution is conclusive especially over semi-arid regions. Three modeling approaches relying on both calculated and remotely sensed actual and potential evapotranspiration (ET and PET) data sets were implemented to represent the evapotranspiration rate within the SM-based inversion method, which allows backward estimation of irrigation through the soil water balance inversion. By combining the different evapotranspiration data sources and modeling approaches, seven experiments aimed at inverting DISPATCH (DISaggregation based on Physical And Theoretical scale CHange) downscaled SMAP (Soil Moisture Active Passive) soil moisture at 1 km to estimate irrigation over four heavily irrigated agricultural districts located in Spain (Aragon and Catalonia) were compared. The results highlighted that the application of the FAO56 guidelines parametrization relying on the use of optical data as proposed by the authors in a previous study remains the most reliable configuration. In fact, the implementation of a simplified approach not considering the transpiration component of the specific crop led to irrigation underestimates. Finally, it is interesting to note that the application of the method with remotely sensed ET from MODIS (MODerate-resolution Imaging Spectroradiometer) produced reliable district-aggregated irrigation estimates, thus opening the perspective of an algorithm configuration forced with remote sensing data only.

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  • Dari, Jacopo & Quintana-Seguí, Pere & Morbidelli, Renato & Saltalippi, Carla & Flammini, Alessia & Giugliarelli, Elena & Escorihuela, María José & Stefan, Vivien & Brocca, Luca, 2022. "Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm," Agricultural Water Management, Elsevier, vol. 265(C).
    • Handle: RePEc:eee:agiwat:v:265:y:2022:i:c:s0378377422000841
    DOI: 10.1016/j.agwat.2022.107537
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    References listed on IDEAS

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    1. C.-Y. Xu & V. Singh, 2002. "Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(3), pages 197-219, June.
    2. Tomislav Hengl & Jorge Mendes de Jesus & Gerard B M Heuvelink & Maria Ruiperez Gonzalez & Milan Kilibarda & Aleksandar Blagotić & Wei Shangguan & Marvin N Wright & Xiaoyuan Geng & Bernhard Bauer-Marsc, 2017. "SoilGrids250m: Global gridded soil information based on machine learning," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-40, February.
    3. Jonathan A. Foley & Navin Ramankutty & Kate A. Brauman & Emily S. Cassidy & James S. Gerber & Matt Johnston & Nathaniel D. Mueller & Christine O’Connell & Deepak K. Ray & Paul C. West & Christian Balz, 2011. "Solutions for a cultivated planet," Nature, Nature, vol. 478(7369), pages 337-342, October.
    4. Gavilan, P. & Lorite, I.J. & Tornero, S. & Berengena, J., 2006. "Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment," Agricultural Water Management, Elsevier, vol. 81(3), pages 257-281, March.
    5. Er-Raki, S. & Chehbouni, A. & Guemouria, N. & Duchemin, B. & Ezzahar, J. & Hadria, R., 2007. "Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region," Agricultural Water Management, Elsevier, vol. 87(1), pages 41-54, January.
    6. Lian, Jinjiao & Huang, Mingbin, 2016. "Comparison of three remote sensing based models to estimate evapotranspiration in an oasis-desert region," Agricultural Water Management, Elsevier, vol. 165(C), pages 153-162.
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    1. Olivera-Guerra, Luis-Enrique & Laluet, Pierre & Altés, Víctor & Ollivier, Chloé & Pageot, Yann & Paolini, Giovanni & Chavanon, Eric & Rivalland, Vincent & Boulet, Gilles & Villar, Josep-Maria & Merlin, 2023. "Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method," Agricultural Water Management, Elsevier, vol. 278(C).

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