Articles | Volume 28, issue 3
Research article
 | Highlight paper
06 Feb 2024
Research article | Highlight paper |  | 06 Feb 2024

An inter-comparison of approaches and frameworks to quantify irrigation from satellite data

Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, Christian Massari, Luca Brocca, Rasmus Fensholt, Simon Stisen, and Julian Koch

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Cited articles

Abolafia-Rosenzweig, R., Livneh, B., Small, E. E., and Kumar, S. V.: Soil Moisture Data Assimilation to Estimate Irrigation Water Use, J. Adv. Model. Earth Sy., 11, 3670–3690,, 2019. 
Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323–1337,, 2008. 
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration: Guidelines for Computing Crop Requirements, Irrigation and Drainage Paper, FAO, Rome, Italy, ISBN 92-5104219-5, 1998. 
Araki, R., Branger, F., Wiekenkamp, I., and McMillan, H.: A signature-based approach to quantify soil moisture dynamics under contrasting land-uses, Hydrol. Process., 36, 21,, 2022. 
Asadzadeh, M. and Tolson, B. A.: A new multi-objective algorithm, pareto archived DDS, Association for Computing Machinery New York, NY, USA, 1963–1966,, 2009. 
Executive editor
Freshwater is a precious commodity for mankind, and irrigation is one of the largest component of freshwater usage by mankind. Many uncertainties exist in determining the amount of freshwater usage for irrigation. This manuscript discusses various ways to quantify irrigation and application of remote sensing to assess irrigation fluxes. With future, high-resolution remote sensing platforms becoming available, this work will be helpful to develop application pertaining to irrigation quantification especially is drought affected and semi-arid regions of the world.
Short summary
This study provides a comparison of methodologies to quantify irrigation to enhance regional irrigation estimates. To evaluate the methodologies, we compared various approaches to quantify irrigation using soil moisture, evapotranspiration, or both within a novel baseline framework, together with irrigation estimates from other studies. We show that the synergy from using two equally important components in a joint approach within a baseline framework yields better irrigation estimates.