Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-441-2024
https://doi.org/10.5194/hess-28-441-2024
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

Related authors

The precision of satellite-based net irrigation quantification in the Indus and Ganges basins
Søren J. Kragh, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 27, 2463–2478, https://doi.org/10.5194/hess-27-2463-2023,https://doi.org/10.5194/hess-27-2463-2023, 2023
Short summary
Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale
Rena Meyer, Wenmin Zhang, Søren Julsgaard Kragh, Mie Andreasen, Karsten Høgh Jensen, Rasmus Fensholt, Simon Stisen, and Majken C. Looms
Hydrol. Earth Syst. Sci., 26, 3337–3357, https://doi.org/10.5194/hess-26-3337-2022,https://doi.org/10.5194/hess-26-3337-2022, 2022
Short summary

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
The development of an operational system for estimating irrigation water use reveals socio-political dynamics in Ukraine
Jacopo Dari, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 28, 2651–2659, https://doi.org/10.5194/hess-28-2651-2024,https://doi.org/10.5194/hess-28-2651-2024, 2024
Short summary
The Wetland Intrinsic Potential tool: mapping wetland intrinsic potential through machine learning of multi-scale remote sensing proxies of wetland indicators
Meghan Halabisky, Dan Miller, Anthony J. Stewart, Amy Yahnke, Daniel Lorigan, Tate Brasel, and Ludmila Monika Moskal
Hydrol. Earth Syst. Sci., 27, 3687–3699, https://doi.org/10.5194/hess-27-3687-2023,https://doi.org/10.5194/hess-27-3687-2023, 2023
Short summary
Technical note: NASAaccess – a tool for access, reformatting, and visualization of remotely sensed earth observation and climate data
Ibrahim Nourein Mohammed, Elkin Giovanni Romero Bustamante, John Dennis Bolten, and Everett James Nelson
Hydrol. Earth Syst. Sci., 27, 3621–3642, https://doi.org/10.5194/hess-27-3621-2023,https://doi.org/10.5194/hess-27-3621-2023, 2023
Short summary
Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands
Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
Hydrol. Earth Syst. Sci., 26, 4537–4552, https://doi.org/10.5194/hess-26-4537-2022,https://doi.org/10.5194/hess-26-4537-2022, 2022
Short summary
A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique
Abebe D. Chukalla, Marloes L. Mul, Pieter van der Zaag, Gerardo van Halsema, Evaristo Mubaya, Esperança Muchanga, Nadja den Besten, and Poolad Karimi
Hydrol. Earth Syst. Sci., 26, 2759–2778, https://doi.org/10.5194/hess-26-2759-2022,https://doi.org/10.5194/hess-26-2759-2022, 2022
Short summary

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, https://doi.org/10.1029/2019MS001797, 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, https://doi.org/10.5194/hess-12-1323-2008, 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, https://doi.org/10.1002/hyp.14553, 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, https://doi.org/10.1145/1570256, 2009. 
Download
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.