Articles | Volume 30, issue 11
https://doi.org/10.5194/hess-30-3675-2026
https://doi.org/10.5194/hess-30-3675-2026
Research article
 | 
16 Jun 2026
Research article |  | 16 Jun 2026

Satellite Data Rendered Irrigation using Penman–Monteith and SEBAL – sDRIPS for Surface Water Irrigation Optimization

Shahzaib Khan, Faisal Hossain, Khairul Islam, and Mahfuz Ahamed

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Cited articles

Abatzoglou, J. T.: Development of gridded surface meteorological data for ecological applications and modelling, Int. J. Climatol., 33, 121–131, https://doi.org/10.1002/joc.3413, 2013. 
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper No. 56, Food and Agriculture Organization of the United Nations, Rome, Italy, ISBN 92-5-104219-5, 1998. 
Allen, R. G., Tasumi, M., and Trezza, R.: Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC) – Model, J. Irrig. Drain. Eng., 133, 380–394, https://doi.org/10.1061/(ASCE)0733-9437(2007)133:4(380), 2007. 
Arias, M., Notarnicola, C., Campo-Bescós, M. Á., Arregui, L. M., and Álvarez-Mozos, J.: Evaluation of soil moisture estimation techniques based on Sentinel-1 observations over wheat fields, Agr. Water Manage., 287, 108422, https://doi.org/10.1016/j.agwat.2023.108422, 2023. 
Baldwin, D., Manfreda, S., Keller, K., and Smithwick, E. A. H.: Predicting root zone soil moisture with soil properties and satellite near-surface moisture data across the conterminous United States, J. Hydrol., 546, 393–404, https://doi.org/10.1016/j.jhydrol.2017.01.020, 2017. 
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Short summary
We developed a satellite-based irrigation advisory system that operates weekly, helping water providers make informed, science-based decisions. It estimates crop water needs using satellite data combined with rainfall and past irrigation and can also be used to simulate future cropping patterns under policy changes or reduced water supply. Co-developed with stakeholders, it is scalable to other regions with similar water management challenges.
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