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Remote Sens. 2014, 6(11), 11182-11203; doi:10.3390/rs61111182

A Life-Size and Near Real-Time Test of Irrigation Scheduling with a Sentinel-2 Like Time Series (SPOT4-Take5) in Morocco

1
CESBIO, Unité Mixte de Recherche (CNRS, UPS, CNES, IRD), Toulouse 31000, France
2
LMME, Faculté des Sciences Semlalia, Université Cadi Ayyad de Marrakech, Marrakech 40000, Morocco
3
LP2M2E, Faculté des Sciences et Techniques, Université Cadi Ayyad de Marrakech, Marrakech 40000, Morocco
4
ORMVAH, Office Régional de Mise en Valeur Agricole du Haouz, Marrakech 40000, Morocco
Those authors are also members of the LMI TREMA laboratory.
*
Author to whom correspondence should be addressed.
Received: 16 July 2014 / Revised: 15 September 2014 / Accepted: 29 October 2014 / Published: 11 November 2014
(This article belongs to the Special Issue Earth Observation for Water Resource Management in Africa)
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Abstract

This paper describes the setting and results of a real-time experiment of irrigation scheduling by a time series of optical satellite images under real conditions, which was carried out on durum wheat in the Haouz plain (Marrakech, Morocco), during the 2012/13 agricultural season. For the purpose of this experiment, the irrigation of a reference plot was driven by the farmer according to, mainly empirical, irrigation scheduling while test plot irrigations were being managed following the FAO-56 method, driven by remote sensing. Images were issued from the SPOT4 (Take5) data set, which aimed at delivering image time series at a decametric resolution with less than five-day satellite overpass similar to the time series ESA Sentinel-2 satellites will produce in the coming years. With a Root Mean Square Error (RMSE) of 0.91mm per day, the comparison between daily actual evapotranspiration measured by eddy-covariance and the simulated one is satisfactory, but even better at a five-day integration (0.59mm per day). Finally, despite a chaotic beginning of the experiment—the experimental plot had not been irrigated to get rid of a slaking crust, which prevented good emergence—our plot caught up and yielded almost the same grain crop with 14% less irrigation water. This experiment opens up interesting opportunities for operational scheduling of flooding irrigation sectors that dominate in the semi-arid Mediterranean area. View Full-Text
Keywords: irrigation; scheduling; remote sensing; winter wheat; near real-time; evapotranspiration; semi-arid areas; Sentinel-2; SPOT4 (Take5) irrigation; scheduling; remote sensing; winter wheat; near real-time; evapotranspiration; semi-arid areas; Sentinel-2; SPOT4 (Take5)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Le Page, M.; Toumi, J.; Khabba, S.; Hagolle, O.; Tavernier, A.; Kharrou, M.H.; Er-Raki, S.; Huc, M.; Kasbani, M.; Moutamanni, A.E.; Yousfi, M.; Jarlan, L. A Life-Size and Near Real-Time Test of Irrigation Scheduling with a Sentinel-2 Like Time Series (SPOT4-Take5) in Morocco. Remote Sens. 2014, 6, 11182-11203.

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