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A Life-Size and Near Real-Time Test of Irrigation Scheduling with a Sentinel-2 Like Time Series (SPOT4-Take5) in Morocco
- Source :
- Remote Sensing, Vol 6, Iss 11, Pp 11182-11203 (2014), Remote Sensing; Volume 6; Issue 11; Pages: 11182-11203
- Publication Year :
- 2014
- Publisher :
- MDPI AG, 2014.
-
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.
- Subjects :
- Irrigation
irrigation
scheduling
remote sensing
winter wheat
near real-time
evapotranspiration
semi-arid areas
Sentinel-2
SPOT4 (Take5)
Test plot
Science
Winter wheat
Scheduling (production processes)
Irrigation scheduling
Evapotranspiration
General Earth and Planetary Sciences
Environmental science
Remote sensing
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....d9b63d9724410b3b5487f267434cde7a