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HESS | Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5889–5900, 2018
https://doi.org/10.5194/hess-22-5889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 5889–5900, 2018
https://doi.org/10.5194/hess-22-5889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Nov 2018

Research article | 14 Nov 2018

The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields

Mireia Fontanet et al.

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Manuscript not accepted for further review

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Cited articles

Albergel, C., Zakharova, E., Calvet, J.-C., Zribi, M., Pardé, M., Wigneron, J.-P., Novello, N., Kerr, Y., Mialon A., and Fritz, N.: A first assessment of the SMOS data in southwestern France using in situ and airborne soil moisture estimates: the CAROLS airborne campaign, Remote Sens. Environ., 115, 2718–2728, https://doi.org/10.1016/j.rse.2011.06.012, 2011. 
Al Bitar, A., Leroux, D., Kerr, Y. H., Member, S., Merlin, O., Richaume, P., Sahoo, A., and Wood, E. F.: Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network, IEEE T. Geosci. Remote, 50, 1572–1586, https://doi.org/10.1109/TGRS.2012.2186581, 2012. 
Atkinson, P. and Curran, P.: Choosing an appropriate spatial resolution for remote sensing investigations, Photogramm. Eng. Remote Sens., 63, 1345–1351, 1997. 
Bauer-Marschallinger, B., Freeman, V., Cao, S., Paulik, C., Schaufler, S., Stachl, T., Modanesi, S., Massari, C., Ciabatta, L., Brocca, L., and Wagner, W.: Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles, IEEE T. Geosci. Remote, 20, 1–20, https://doi.org/10.1109/TGRS.2018.2858004, 2018. 
Blonquist, J. M., Jones, S. B., and Robinson, D. A.: Precise irrigation scheduling for turfgrass using a subsurface electromagnetic soil moisture sensor, Agr. Water Manage., 84, 153–165, https://doi.org/10.1016/j.agwat.2006.01.014, 2006. 
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Short summary
One of the main objectives of remote sensing methodology is to downscale soil moisture to improve irrigation management. The DISPATCH algorithm is able to measure soil moisture at 1 km resolution using SMOS and MODIS data. In this work DISPATCH has been evaluated with soil moisture sensors, under heterogeneous conditions where local irrigation is applied. Results show that DISPATCH is not sensitive when local irrigation is applied even at low resolution.
One of the main objectives of remote sensing methodology is to downscale soil moisture to...
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