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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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Subject: Vadose Zone Hydrology | Techniques and Approaches: Instruments and observation techniques
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Cited articles  
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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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