Articles | Volume 17, issue 7
Hydrol. Earth Syst. Sci., 17, 2543–2556, 2013
https://doi.org/10.5194/hess-17-2543-2013
Hydrol. Earth Syst. Sci., 17, 2543–2556, 2013
https://doi.org/10.5194/hess-17-2543-2013
Research article
09 Jul 2013
Research article | 09 Jul 2013

Improving soil moisture profile reconstruction from ground-penetrating radar data: a maximum likelihood ensemble filter approach

A. P. Tran et al.

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Cited articles

Crow, W. T., Kustas, W. P., and Prueger, J. H.: Monitoring root-zone soil moisture through the assimilation of a thermal remote sensing-based soil moisture proxy into a water balance model, Remote Sens. Environ., 112, 1268–1281, 2008.
Dagenbach, A., Buchner, J. S., Klenk, P., and Roth, K.: Identifying a parameterisation of the soil water retention curve from on-ground GPR measurements, Hydrol. Earth Syst. Sci., 17, 611–618, https://doi.org/10.5194/hess-17-611-2013, 2013.
Das, N. N. and Mohanty, B. P.: Root zone soil moisture assessment using remote sensing and vadose zone modeling, Vadose Zone J., 5, 296–307, 2006.
Das, N. N., Mohanty, B. P., Cosh, M. H., and Jackson, T. J.: Modeling and assimilation of root zone soil moisture using remote sensing observations in Walnut Gulch Watershed during SMEX04, Remote Sens. Environ., 112, 415–429, 2008.
De Lannoy, G. J. M., Houser, P. R., Pauwels, V. R. N., and Verhoest, N. E. C.: State and bias estimation for soil moisture profiles by an ensemble Kalman filter: effect of assimilation depth and frequency, Water Resour. Res., 43, W06401, https://doi.org/10.1029/2006WR005100, 2007.
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