Articles | Volume 16, issue 10
https://doi.org/10.5194/hess-16-3517-2012
© Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License.
Research article
| 
05 Oct 2012
Research article |
| 05 Oct 2012
Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany
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Subject: Vadose Zone Hydrology | Techniques and Approaches: Remote Sensing and GIS
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Cited articles
Albergel, C., Calvet, J.-C., de Rosnay, P., Balsamo, G., Wagner, W., Hasenauer, S., Naeimi, V., Martin, E., Bazile, E., Bouyssel, F., and Mahfouf, J.-F.: Cross-evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France, Hydrol. Earth Syst. Sci., 14, 2177–2191, https://doi.org/10.5194/hess-14-2177-2010, 2010.
Albergel, C., Zakharova, E., Calvet, J.-C., Zribi, M., Pardé, M., Wigneron, J.-P., Novello, N., Kerr, Y., Mialon, A., and Fritz, N.-E.-D.: 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.
Albergel, C., de Rosnay, P., Gruhier, C., Muñoz-Sabater, J., Hasenauer, S., Isaksen, L., Kerr, Y., and Wagner, W.: Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sens. Environ., 118, 215–226, https://doi.org/10.1016/j.rse.2011.11.017, 2012.
Bach, H. and Mauser, W.: Methods and examples for remote sensing data assimilation in land surface process modeling, IEEE T. Geosci. Remote Sens., 41, 1629–1637, 2003.
Bach, H., Braun, M., Lampart, G., and Mauser, W.: Use of remote sensing for hydrological parameterisation of Alpine catchments, Hydrol. Earth Syst. Sci., 7, 862–876, https://doi.org/10.5194/hess-7-862-2003, 2003.
