Aggregation and disaggregation of synthetic L-band soil moisture data over South-western France in preparation of SMOS

Christoph Rüdiger, Jean Christophe Calvet, Aurore Brut, Jean Pierre Wigneron, Beatrice Berthelot, André Chanzy, Sylvain Cros, Michael Berger

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

For the preparation of the Soil Moisture and Ocean Salinity (SMOS) mission, due for launch in 2008, a synthetic study for the aggregation and disaggregation of L-band brightness temperature fields is currently being undertaken for a 5-year period (2000-2005) over south-western France. The observed soil moisture is derived from offline simulations obtained from the Météo-France land surface model ISBA-A-gs. The radiative transfer model L-MEB is used to estimate the corresponding brightness temperature at 8km resolution, with a large number of possible incidence angles for each time step. Aggregation of the distributed information is then undertaken by simulating overpasses of SMOS over the region. Finally, the disaggregation method is an extension of the approach presented by Merlin et al. (2005).

Original languageEnglish
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Pages1853-1856
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: 23 Jun 200728 Jun 2007

Conference

Conference2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
CountrySpain
CityBarcelona
Period23/06/0728/06/07

Keywords

  • Brightness temperature
  • SMOS
  • Spatial resolution

Cite this

Rüdiger, C., Calvet, J. C., Brut, A., Wigneron, J. P., Berthelot, B., Chanzy, A., Cros, S., & Berger, M. (2007). Aggregation and disaggregation of synthetic L-band soil moisture data over South-western France in preparation of SMOS. In 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (pp. 1853-1856). [4423184] https://doi.org/10.1109/IGARSS.2007.4423184