Remote Sensing (May 2012)

Review of the CALIMAS Team Contributions to European Space Agency’s Soil Moisture and Ocean Salinity Mission Calibration and Validation

  • Roberto Sabia,
  • Marco Talone,
  • Verónica González,
  • Fernando Pérez,
  • Guido Baroncini-Turricchia,
  • Antonio Turiel,
  • Antonio Rius,
  • Nilda Sánchez,
  • Carlos Pérez-Gutiérrez,
  • Enric Valencia,
  • José Martínez-Fernández,
  • Miriam Pablos,
  • Francesc Torres,
  • Nereida Rodríguez,
  • Joaquín Salvador,
  • Justino Martínez,
  • Alessandra Monerris,
  • Baptiste Mourre,
  • Anna Marín,
  • Jérôme Gourrion,
  • Sébastien Guimbard,
  • Xavier Bosch,
  • Nuria Duffo,
  • Pedro Fernández,
  • Carolina Gabarró,
  • Albert Aguasca,
  • René Acevo,
  • Mercedes Vall-Llossera,
  • Marcos Portabella,
  • Joaquim Ballabrera-Poy,
  • María Piles,
  • Ignasi Corbella,
  • Serni Ribó,
  • Adriano Camps,
  • Jordi Font

DOI
https://doi.org/10.3390/rs4051272
Journal volume & issue
Vol. 4, no. 5
pp. 1272 – 1309

Abstract

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This work summarizes the activities carried out by the SMOS (Soil Moisture and Ocean Salinity) Barcelona Expert Center (SMOS-BEC) team in conjunction with the CIALE/Universidad de Salamanca team, within the framework of the European Space Agency (ESA) CALIMAS project in preparation for the SMOS mission and during its first year of operation. Under these activities several studies were performed, ranging from Level 1 (calibration and image reconstruction) to Level 4 (land pixel disaggregation techniques, by means of data fusion with higher resolution data from optical/infrared sensors). Validation of SMOS salinity products by means of surface drifters developed <em>ad-hoc</em>, and soil moisture products over the REMEDHUS site (Zamora, Spain) are also presented. Results of other preparatory activities carried out to improve the performance of eventual SMOS follow-on missions are presented, including GNSS-R to infer the sea state correction needed for improved ocean salinity retrievals and land surface parameters. Results from CALIMAS show a satisfactory performance of the MIRAS instrument, the accuracy and efficiency of the algorithms implemented in the ground data processors, and explore the limits of spatial resolution of soil moisture products using data fusion, as well as the feasibility of GNSS-R techniques for sea state determination and soil moisture monitoring.

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