Next Article in Journal
A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories
Previous Article in Journal
Biome-Scale Forest Properties in Amazonia Based on Field and Satellite Observations
Remote Sens. 2012, 4(5), 1272-1309; doi:10.3390/rs4051272
Review

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

1,2,* , 2,3, 1,2
,
1,2
,
2,4
,
2,4
,
2,3
,
1,2
,
1
,
1
,
5
,
1,2
,
2,3
,
2,3
,
2,3
,
2,3
,
6
,
2,3
,
7
,
8
,
2,3
,
1,2
,
2,3
,
9
,
10
,
1,2
,
1
,
2,4
,
1,2
,
11
,
11
,
11
,
11
,
12
 and
12
Received: 13 March 2012 / Revised: 17 April 2012 / Accepted: 18 April 2012 / Published: 4 May 2012

Abstract

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 ad-hoc, 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.
Keywords: radiometry; interferometry; calibration; validation; imaging; radio frequency interference; ocean salinity; soil moisture; pixel disaggregation; GNSS-R; SMOS radiometry; interferometry; calibration; validation; imaging; radio frequency interference; ocean salinity; soil moisture; pixel disaggregation; GNSS-R; SMOS
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Camps, A.; Font, J.; Corbella, I.; Vall-Llossera, M.; Portabella, M.; Ballabrera-Poy, J.; González, V.; Piles, M.; Aguasca, A.; Acevo, R.; Bosch, X.; Duffo, N.; Fernández, P.; Gabarró, C.; Gourrion, J.; Guimbard, S.; Marín, A.; Martínez, J.; Monerris, A.; Mourre, B.; Pérez, F.; Rodríguez, N.; Salvador, J.; Sabia, R.; Talone, M.; Torres, F.; Pablos, M.; Turiel, A.; Valencia, E.; Martínez-Fernández, J.; Sánchez, N.; Pérez-Gutiérrez, C.; Baroncini-Turricchia, G.; Rius, A.; Ribó, S. Review of the CALIMAS Team Contributions to European Space Agency’s Soil Moisture and Ocean Salinity Mission Calibration and Validation. Remote Sens. 2012, 4, 1272-1309.

View more citation formats

Article Metrics

Comments

Citing Articles

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert