SMOS Mission Extended to 2021!

Category : CATDS, Data, L1, L2, L3, L4, Non classé, Satellite

I am glad to inform you that yesterday the Program Board for Earth Observation (PB-EO) of ESA voted the SMOS mission extension following the ACEO (Advisory Committee for Earth Observation) review report:

« Member states’ delegations were very positive about both the achievements so far as well as the detailed plan being put forward for the extension. « 

CNES (the French Space Agency also funding the mission exploitation), has already granted funding until 2021 (actually 2019 with extension to 2021 pending PB-EO vote which we now have).

So, should everything go nicely with the satellite and platform, we have data guaranteed until  2021!

Congratulations and many thanks to all the actors of this success.

SMOS is now over 9 year old and still going strong by the way!

Yann

8+ years of soil moisture and ocean salinity data over the globe from SMOS

Category : CATDS, L2, L3, Ocean

This animation was prepared by Dimitry Khvorostyanov from LOCEAN with SMOS data from CATDS (Soil moisture level 3 and Ocean salinity debiased V3)

Enjoy

A new debiased Seas surface Salinity map from LOCEAN

Category : CATDS, Cal/Val, L2, Ocean

New info from Jacqueline Boutin!

A new version (version 3) of debiased SMOS SSS L3 maps generated by the
LOCEAN CATDS expertise center is available at CATDS.

This third version of Level 3 SMOS SSS corrected from systematic biases
uses an improved ‘de-biasing’ technique: with respect to version 2, the
adjustment of the long term mean SMOS SSS in very dynamical areas, like
in river plumes, and the bias correction at high latitudes have been
improved. See more information and data link HERE

These products will be presented at IGARSS next week (poster 3447).

Post-doctoral position Water extent mapping from data fusion of L-Band radiometry and radar

Category : CATDS, Data, L3, L4, position opening

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Post-doctoral position

Water extent mapping from data fusion of L-Band radiometry and radar

Location: Centre d’Etudes Spatiale de la Biosphère (CESBIO), Toulouse, France

Duration: 18 months start before November 2018

Description:

Interested in creating state of the art remote sensing products in hydrology for existing and future satellite mission, then join us ! In the framework of the future Surface Water and Ocean Topography (SWOT), a joint mission from French (CNES), American (NASA), Canadian (CSA), and British (UKSA) space agencies, CNES is developing a down-stream application service that will also integrate products from contemporary satellites. In 2008 the CNES had already developed a downstream centre (CATDS www.catds.fr) for the Soil Moisture Ocean Salinity (SMOS) mission which is providing today high level products for the mission. You will join the Microwave-SMOS group in the Observation Systems team at CESBIO. You will be under the supervision of Ahmad Al bitar (Ph.D.) who si in charge of high end (L4) products for CATDS and member of the Science Team of SWOT. You will contribute to existing collaborations with other institutions: LEGOS, GET, ECOLAB, Univ. Purpan.  You will be in charge of developing operationally ready products for the monitoring of inland water surfaces (wetlands, floodplains…) by extending the domain of application of existing algorithms and improving their resolution. These areas represent a great challenge and raise important scientific questions related to the water cycle, biodiversity and carbon cycle. Recent studies at CESBIO demonstrated the advantage of the use of L-Band for the monitoring of water surfaces under dense tropical forests. The final objective is to enrich the existing databases at global scale (CCI Water bodies, GSWO, GIEMS) and to make available a validation dataset for the future SWOT mission.

Actions:

> Adapting the retrieval algorithms for global application using L-Band brightness temperatures.
> Writing scientific papers, presenting results at conferences and project key-points.

Required Skills:

> Advanced knowledge of one programming language Matlab, Python using geospatial datasets.
> Proven writing and communication skills.
> Motivated, innovative and team-player.

Links:

https://www.researchgate.net/publication/317012733_Mapping_Dynamic_Water_Fraction_under_the_Tropical_Rain_Forests_of_the_Amazonian_Basin_from_SMOS_Brightness_Temperatures

Contact:

e-mail to : ahmad.albitar@cesbio.cnes.fr & santiago.penaluque@cnes.fr

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