Nemesio Rodriguez F

@NemesioRF

Nemesio Rodriguez-Fernandez, Remote sensing data scientist

Vrijeme pridruživanja: prosinac 2011.

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  1. proslijedio/la je Tweet
    16. sij

    Nouveau Stage Master2/Ingenieur au : Adaptation d’un modèle de bilan hydrique basé sur la télédétection spatiale pour l’irrigation de la vigne

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  2. 14. sij

    Very proud to be invited to present our work at the meeting

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  3. 6. pro 2019.

    Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO2, Soil Moisture, and Vegetation Optical Depth

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    An project has merged data from 3 satellite missions, including , to generate the most complete global sea-surface salinity maps ever produced from space. The timeseries spans 9 years with maps produced every week and every month. Details:

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    29. stu 2019.

    First paper published by our PhD student !! You wonder about to what extent soil moisture and vegetation density information can be extracted from radar backscatter in a data assimilation context? Have a look 👇

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    25. stu 2019.

    New paper : First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields

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    26. stu 2019.

    New paper from on SMOS brightness temperature forward modelling and long term monitoring at

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    22. stu 2019.

    Congratulations to / scientist and PI Yann Kerr, ranked as “highly cited researcher” by

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    19. stu 2019.

    Remote sensing of sea surface salinity: what can we learn from 10 years of satellite measurements? Post-doc opening at the Locean laboratory in Jaqueline Boutin's group

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  10. proslijedio/la je Tweet
    25. lis 2019.

    Our latest manuscript is out for discussion in HESSD: Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces

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  11. proslijedio/la je Tweet
    31. lis 2019.

    , an Earth Explorer, is 10 years in orbit ! Very impressive science on soil moisture and ocean salinity thanks to this novel mission concept. The whole science and space community is very happy to celebrate this anniversary 🍸

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    15. lis 2019.

    Great to see the dataset being used so quickly. And nice to see the high correlations.

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  13. proslijedio/la je Tweet
    14. lis 2019.

    Out today: the new CCI version 4.5 product provides global data to the end of 2018. Funded by ; generated by , , , and . Data access 👉 Soil moisture anomalies in 2018 👇

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    14. lis 2019.
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  15. proslijedio/la je Tweet
    8. lis 2019.

    7 papers published so far in our special issue on Data Assimilation of Satellite-Based Observations into Land Surface Models. It is still time to submit your manuscripts!

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  16. proslijedio/la je Tweet
    8. lis 2019.

    Deep learning appliqué à la synthèse d’ouverture. Stage CNES dans le groupe du avec et Eric Anterrieu

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  17. proslijedio/la je Tweet
    15. kol 2019.

    BAMS state of the climate in 2018 published this week includes CCI soil moisture data. Thank you to all who contributed including , and . Check it out under the 'global climate' section 👉

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  18. proslijedio/la je Tweet
    18. kol 2019.

    If it is public money, it should be public code as well! I support 's call for more :

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  19. proslijedio/la je Tweet
    21. kol 2019.

    Toulouse University once again in 5th position for Remote Sensing in 2019 , in particular thanks to the and companion laboratories

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  20. proslijedio/la je Tweet
    13. kol 2019.

    We are looking to fill a PhD position in engineering geodesy

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