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Featured researches published by Adrien Martin.


IEEE Transactions on Geoscience and Remote Sensing | 2012

Remote Sensing of Sea Surface Salinity From CAROLS L-Band Radiometer in the Gulf of Biscay

Adrien Martin; Jacqueline Boutin; Danièle Hauser; Gilles Reverdin; Mickaël Pardé; Mehrez Zribi; Pascal Fanise; Jerome Chanut; Pascal Lazure; Joseph Tenerelli; Nicolas Reul

A renewal of interest for the radiometric L-band Sea Surface Salinity (SSS) remote sensing appeared in the 1990s and led to the Soil Moisture and Ocean Salinity (SMOS) satellite launched in November 2009 and to the Aquarius mission (launched in June 2011). However, due to low signal to noise ratio, retrieving SSS from L-band radiometry is very challenging. In order to validate and improve L-band radiative transfer model and salinity retrieval method used in SMOS data processing, the Cooperative Airborne Radiometer for Ocean and Land Studies (CAROLS) was developed. We analyze here a coastal flight (20 May 2009), in the Gulf of Biscay, characterized by strong SSS gradients (28 to 35 pss-78). Extensive in-situ measurements were gathered along the plane track. Brightness temperature (Tb) integrated over 800 ms correlates well with simulated Tb (correlation coefficients between 0.80 and 0.96; standard deviations of the difference of 0.2 K). Over the whole flight, the standard deviation of the difference between CAROLS and in-situ SSS is about 0.3 pss-78 more accurate than SSS fields derived from coastal numerical model or objective analysis. In the northern part of the flight, CAROLS and in-situ SSS agree. In the southern part, the best agreement is found when using only V-polarization measured at 30° incidence angle or when using a multiparameter retrieval assuming large error on Tb (suggesting the presence of biases on H-polarization). When compared to high-resolution model SSS, the CAROLS SSS underlines the high SSS temporal variability in river plume and on continental shelf border, and the importance of using realistic river run-offs for modeling coastal SSS.


Journal of Geophysical Research | 2016

Wind-Wave induced velocity in ATI SAR Ocean Surface Currents: First experimental evidence from an airborne campaign

Adrien Martin; Christine Gommenginger; Jose Marquez; Sam Doody; Victor Navarro; Christopher Buck

Conventional and along-track interferometric (ATI) Synthetic Aperture Radar (SAR) sense the motion of the ocean surface by measuring the Doppler shift of reflected signals. Measurements are affected by a Wind-wave induced Artefact Surface Velocity (WASV) which was modelled theoretically in past studies and has been estimated empirically only once before with Envisat ASAR by Mouche et al., (2012). An airborne campaign in the tidally dominated Irish Sea served to evaluate this effect and the current retrieval capabilities of a dual-beam SAR interferometer known as Wavemill. A comprehensive collection of Wavemill airborne data acquired in a star pattern over a well-instrumented validation site made it possible for the first time to estimate the magnitude of the WASV, and its dependence on azimuth and incidence angle from data alone. In light wind (5.5 m/s) and moderate current (0.7 m/s) conditions, the wind-wave induced contribution to the measured ocean surface motion reaches up to 1.6 m/s upwind, with a well-defined 2nd order harmonic dependence on direction to the wind. The magnitude of the WASV is found to be larger at lower incidence angles. The airborne WASV results show excellent consistency with the empirical WASV estimated from Envisat ASAR. These results confirm that SAR and ATI surface velocity estimates are strongly affected by WASV and that the WASV can be well characterized with knowledge of the wind knowledge and of the geometry. These airborne results provide the first independent validation of Mouche et al., 2012, and confirm that the empirical model they propose provides the means to correct airborne and spaceborne SAR and ATI SAR data for WASV to obtain accurate ocean surface current measurements. After removing the WASV, the airborne Wavemill retrieved currents show very good agreement against ADCP measurements with a root mean square error (RMSE) typically around 0.1 m/s in velocity and 10° in direction. This article is protected by copyright. All rights reserved.


Journal of Geophysical Research | 2014

Active-Passive Synergy for Interpreting Ocean L-band Emissivity: Results from the CAROLS Airborne Campaigns

Adrien Martin; Jacqueline Boutin; Danièle Hauser; Emmanuel P. Dinnat

The impact of the ocean surface roughness on the ocean L-band emissivity is investigated using simultaneous airborne measurements from an L-band radiometer (CAROLS) and from a C-band scatterometer (STORM) acquired in the Gulf of Biscay (off-the French Atlantic coasts) in November 2010. Two synergetic approaches are used to investigate the impact of surface roughness on the L-band brightness temperature (Tb). First, wind derived from the scatterometer measurements is used to analyze the roughness contribution to Tb as a function of wind and compare it with the one simulated by SMOS and Aquarius roughness models. Then residuals from this mean relationship are analyzed in terms of mean square slope derived from the STORM instrument. We show improvement of new radiometric roughness models derived from SMOS and Aquarius satellite measurements in comparison with prelaunch models. Influence of wind azimuth on Tb could not be evidenced from our data set. However, we point out the importance of taking into account large roughness scales (>20 cm) in addition to small roughness scale (5 cm) rapidly affected by wind to interpret radiometric measurements far from nadir. This was made possible thanks to simultaneous estimates of large and small roughness scales using STORM at small (7–16°) and large (30°) incidence angles.


international geoscience and remote sensing symposium | 2015

Dual beam along-track interferometic SAR to MAP total ocean surface current vectors with the airborne wavemill proof-of-concept instrument: Impact of wind-waves

Adrien Martin; Christine Gommenginger; Bertrand Chapron; Jose Marquez; Sam Doody; David Cotton; Chris Buck

Synoptic maps of total ocean surface currents from space are needed to improve the characterisation and parameterisations of oceanic sub-mesoscale dynamics and represent their impact on global ocean circulation, air-sea exchanges and the marine ecosystem. Wavemill is a satellite mission concept based on a dual beam along-track interferometric SAR principle. An airborne proof-of-concept campaign took place in the tidally-dominated Irish Sea in 2011. A comprehensive collection of airborne flights arranged in a star pattern permitted to sample various azimuthal directions. Here, it is shown that the impact of ocean waves on the measured ocean surface motion can be as large or even larger than the strong tidal current (0.7m/s). Using in situ validation measurements and airborne Wavemill data, the azimuth dependence and magnitude of this wind-wave velocity artefact is characterised.


Remote Sensing of Environment | 2017

Towards wide-swath high-resolution mapping of total ocean surface current vectors from space: Airborne proof-of-concept and validation

Adrien Martin; Christine Gommenginger


Remote Sensing of Environment | 2016

Roughness and foam signature on SMOS-MIRAS brightness temperatures: A semi-theoretical approach

Xiaobin Yin; Jacqueline Boutin; Emmanuel P. Dinnat; Qingtao Song; Adrien Martin


Journal of Geophysical Research | 2014

Active-passive synergy for interpreting ocean L-band emissivity: Results from the CAROLS airborne campaigns: Research Article

Adrien Martin; Jacqueline Boutin; Danièle Hauser; Emmanuel P. Dinnat


EUSAR 2014; 10th European Conference on Synthetic Aperture Radar; Proceedings of | 2014

Wavemill: a new mission for high-resolution mapping of total ocean surface current vectors

Christine Gommenginger; Bertrand Chapron; Jose Marquez; Byron Richards; Marco Caparrini; Geoff Burbidge; David Cotton; Adrien Martin


ESA Living Planet Symposium, ESA-SP 686 | 2010

Interpretation of CAROLS L-Band measurements in the Gulf of Biscaye

Adrien Martin; Jacqueline Boutin; Danièle Hauser; Gilles Reverdin; Mickaël Pardé; Mehrez Zribi; Pascal Fanise; Joseph Tenerelli; Nicolas Reul


Remote Sensing of Environment | 2018

Simultaneous ocean surface current and wind vectors retrieval with squinted SAR interferometry: Geophysical inversion and performance assessment

Adrien Martin; Christine Gommenginger; Yves Quilfen

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Danièle Hauser

Centre national de la recherche scientifique

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Mickaël Pardé

Centre national de la recherche scientifique

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Pascal Fanise

Centre national de la recherche scientifique

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Mehrez Zribi

Institut de recherche pour le développement

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Emmanuel P. Dinnat

Goddard Space Flight Center

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