Mr. Anis Elyouncha Profile

Anis Elyouncha

Research Engineer at Royal Military Academy

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Publications (6)

Proceedings Article | 14 October 2015 Paper

Assessment of the corrected CMOD6 GMF using scatterometer data

Anis Elyouncha, Xavier Neyt, Ad Stoffelen, Jeroen Verspeek

Proceedings Volume 9638, 963803 (2015) https://doi.org/10.1117/12.2195727

KEYWORDS: Backscatter, Calibration, Network on a chip, Radar, Data modeling, Scatterometry, Transponders, Wind measurement, Scatter measurement, Solids

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Proceedings Article | 28 October 2014 Paper

Comparison of the spatial and radiometric resolution of ERS and Metop C-band radars

Anis Elyouncha, Xavier Neyt

Proceedings Volume 9240, 92400L (2014) https://doi.org/10.1117/12.2068190

KEYWORDS: Radar, Antennas, Signal to noise ratio, Spatial resolution, Radiometric resolution, Optical filters, Satellites, Backscatter, Spatial filters, Linear filtering

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Proceedings Article | 10 October 2014 Paper

Analysis of C-band spaceborne scatterometer thermal noise

Anis Elyouncha, Xavier Neyt

Proceedings Volume 9240, 924006 (2014) https://doi.org/10.1117/12.2068172

KEYWORDS: Interference (communication), Antennas, Signal to noise ratio, Receivers, Backscatter, Signal processing, Radiometry, Radar, Scatter measurement, Optical filters

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Proceedings Article | 16 October 2013 Paper

Inter-calibration of Metop-A and Metop-B scatterometers using ocean measurements

Anis Elyouncha, Xavier Neyt

Proceedings Volume 8888, 888806 (2013) https://doi.org/10.1117/12.2033927

KEYWORDS: Calibration, Backscatter, Antennas, Radar, Scatter measurement, Satellites, Data modeling, Computer simulations, Fluctuations and noise, Sensors

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Proceedings Article | 19 October 2012 Paper

A method for cross-comparison of scatterometer data using natural distributed targets: application to ERS-1 and ERS-2 data during the tandem mission

Anis Elyouncha, Xavier Neyt

Proceedings Volume 8532, 85320O (2012) https://doi.org/10.1117/12.975218

KEYWORDS: Backscatter, Calibration, Satellites, Antennas, Data modeling, Instrument modeling, Computer simulations, Distance measurement, Remote sensing, Radar

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Proceedings Article | 10 September 2009 Paper

Radiometric cross-calibration of spaceborne scatterometers: first results

Anis Elyouncha, Xavier Neyt, Marc Acheroy

Proceedings Volume 7473, 74730B (2009) https://doi.org/10.1117/12.832652

KEYWORDS: Backscatter, Calibration, Satellites, Scatter measurement, Data modeling, Space operations, Radar, Clouds, Sensors, Data centers

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The main application of a scatterometer is the determination of the wind speed and direction at the sea surface. This is achieved by measuring the radar backscattering coefficient in three different directions and inverting these measurements using a geophysical model function (GMF). The scientific value of the data is directly related to the quality of the radiometric calibration. There are currently two european C-band scatterometers operating, one on-board the ERS-2 spacecraft launched in 1995 and the other on-board METOP-A, launched in 2006. The similarity of the two scatterometers is an opportunity to ensure the continuity of more than 15 years of global scatterometer measurements. To achieve the consistency of the backscattering coefficients data sets, required for long-term climate studies, an accurate cross-calibration is vital. The cross-calibration is made possible since the two spacecrafts operate simultaneously from 2006 up to now. As the backscattering coefficients measured by the scatterometers depend on acquisition time, location on the ground and on the geometry of the measurements (incidence and look angle), a direct comparison of measurements made by both instruments is practically impossible. In particular cases, models can be used to cope with measurement differences. On the rain forest, assumed to be time-invariant, homogeneous and isotropic, the backscattering coefficient depends only on the incidence angle, and the constant gamma model can be used to cope with the incidence angle effects. On some ice covered areas (e.g. Greenland and Antarctica), assuming that the ice surface is isotropic, the ice line model can be used. It is a function of incidence angle and ice age and depends on the location. On the ocean, which is inherently not stable in time, the CMOD5 GMF is used. CMOD5 relates the observed backscatter to the geophysical parameters which are the wind speed and wind direction. Using the last model, measurement biases can be assessed making simultaneous observations unnecessary.

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