A New L-Band Passive Radiometer For Earth Observation: SMOS-High Resolution (SMOS-HR)

Rodríguez-Fernández, Nemesio; Anterrieu, Éric; Cabot, François; Boutin, Jacqueline; Picard, Ghislain; Pellarin, Thierry; Merlin, Olivier; Vialard, Jérôme; Vivier, Frédéric; Costeraste, J.; Palacin, Baptiste; Rodriguez-Suquet, R.; Amiot, Thierry; Khaazal, A.; Rougé, Bernard; Morel, Jean‐Michel; Colom, Miguel; Decoopman, T.; Jeannin, Nicolas; Caujolle, R.; Escorihuela, Maria-José; Bitar, Ahmad Al; Richaume, Philippe; Mialon, Arnaud; Suere, Christophe; Kerr, Yann H.

doi:10.1109/igarss39084.2020.9324685

Cited by 10 publications

(7 citation statements)

References 12 publications

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“…Fig. 6 shows the landscape of the convex minimization problem (7), which confirms that σ 0 is a good initialization for the gradient descent.…”

Section: The Minimization Problemsupporting

confidence: 53%

“…2, is a natural choice as it greatly reduces the complexity of the problem. This approach was used for SMOS [14], is also considered for its successors [7]. The well-known drawbacks of this choice are the inevitable redundancy of some baselines (see Fig.…”

Section: A Positioning the Problemmentioning

confidence: 99%

“…Because B I is such an ideal set of baselines, the cost function should be as low as possible when evaluated in B I . This leads us to define σ as the solution of the convex minimization problem (7). This problem is illustrated in Fig.…”

Section: The Minimization Problemmentioning

confidence: 99%

“…In order to compute the cost function ( 7), we will use a discrete version of ( 7) by associating a grid Gr with S B . The minimization problem (7) becomes…”

Section: Discrete Formulation and Optimizationmentioning

confidence: 99%

“…With SMOS still operating after more than twice its expected lifetime, new designs for a follow-on mission are under study. SMOS-HR (high resolution) is currently under study by the Centre National d'Etudes Spatiales [5,6,7]. As SMOS, SMOS-HR is an aperture synthesis radiometer, but with baselines up to 17 meters to provide a spatial resolution up to 10 km, 3 times better than that of SMOS.…”

Section: Introductionmentioning

confidence: 99%

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Irregular Layout for a Satellite’s Interferometric Array

Krzakala¹,

Assouel²,

Dunitz³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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We address the optimization problem of antenna placement on satellite-mounted interferometric syntheticaperture instruments. In classic designs, the antennas on satellites are aligned regularly on the satellite's frame. Inspired by methods proposed for the placement of antennas in astronomical interferometers such as ALMA or SKA, we explore irregular layouts and show that they are a valid alternative in terms of spatial resolution and reconstruction error. We formalize mathematically the optimization problem of irregularly-placed antennas and we show that this kind of arrays can still be calibrated with the same methods used for regular arrays. Finally, this strategy is evaluated in the context of Soil Moisture and Ocean Salinity (SMOS) follow-up concepts such as SMOS-HR, for which the new optimized irregular configurations are compared to the regular ones.

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“…Fig. 6 shows the landscape of the convex minimization problem (7), which confirms that σ 0 is a good initialization for the gradient descent.…”

Section: The Minimization Problemsupporting

confidence: 53%

Section: A Positioning the Problemmentioning

confidence: 99%

Section: The Minimization Problemmentioning

confidence: 99%

“…In order to compute the cost function ( 7), we will use a discrete version of ( 7) by associating a grid Gr with S B . The minimization problem (7) becomes…”

Section: Discrete Formulation and Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Irregular Layout for a Satellite’s Interferometric Array

Krzakala¹,

Assouel²,

Dunitz³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors

Boutin,

Yueh,

Bindlish

et al. 2023

Surv Geophys

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The monitoring of soil moisture and sea surface salinity over the Earth has been profoundly enhanced during the last thirteen years due to a new generation of satellite sensors. L-band radiometry is currently the only technology providing direct measurements of soil moisture, insensitive to surface roughness and distribution of elements in the soil, and the only technology the only technology for measuring that allows us to measure sea surface salinity from space. The Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellite missions resolve global and local variability with a spatial resolution of approximately 43 km, a swath width close to 1000 km, and a sampling time, for each mission, of at least twice every 3 days. These resolutions and samplings can be increased by either merging data from the two sensors, and with complementary information gathered from other passive or active sensors, or with in situ information at higher spatial resolution. Numerous scientific studies based on the use of this new type of measurement have led to a better understanding and constraint of the processes governing the variability of the water cycle, ocean circulation and the Earth's climate. The continuity of measurements, and the increased spatial and radiometric resolution is critical for fulfilling scientific needs. Future L-band radiometry missions currently being planned in Europe (the Copernicus Imaging Microwave Radiometer), and in China (the Ocean Salinity mission) should provide better constraints on auxiliary parameters by combining multiple frequencies, but they will not have improved spatial resolution beyond SMOS and SMAP. The temporal continuity with SMOS and SMAP will likely not be ensured. In parallel, new concepts are being developed to increase spatial resolution of both land and ocean parameters.

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Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning

Lee

Park

et al. 2022

Journal of Hydrology

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A New L-Band Passive Radiometer For Earth Observation: SMOS-High Resolution (SMOS-HR)

Cited by 10 publications

References 12 publications

Irregular Layout for a Satellite’s Interferometric Array

Irregular Layout for a Satellite’s Interferometric Array

Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors

Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning

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