Academic Journal
A New Direct Sun Correction Algorithm for the Soil Moisture and Ocean Salinity Space Mission
| العنوان: | A New Direct Sun Correction Algorithm for the Soil Moisture and Ocean Salinity Space Mission |
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| المؤلفون: | Khazaal, Ali, Cabot, François, Anterrieu, Eric, Kerr, Yann H. |
| المساهمون: | Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), CNES through the project TOSCA |
| المصدر: | ISSN: 1939-1404 ; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; https://hal.inrae.fr/hal-03254361 ; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.1164-1173. ⟨10.1109/JSTARS.2020.2971063⟩. |
| بيانات النشر: | HAL CCSD IEEE |
| سنة النشر: | 2020 |
| المجموعة: | Université Toulouse III - Paul Sabatier: HAL-UPS |
| مصطلحات موضوعية: | Constrained optimization, inverse problems, regularization, solar radiations, [SHS.GEO]Humanities and Social Sciences/Geography, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU]Sciences of the Universe [physics] |
| الوصف: | International audience ; The interferometric measurements provided by the Soil Moisture and Ocean Salinity (SMOS) satellite are contaminated by solar radiations due to a quasi-permanent presence of the Sun in the field of view of the instrument. A correction algorithm is developed and implemented in the SMOS image reconstruction processor to remove the contribution of these radiations. Since the Sun is seen under an angle much smaller than the angular resolution of SMOS, this algorithm assimilates the Sun disc to a single source located at its center. However, strong residuals persist in the retrieved images mainly due to the presence of different distributed smaller sources of brightness in the Sun disc. Thus, the performance of the algorithm degrades rapidly as soon as the dominant source is far from the center of the disc. This behavior shows the limitation of the algorithm and its strong dependencies to the position of the Sun. In this article, we propose two other algorithms to account for the solar radiations. The first one is an iterative optimization algorithm based on estimating the position of the dominant source of brightness inside the Sun disc. The second algorithm is based on estimating the contribution of the different sources of brightness within the Sun disc using an oversampled grid by solving a constrained least square optimization problem with an explicit solution. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | WOS: 000528936700002 |
| DOI: | 10.1109/JSTARS.2020.2971063 |
| الاتاحة: | https://hal.inrae.fr/hal-03254361 https://hal.inrae.fr/hal-03254361v1/document https://hal.inrae.fr/hal-03254361v1/file/09043746.pdf https://doi.org/10.1109/JSTARS.2020.2971063 |
| Rights: | http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.23095327 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/JSTARS.2020.2971063 |
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