SMOS CATDS level 3 global products over land

Elsa Jacquette; Ahmad Al Bitar; Arnaud Mialon; Yann Kerr; Arnaud Quesney; François Cabot; Philippe Richaume

doi:10.1117/12.865093

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22 October 2010 SMOS CATDS level 3 global products over land

Elsa Jacquette; Ahmad Al Bitar; Arnaud Mialon; Yann Kerr; Arnaud Quesney; François Cabot; Philippe Richaume

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Proceedings Volume 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII; 78240K (2010) https://doi.org/10.1117/12.865093
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

The Soil Moisture and Ocean Salinity (SMOS) satellite is a 2D interferometer in L-band (1.4 GHz). Over land, it enables to probe the earth surface emissivity related to soil moisture in the first centimeters of the soil, with an aimed accuracy better than 4m³.m^-3 and an average spatial resolution of 40km. The European Space Agency's (ESA) ground segment provides half-orbit soil moisture products at level 2. The Centre National d'Etudes Spatiales (CNES) in France has developed the CATDS (Centre Aval de Traitement des Données SMOS) ground segment in order to produce global maps, known as level 3 and 4 products. Over land, the algorithm is based on the level 2 soil moisture ESA's prototype. The major enhancement of the CATDS concerns the use of multi-orbit retrieval. The level 3 Soil moisture (SM) products are global maps of soil moisture, and other geophysical products (vegetation optical thickness, albedo, soil dielectric constant or surface temperature). For a particular point, the revisit time is between 1 and 3 days, and the entire Earth's surface is covered by SMOS field of view in 3 days. Level 3 SM products are available over different time periods. First, a 1 day global product is generated for each day. Then, 1 day global maps are aggregated in 3-day global products, 10- day and monthly products.

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Elsa Jacquette, Ahmad Al Bitar, Arnaud Mialon, Yann Kerr, Arnaud Quesney, François Cabot, and Philippe Richaume "SMOS CATDS level 3 global products over land", Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78240K (22 October 2010); https://doi.org/10.1117/12.865093

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