• DocumentCode
    2210423
  • Title

    A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison

  • Author

    Lacava, Teodosio ; Brocca, Luca ; Faruolo, Mariapia ; Matgen, Patrick ; Moramarco, Tommaso ; Pergola, Nicola ; Tramutoli, Valerio

  • Author_Institution
    Inst. of Methodologies for Environ. Anal. (IMAA), Tito Scalo, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1135
  • Lastpage
    1138
  • Abstract
    Soil Moisture (SM), being one of the main variables within the system that controls the hydrological interactions among soil, vegetation and atmosphere, plays a key role in the water cycle. Satellite systems, both active and passive, have already demonstrated their capability to provide reliable SM measurements. The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) mission, launched in November 2009, was the first specific SM satellite mission. In this work we assessed the capability of SMOS data to accurately capture SM dynamics over a long time period by comparing them with in situ observations. To better assess the performance of such results, they were also compared with those obtained with alternative satellite-based SM products, considering in particular those generated by Advanced Microwave Sounding Radiometer (AMSR-E) and Advanced SCATterometer (ASCAT) data.
  • Keywords
    geophysical techniques; soil; AD 2009 11; AMSR-E data; ASCAT data; Advanced Microwave Sounding Radiometer; Advanced SCATterometer; ESA SMOS mission; European Space Agency; SM dynamics; SM satellite mission; SMOS data capability; alternative satellite-based SM products; hydrological interactions; multisensor satellite-based soil moisture products; ocean salinity; satellite systems; Data models; Microwave radiometry; Satellites; Sensors; Soil measurements; Soil moisture; AMSR-E; ASCAT; SMOS; in situ observations; inter-comparison; soil moisture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351348
  • Filename
    6351348