• DocumentCode
    142467
  • Title

    Working towards a global-scale vegetation water product from SMOS optical depth

  • Author

    Grant, Jennifer ; Wigneron, Jean-Pierre ; Williams, Mathew ; Scholze, Marko ; Kerr, Yann

  • Author_Institution
    Lund Univ., Lund, Sweden
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    286
  • Lastpage
    289
  • Abstract
    In this study, vegetation optical depth from ESA´s Soil Moisture and Ocean Salinity (SMOS) satellite mission is combined with other existing remote sensing, meteorological and literature data in order to obtain values of gravimetric vegetation water content (Mg). The methodology combines an effective medium model valid at passive microwave frequencies with a vegetation dielectric constant model. The algorithm is calibrated for 11 global vegetation classes. The resulting product consists of temporally dynamic ~25 km global grids of Mg. The first maps clearly show seasonal differences in vegetation water, which vary for the different continental regions due to variations in e.g. latitude, climate and landcover type. This new vegetation water product is unique and offers important complementary information to existing vegetation indices.
  • Keywords
    land cover; permittivity; terrain mapping; vegetation; vegetation mapping; ESA Soil Moisture and Ocean Salinity satellite mission; SMOS optical depth; continental regions; global vegetation classes; global-scale vegetation water product; gravimetric vegetation water content; landcover type; literature data; meteorological data; passive microwave frequencies; remote sensing data; seasonal differences; temporally dynamic global grids; vegetation dielectric constant model; vegetation indices; vegetation optical depth; Biomass; Biomedical optical imaging; Carbon; Integrated optics; Optical filters; Optical sensors; Vegetation mapping; SMOS; vegetation optical depth; vegetation water content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946413
  • Filename
    6946413