• DocumentCode
    2213128
  • Title

    Surface soil moisture evaluation by a multitemporal satellite approach

  • Author

    Fontanelli, Katia ; Carlà, Roberto ; Fiorucci, Federica ; Santurri, Leonardo

  • Author_Institution
    Inst. of Appl. Phys. “Nello Carrara”, Nat. Res. Council of Italy, Florence, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    686
  • Lastpage
    689
  • Abstract
    The Multitemporal Ts-VI (MTVI) method has been proposed as a modified extension of the well known Temperature-Vegetation Dryness Index (TVDI), taking advantage of the self-consistency of TVDI but at the same time trying to overcome its greatest constraint for better characterizing and monitoring surface soil moisture conditions over large and heterogeneous areas and so extending the operational applicability of the Ts-VI relationship. In order to test the performances of the MTVI method, a multitemporal sequence of Landsat TM-ETM+ images, acquired over a wide area in Umbria region (Italy), were selected and processed. The derived MTVI soil moisture maps reveal a better agreement with ground measurements recorded at rain gauge stations, both for a long- (the same month in different years) and a short-term (the same season in different dates) sequence of satellite imagery, than those obtained by the application of the standard Ts-VI method.
  • Keywords
    geophysical image processing; geophysical techniques; soil; Italy; Landsat TM-ETM+ images; MTVI method; MTVI soil moisture maps; Ts-VI relationship; Umbria region; ground measurements; heterogeneous areas; multitemporal Ts-VI method; multitemporal satellite approach; multitemporal sequence; rain gauge stations; satellite imagery; standard Ts-VI method; surface soil moisture conditions; surface soil moisture evaluation; temperature-vegetation dryness index; Moisture; Remote sensing; Satellite broadcasting; Satellites; Soil; Surface soil; Vegetation mapping; MTVI method; Surface soil moisture; Ts-VI relationship; multitemporal Landsat sequence;
  • 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.2012.6351486
  • Filename
    6351486