• DocumentCode
    6076
  • Title

    Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes

  • Author

    Jie Bai ; Li Jia ; Shaomin Liu ; Ziwei Xu ; Guangcheng Hu ; Mingjia Zhu ; Lisheng Song

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • Volume
    12
  • Issue
    5
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    943
  • Lastpage
    947
  • Abstract
    To validate satellite-based surface fluxes by ground measurements properly, several numerical simulations were carried out at a homogeneous alpine meadow site and mixed cropland site, considering various atmospheric conditions and different land cover distribution types. By comparing various pixel selection methods, the results showed that footprint was significant in insuring a consistent spatial scale between ground measurements and satellite-based surface fluxes, particularly for heterogeneous surface and high-resolution remote sensing data. Because large aperture scintillometer measurements cover larger areas than eddy covariance (EC) system measurements, the spatial heterogeneity at a subpixel scale in complicated surface should be further considered in validating coarse satellite data. Thus, more accurate validation data and scaling methods must be developed, such as measuring surface fluxes at the satellite pixel scale by a flux measurement matrix or airborne EC measurements.
  • Keywords
    land cover; remote sensing; terrain mapping; airborne EC measurements; alpine meadow site; atmospheric conditions; cropland site; eddy covariance system; flux measurement matrix; footprint; ground measurements; high-resolution remote sensing data; land cover distribution types; large aperture scintillometer measurements; numerical simulations; pixel selection methods; satellite pixel scale; satellite-based surface fluxes; scaling methods; spatial heterogeneity; subpixel scale; surface flux measurement; validating coarse satellite data; validation data; Atmospheric measurements; Atmospheric modeling; Heating; Land surface; Pollution measurement; Remote sensing; Satellites; Flux measurement; footprint; remote sensing; scale; validation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2014.2368580
  • Filename
    7003982