• DocumentCode
    54889
  • Title

    Comparison Between GOES-East and -West for Land Surface Temperature Retrieval From a Dual-Window Algorithm

  • Author

    Donglian Sun ; Yunyue Yu ; Hequn Yang ; Qinhuo Liu ; Jiancheng Shi

  • Author_Institution
    Dept. of Geogr. & Geoinf. Sci., George Mason Univ., Fairfax, VA, USA
  • Volume
    10
  • Issue
    3
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    578
  • Lastpage
    582
  • Abstract
    In this letter, land surface temperature (LST) is derived from Geostationary Operational Environmental Satellite (GOES)-East (GOES-E) and GOES-West (GOES-W) using a revised dual-window LST algorithm developed by Sun and Pinker in 2004. LST derived from GOES is also evaluated against ground observations. The results show that the LSTs from GOES-E are warmer than those from GOES-W in the morning but lower in the afternoon, while there is no big difference around noon and during night. It is found that the original brightness temperatures from GOES-E and GOES-W show similar patterns to LSTs over time. The discrepancy in LSTs is most probably due to the fact that the Earth surface is warmer in GOES-E than in GOES-W in the morning but cooler in the afternoon. Some other factors may include the difference in satellite viewing geometry, image navigation and registration, calibration, and spectral response functions. It is expected that these effects should be small as those demonstrated in nighttime difference. When evaluated against the ground observations, over the overlap region, the LST bias error is positive from GOES-E but negative from GOES-W in the morning, leading to a positive LST difference, while the bias from GOES-W is close to zero but negative from GOES-E in the afternoon, resulting in a negative LST difference. Nevertheless, the LST root-mean-square errors from GOES-E and GOES-W are very close and reach the maximum around noontime. To synergistically use LST from different satellite sensors, we suggest using nighttime data; further study is needed to best use daytime LSTs.
  • Keywords
    atmospheric techniques; geophysics computing; land surface temperature; AD 2004; Earth surface; GOES-East; GOES-West; Geostationary Operational Environmental Satellite; LST root-mean-square errors; calibration function; dual-window LST algorithm; image navigation; image registration; land surface temperature retrieval; nighttime data; original brightness temperatures; satellite viewing geometry; spectral response function; Land surface; Land surface temperature; Ocean temperature; Remote sensing; Satellites; Sea surface; Temperature sensors; Differences in land surface temperature (LST) between Geostationary Operational Environmental Satellite (GOES)-East (GOES-E) and GOES-West (GOES-W); GOES; GOES-E; GOES-W; LST;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2214473
  • Filename
    6329406