• DocumentCode
    2235059
  • Title

    Hourly photosynthetically active radiation estimation based on the combination of geostationary and polar orbital satellites

  • Author

    Li, Li ; Xin, Xiaozhou ; Zhang, Hailong ; Liu, Qinhuo

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5081
  • Lastpage
    5084
  • Abstract
    Photosynthetically active radiation (PAR) can be calculated by radiation transfer model. With the progress of remote sensing application, more and more input parameters could be inversed by remote sensing data. Then using these inversion parameters, the PAR could be estimated. The normal method estimation PAR by remote sensing data is using instantaneous value at the time of polar orbital satellite passing to accumulate the daily amount of PAR. However, daily cloud cover changes very obviously. PAR is always affected by atmospheric composition and cloud condition. So in this paper, the method which could combine geostationary and polar orbital satellite to improve PAR product time resolution is the main content. At last, MTSAT geostationary and MODIS polar orbital satellite are used to this method to estimate hourly PAR in whole China area.
  • Keywords
    clouds; radiative transfer; radiometry; remote sensing; China area; MODIS polar orbital satellite; MTSAT geostationary; PAR product time resolution; atmospheric composition; cloud condition; daily cloud cover changes; geostationary satellite; hourly photosynthetically active radiation estimation; normal method estimation; polar orbital satellite; radiation transfer model; remote sensing application; remote sensing data; Atmospheric modeling; Clouds; Estimation; Land surface; Remote sensing; Satellites; Surface topography; 6S; MTSAT; PAR; SBDART;
  • 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.2012.6352468
  • Filename
    6352468