• DocumentCode
    2706017
  • Title

    SNR simulation with TDI set for lake water color monitoring oriented satellite RS system

  • Author

    Tian, Jia

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Signal to noise ratio (SNR) with time delay integration (TDI) set is of great significance to the satellite remote sensing (RS) system dedicated to the monitoring of lake water color. The technical requisites were set in this paper taking reference to the Sea-viewing Wide Field-of-View Sensor (SeaWiFS), which was aboard on the SeaStar. We simulated radiative transfer process from Taihu Lake water-leaving radiance to apparent radiance on the top of atmosphere using 6S model on 15 of every month, and calculated SNR with TDI set based on the Equivalent Electron Theory. Our results showed that SNR in bands less than 500nm was too low to meet the demand and TDI set was essential in these bands, especially in winter; in bands greater than 500nm, however, the SNR was higher enough (greater than 400) and there was still much potential to improve the spatial or spectral resolution in these bands, especially in summer.
  • Keywords
    brightness; hydrological techniques; lakes; radiative transfer; remote sensing; underwater optics; water quality; China; SNR simulation; Sea-Viewing Wide Field-of-View Sensor; SeaStar; SeaWiFS; TDI set; Taihu Lake; equivalent electron theory; lake water color monitoring; lake water leaving radiance; radiative transfer process; satellite remote sensing system; signal-noise ratio; time delay integration; Atmospheric modeling; Charge coupled devices; Image color analysis; Imaging; Lakes; Remote sensing; Signal to noise ratio; RemoteSensing(RS); SeaWiFS; Signl to noise ratio(SNR); Time delay integration (TDI); Water Color;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980701
  • Filename
    5980701