• DocumentCode
    2249886
  • Title

    Estimation of snow density with L-band polarimetric SAR data

  • Author

    Li, Zhen ; Guo, Huadong ; Shi, Jiancheng

  • Author_Institution
    Lab. of Remote Sensing Inf. Sci., Acad. Sinica, Beijing, China
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1757
  • Abstract
    The areas covered by snow are important factors in climatological and hydrological investigations, particularly in alpine regions. Snow density is an important index for indicating snow statutes and calculating snowmelt-runoff. Active microwave sensors can discriminate snow and glacier from other surfaces and are all weather use. The radar polarization signature of an object permits a more accurate description of the object of interest than single-polarization measurements. In this paper, the polarimetric backscattering characteristics of dry snow at L-band are analyzed, and the algorithm for estimation of snow density by using L-band SAR measurements data are used in experiment field. The results showed that L-band polarimetric SAR data are fairly good use to snow density estimation in alpine areas, through comparing snow density in study site from L-band polarimetric SAR data with in situ data
  • Keywords
    backscatter; hydrological techniques; radar cross-sections; radar polarimetry; remote sensing by radar; snow; synthetic aperture radar; L-band; SAR; UHF; algorithm; backscatter; dry snow; measurement technique; polarimetric backscattering; polarization; radar polarimetry; radar remote sensing; radar scattering; radar signature; snow cover; snow density; snow statutes; snowcover; snowpack; Backscatter; Dielectric constant; Electromagnetic scattering; Extraterrestrial measurements; Ice; L-band; Particle scattering; Radar scattering; Remote sensing; Snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.857336
  • Filename
    857336