• DocumentCode
    576222
  • Title

    Adaptive re-traking of Jason-1 altimeter data for inland waters (on an example the Gorky reservoir on the Volga river

  • Author

    Troitskay, Y. ; Rybushkina, G. ; Soustova, I. ; Lebedev, S.

  • Author_Institution
    Inst. of Appl. Phys., Nizhny Novgorod, Russia
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    794
  • Lastpage
    797
  • Abstract
    The problem of minimization of the errors in the water level retrieving for the Gorky reservoir from altimetry measurements can be resolved by re-tracking of Jason-1 satellite altimeter data. For justification of the optimal re-tracking algorithm the average impulse response of the statistically inhomogeneous surface were calculated theoretically for the model of the terrain in the vicinity of Gorky reservoir. The modeled waveforms are in good agreement with the Jason-1 ,2 waveforms for the same area. Comparing of the data with in situ measurements shows that re-tracking significantly improves measurements of the water level. General principles of re-tracking algorithms for complex areas (land, coastal zone, inland waters, etc) based on calculations of the waveforms taking into account statistical inhomogeneity of the reflecting surface adjusted to a certain geographic region, are discussed.
  • Keywords
    height measurement; hydrological techniques; reservoirs; rivers; Gorky Reservoir; Jason-1 altimeter data; Jason-1 satellite altimeter data; Jason-1 waveform; Jason-2 waveform; Volga River; altimetry measurements; average impulse response; coastal zone; error minimization; geographic region; inland waters; optimal retracking algorithm; reflecting surface; statistically inhomogeneous surface; water level; Abstracts; Altimetry; Correlation; Geophysical measurements; Logic gates; Reservoirs; Signal resolution; Satellite altimetry; inland waters; re-tracking;
  • 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.2012.6351442
  • Filename
    6351442