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
Link To Document :
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