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