Title: Lake Level Variations Monitored With Satellite Altimetry Waveform Retracking
Authors: Guo, Jinyun
Chang, Xiaotao
Gao, Yonggang
Sun, Jialong
Hwang, Cheinway
土木工程學系
Department of Civil Engineering
Keywords: Improved threshold retracker;lakes;lake level variations;level measurement;radar altimetry;satellite altimetry;waveform analysis;waveform retracking
Issue Date: 1-Jun-2009
Abstract: Over lake shores, altimetric waveforms are generally contaminated by lands, rough lake surfaces, and lag effects of the altimeter's automatic gain control. To improve altimeter ranging accuracy and in turn to get better surface height measurement, contaminated waveforms should be retracked against geophysical corrections. In this paper, an improved threshold retracker (ITR) is developed to retrack waveforms over lakes. ITR considers not only the physical characteristics of the reflecting surface, but also the stochastic feature of waveform, and two new retrackers, the N-Beta function model, and the N-5-Beta function model, are also put forward to develop the waveform retracking program of this study. TOPEX/POSEIDON waveforms over Hulun Lake in the North China are retracked to monitor the temporal lake level variations. A comparison with the in situ hydrological data indicates ITR is very efficient to monitor the lake level variations with the retracked altimetric data. The result of our study shows accurate seasonal level variations and the descending trend of Hulun Lake.
URI: http://dx.doi.org/10.1109/JSTARS.2009.2021673
http://hdl.handle.net/11536/7171
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2009.2021673
Journal: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Volume: 2
Issue: 2
Begin Page: 80
End Page: 86
Appears in Collections:Articles


Files in This Item:

  1. 000276104800006.pdf