Improved Envisat Altimetry Ice Sheet Elevation Change Data Processing Algorithms Using Repeat-Track Analysis

Improved Envisat Altimetry Ice Sheet Elevation Change Data Processing Algorithms Using Repeat-Track Analysis

Repeat-track analysis is commonly utilized to generate elevation change time series from satellite radar altimetry over ice sheets. It requires surface gradient (SG) correction due primarily to orbital drifts and radar-related empirical corrections caused by radar scatters from ice surface and poten...

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Veröffentlicht in:IEEE geoscience and remote sensing letters 2016-08, Vol.13 (8), p.1099-1103
Hauptverfasser: Xiaoli Su, Shum, C.-K, Chungyen Kuo, Yuchan Yi
Format: Artikel
Sprache:eng
Schlagworte:
Algorithm design and analysis
Algorithms
Altimeters
Altimetry
Backscatter
Continental ice sheets
Digital Elevation Models
Elevation
elevation change
Envisat altimetry
Ice
Ice sheets
Mathematical models
radar backscatters
Radar tracking
repeat-track analysis
Time series
Time series analysis
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Zusammenfassung:Repeat-track analysis is commonly utilized to generate elevation change time series from satellite radar altimetry over ice sheets. It requires surface gradient (SG) correction due primarily to orbital drifts and radar-related empirical corrections caused by radar scatters from ice surface and potential subsurface. In this letter, two approaches, namely, the use of a digital elevation model (DEM) and the modified repeat-track analysis, which uses the accumulated Envisat altimetry profiles, are applied to correct the SG over both Greenland ice sheet (GrIS) and Antarctic ice sheet (AIS). By comparing the root mean square (rms) of elevation change time series after SG correction, the percentage of data (rms
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2016.2567486