DECOMPOSITION TECHNIQUES FOR ICESAT/GLAS FULL-WAVEFORM DATA

• Published in: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Main Authors: Liu, Z., Gao, X., Li, G., Chen, J.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2018
• Subjects: article; Verlagsveröffentlichung; Ice Shelf
• Online Access: https://doi.org/10.5194/isprs-archives-XLII-3-1179-2018; https://noa.gwlb.de/receive/cop_mods_00006430; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00006387/isprs-archives-XLII-3-1179-2018.pdf; https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/1179/2018/isprs-archives-XLII-3-1179-2018.pdf

The geoscience laser altimeter system (GLAS) on the board Ice, Cloud, and land Elevation Satellite (ICESat), is the first long-duration space borne full-waveform LiDAR for measuring the topography of the ice shelf and temporal variation, cloud and atmospheric characteristics. In order to extract the characteristic parameters of the waveform, the key step is to process the full waveform data. In this paper, the modified waveform decomposition method is proposed to extract the echo components from full-waveform. First, the initial parameter estimation is implemented through data preprocessing and waveform detection. Next, the waveform fitting is demonstrated using the Levenberg-Marquard (LM) optimization method. The results show that the modified waveform decomposition method can effectively extract the overlapped echo components and missing echo components compared with the results from GLA14 product. The echo components can also be extracted from the complex waveforms.