DocumentCode :
78235
Title :
Development of Onboard Digital Elevation and Relief Databases for ICESat-2
Author :
Leigh, Holly W. ; Magruder, Lori A. ; Carabajal, Claudia C. ; Saba, Jack L. ; McGarry, Jan F.
Author_Institution :
Appl. Res. Labs., Univ. of Texas at Austin, Austin, TX, USA
Volume :
53
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
2011
Lastpage :
2020
Abstract :
The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2), the successor mission to ICESat, is planned to launch in 2017. The ICESat-2 spacecraft will carry the Advanced Topographic Laser Altimeter System (ATLAS). ATLAS will be the most precise space-based photon-counting laser altimeter to date, and its measurement strategy requires the development of sophisticated onboard receiver algorithms to ensure success in downlinking the science data in the telemetry and the subsequent development of science data products. A set of databases, the digital elevation model and digital relief map (DRM), has been developed for use in ATLAS onboard signal processing. A number of elevation data sets were combined to create the global elevation and relief databases, and a method for calculating along-track relief from raster elevation data sets was devised. A technique for deriving the accuracy of the DRM relative to the magnitude of relief was developed to inform the selection of DRM margin values.
Keywords :
digital elevation models; geophysical techniques; remote sensing; ATLAS onboard signal processing; Advanced Topographic Laser Altimeter System; ICESat-2 mission; ICESat-2 spacecraft; digital elevation model; digital relief map; onboard digital elevation development; raster elevation data sets; relief databases; science data products; sophisticated onboard receiver algorithms; space-based photon-counting laser altimeter; Databases; Measurement by laser beam; Photonics; Receivers; Signal processing algorithms; Surface topography; Telemetry; Altimetry; ICESat-2; flight software; laser radar; telemetry;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2014.2352277
Filename :
6905799
Link To Document :
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