2010
DOI: 10.1109/tgrs.2010.2041355
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Definition of ICESat Selection Criteria for Their Use as Height References for TanDEM-X

Abstract: The TanDEM-X satellite synthetic aperture radar (SAR) mission, which is the result of the partnership between the German Aerospace Center (DLR) and Astrium GmbH, has the goal to deliver a high-precision global digital elevation model (DEM). The X-band SAR interferometry-derived DEMs contain absolute and relative height errors that have to be minimized with the help of height references in order to achieve the specified accuracies. ICESat laser altimetry data are suited for this task, due to their accuracy and … Show more

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Cited by 53 publications
(30 citation statements)
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“…GLA System elevations are referenced using the Topex/Poseidon ellipsoid and EGM96 geoid. ICESat/GLA14 data have high vertical accuracy: about 0.1 m (1σ) for flat bare locations and 1 m (1σ) for undulating vegetated surfaces (González et al, 2010). The attained accuracy can reach 0.1 m for monitoring lake elevation in this study.…”
Section: Icesat Datamentioning
confidence: 58%
“…GLA System elevations are referenced using the Topex/Poseidon ellipsoid and EGM96 geoid. ICESat/GLA14 data have high vertical accuracy: about 0.1 m (1σ) for flat bare locations and 1 m (1σ) for undulating vegetated surfaces (González et al, 2010). The attained accuracy can reach 0.1 m for monitoring lake elevation in this study.…”
Section: Icesat Datamentioning
confidence: 58%
“…A morphology preserving multidirectional Lee Filter for noise and artifact reduction was applied [53]. High accuracy ICESat altimetry data from 15 overpasses over Lake Manyara between 2003 and 2009 were processed to calculate a mean lake level of 954.25 m (EGM96, standard deviation of 35 cm) [57]. The SRTM-X lake level was adjusted to this height.…”
Section: Lake Levelmentioning
confidence: 99%
“…A considerable number of studies have been conducted based on TSX/TDX data. For example, 3D topographic reconstruction, fusion of ascending and descending images, phase unwrapping and filtering [28][29][30][31][32], large-scale deformation monitoring e.g., volcano and glacier [33][34][35], relative and absolute accuracy assessment of TSX/TDX DEM [36][37][38][39][40][41], terrain classification and forest height and biomass inversion [42,43]. The accumulated TSX/TDX image pairs acquired over the years can be used to generate a set of DEMs over the same area, which is particularly helpful for investigating the temporal evolution of natural hazards, e.g., landslides.…”
Section: Introductionmentioning
confidence: 99%