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- W2237504088 abstract "Abstract This paper presents a filtering method for ices at Global Land Surface Altimetry data (GLA14), which is based on indicators to detect potentially contaminated GLA14 elevation points. Potential contamination sources include attitude miscalculation, saturated echoes, equipment noise, the atmosphere, and variable elevation within footprints. For a study site located in Northern Canada, this multi-indicator filter provided a 19 percent reduction in the root mean square error for elevation, when compared to Canadian Digital Elevation Data (CDED). This result dem onstrates the method’s ability to provide an improved dataset for vertical accuracy evaluation, with respect to unfiltered GLA14 data. The improvement was achieved with a rejection rate of 69 percent. However, due to the high density of the unfiltered GLA14 data over the study site, a spatially homogeneous distribution of elevation points was maintained, even after filtering. Results also showed the rejection efficiency of most indicators, as well as their complementarity." @default.
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- W2237504088 date "2015-09-01" @default.
- W2237504088 modified "2023-09-27" @default.
- W2237504088 title "Filtering Global Land and Surface Altimetry Data (GLA14) for Elevation Accuracy Determination" @default.
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- W2237504088 doi "https://doi.org/10.14358/pers.81.9.701" @default.
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