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Airborne traverse data require spatial interpolation to generate continuous Digital Elevation Models (DEMs). DEMs in turn are important resources for geographical and environmental studies. In this study we use ice thickness data and surface elevation data collected by the NASA DC-8 aircraft as a pa...
| Main Authors: | , |
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| Format: | Text |
| Language: | English |
| Published: |
2011
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.470 http://shoreline.eng.ohio-state.edu/publications/11thesis_deep.pdf |
| Summary: | Airborne traverse data require spatial interpolation to generate continuous Digital Elevation Models (DEMs). DEMs in turn are important resources for geographical and environmental studies. In this study we use ice thickness data and surface elevation data collected by the NASA DC-8 aircraft as a part of the IceBridge mission from October and November, 2009. The ice thickness and surface elevation data downloaded from the National Snow and Ice Data Center (NSIDC) were processed for removal of anomalous data using a GIS. We developed a locally adaptive interpolation algorithm, which segments the data into several local regions based on the statistical properties of the data. We produced ice thickness, surface elevation and subglacial DEMs for Pine Island and Thwaites glaciers using the processed dataset and our locally adaptive algorithm. We made a comparative study between different interpolation techniques to determine the suitable interpolation technique for use with airborne traverse data. Finally, we validated our DEMs through visual comparison with the RADARSAT |
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