Bayesian data fusion of laser and radar altimetry and digital elevation models (DEMS) For ice sheet topography reconstruction ...
<!--!introduction!--> Measuring ice sheet elevation changes is essential to monitor ongoing ice-sheet mass loss and related sea-level change and calibrate mass-loss prediction models. Moreover, they are also critical for understanding ice-sheet processes. Different sensors, including laser and...
| Main Authors: | , , , |
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| Format: | Conference Object |
| Language: | unknown |
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GFZ German Research Centre for Geosciences
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.57757/iugg23-1094 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018135 |
| Summary: | <!--!introduction!--> Measuring ice sheet elevation changes is essential to monitor ongoing ice-sheet mass loss and related sea-level change and calibrate mass-loss prediction models. Moreover, they are also critical for understanding ice-sheet processes. Different sensors, including laser and radar altimetry and stereo imagery, can capture the change in ice sheet topography and thickness. However, the different resolutions and uncertainty of these sensors and data acquisition missions make the reconstruction of surface change challenging. Laser altimetry provides accurate elevation measurements; however, the data are sparsely distributed in space with temporal gaps due to limited mission extent and atmospheric conditions. These gaps can be filled with radar altimetry data and spatially densified by DEMs. Here we present a fusion framework for combining laser and radar altimetry data and DEMs collected over 50 years. The fusion of the different observations starts with building a correlation matrix, ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... |
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