Void filling in glacier elevation change data sets ...

• Main Author: Seehaus, Thorsten
• Format: Dataset
• Language: English
• Published: PANGAEA 2021
• Subjects: elevation changes; Glacier mass balance; void filling; File content; Binary Object; Binary Object File Size; Multiple investigations; Geodetic Glacier; glacier; Alaska
• Online Access: https://dx.doi.org/10.1594/pangaea.928371; https://doi.pangaea.de/10.1594/PANGAEA.928371

The increasing availability of digital elevation models (DEMs) facilitates the monitoring of glacier mass balances on local and regional scales. Geodetic glacier mass balances are obtained by differentiating DEMs. However, these computations are usually affected by voids in the derived elevation change data sets. Different approaches, using spatial statistics or interpolation techniques, were developed to account for these voids in glacier mass balance estimations. In this study we apply novel void filling techniques, which are typically used for the reconstruction and retouche of images and photos, for the first time on elevation change maps. We selected 6210 km² of glacier area in southeast Alaska, USA, covered by two void free DEMs as study site to test different inpainting methods. Different artificially voided setups were generated using manually defined voids and a correlation mask based on stereoscopic processing of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) acquisition. ...