Void filling in glacier elevation change data sets ...

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 cha...

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Bibliographic Details
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
Description
Summary: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. ...

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