Novel Techniques for 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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ftdoajarticles:oai:doaj.org/article:dfb6e8cd374e4a6c818b200f7acdaa5f 2023-05-15T16:20:29+02:00 Novel Techniques for Void Filling in Glacier Elevation Change Data Sets Thorsten Seehaus Veniamin I. Morgenshtern Fabian Hübner Eberhard Bänsch Matthias H. Braun 2020-11-01T00:00:00Z https://doi.org/10.3390/rs12233917 https://doaj.org/article/dfb6e8cd374e4a6c818b200f7acdaa5f EN eng MDPI AG https://www.mdpi.com/2072-4292/12/23/3917 https://doaj.org/toc/2072-4292 doi:10.3390/rs12233917 2072-4292 https://doaj.org/article/dfb6e8cd374e4a6c818b200f7acdaa5f Remote Sensing, Vol 12, Iss 3917, p 3917 (2020) glacier mass balance elevation change void filling Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12233917 2022-12-31T04:00:51Z 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 km 2 of glacier area in southeast Alaska, USA, covered by two void-free DEMs as the 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. Three “novel” (Telea, Navier–Stokes and shearlet) as well as three “classical” (bilinear interpolation, local and global hypsometric methods) void filling approaches for glacier elevation data sets were implemented and evaluated. The hypsometric approaches showed, in general, the worst performance, leading to high average and local offsets. Telea and Navier–Stokes void filling showed an overall stable and reasonable quality. The best results are obtained for shearlet and bilinear void filling, if certain criteria are met. Considering also computational costs and feasibility, we recommend using the bilinear void filling method in glacier volume change analyses. Moreover, we propose and validate a formula to estimate the uncertainties caused by void filling in glacier volume change computations. The formula is transferable to other study sites, where no ground truth data on the void areas exist, and leads to higher accuracy of the error estimates on void-filled areas. In the spirit of reproducible research, ... Article in Journal/Newspaper glacier Alaska Directory of Open Access Journals: DOAJ Articles Geodetic Glacier ENVELOPE(163.800,163.800,-77.750,-77.750) Remote Sensing 12 23 3917 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
glacier mass balance elevation change void filling Science Q |
spellingShingle |
glacier mass balance elevation change void filling Science Q Thorsten Seehaus Veniamin I. Morgenshtern Fabian Hübner Eberhard Bänsch Matthias H. Braun Novel Techniques for Void Filling in Glacier Elevation Change Data Sets |
topic_facet |
glacier mass balance elevation change void filling Science Q |
description |
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 km 2 of glacier area in southeast Alaska, USA, covered by two void-free DEMs as the 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. Three “novel” (Telea, Navier–Stokes and shearlet) as well as three “classical” (bilinear interpolation, local and global hypsometric methods) void filling approaches for glacier elevation data sets were implemented and evaluated. The hypsometric approaches showed, in general, the worst performance, leading to high average and local offsets. Telea and Navier–Stokes void filling showed an overall stable and reasonable quality. The best results are obtained for shearlet and bilinear void filling, if certain criteria are met. Considering also computational costs and feasibility, we recommend using the bilinear void filling method in glacier volume change analyses. Moreover, we propose and validate a formula to estimate the uncertainties caused by void filling in glacier volume change computations. The formula is transferable to other study sites, where no ground truth data on the void areas exist, and leads to higher accuracy of the error estimates on void-filled areas. In the spirit of reproducible research, ... |
format |
Article in Journal/Newspaper |
author |
Thorsten Seehaus Veniamin I. Morgenshtern Fabian Hübner Eberhard Bänsch Matthias H. Braun |
author_facet |
Thorsten Seehaus Veniamin I. Morgenshtern Fabian Hübner Eberhard Bänsch Matthias H. Braun |
author_sort |
Thorsten Seehaus |
title |
Novel Techniques for Void Filling in Glacier Elevation Change Data Sets |
title_short |
Novel Techniques for Void Filling in Glacier Elevation Change Data Sets |
title_full |
Novel Techniques for Void Filling in Glacier Elevation Change Data Sets |
title_fullStr |
Novel Techniques for Void Filling in Glacier Elevation Change Data Sets |
title_full_unstemmed |
Novel Techniques for Void Filling in Glacier Elevation Change Data Sets |
title_sort |
novel techniques for void filling in glacier elevation change data sets |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12233917 https://doaj.org/article/dfb6e8cd374e4a6c818b200f7acdaa5f |
long_lat |
ENVELOPE(163.800,163.800,-77.750,-77.750) |
geographic |
Geodetic Glacier |
geographic_facet |
Geodetic Glacier |
genre |
glacier Alaska |
genre_facet |
glacier Alaska |
op_source |
Remote Sensing, Vol 12, Iss 3917, p 3917 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/23/3917 https://doaj.org/toc/2072-4292 doi:10.3390/rs12233917 2072-4292 https://doaj.org/article/dfb6e8cd374e4a6c818b200f7acdaa5f |
op_doi |
https://doi.org/10.3390/rs12233917 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
23 |
container_start_page |
3917 |
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1766008407172579328 |