Sensitivity of glacier volume change estimation to DEM void interpolation
Glacier mass balance has been estimated on individual glacier and regional scales using repeat digital elevation models (DEMs). DEMs often have gaps in coverage (“voids”), the properties of which depend on the nature of the sensor used and the surface being measured. The way that these voids are acc...
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ftdoajarticles:oai:doaj.org/article:b6de943033f944a7910d44efe18e26cb 2023-05-15T16:20:28+02:00 Sensitivity of glacier volume change estimation to DEM void interpolation R. McNabb C. Nuth A. Kääb L. Girod 2019-03-01T00:00:00Z https://doi.org/10.5194/tc-13-895-2019 https://doaj.org/article/b6de943033f944a7910d44efe18e26cb EN eng Copernicus Publications https://www.the-cryosphere.net/13/895/2019/tc-13-895-2019.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-13-895-2019 1994-0416 1994-0424 https://doaj.org/article/b6de943033f944a7910d44efe18e26cb The Cryosphere, Vol 13, Pp 895-910 (2019) Environmental sciences GE1-350 Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/tc-13-895-2019 2022-12-30T23:08:48Z Glacier mass balance has been estimated on individual glacier and regional scales using repeat digital elevation models (DEMs). DEMs often have gaps in coverage (“voids”), the properties of which depend on the nature of the sensor used and the surface being measured. The way that these voids are accounted for has a direct impact on the estimate of geodetic glacier mass balance, though a systematic comparison of different proposed methods has been heretofore lacking. In this study, we determine the impact and sensitivity of void interpolation methods on estimates of volume change. Using two spatially complete, high-resolution DEMs over southeast Alaska, USA, we artificially generate voids in one of the DEMs using correlation values derived from photogrammetric processing of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scenes. We then compare 11 different void interpolation methods on a glacier-by-glacier and regional basis. We find that a few methods introduce biases of up to 20 % in the regional results, while other methods give results very close ( <1 % difference) to the true, non-voided volume change estimates. By comparing results from a few of the best-performing methods, an estimate of the uncertainty introduced by interpolating voids can be obtained. Finally, by increasing the number of voids, we show that with these best-performing methods, reliable estimates of glacier-wide volume change can be obtained, even with sparse DEM coverage. Article in Journal/Newspaper glacier The Cryosphere Alaska Directory of Open Access Journals: DOAJ Articles Geodetic Glacier ENVELOPE(163.800,163.800,-77.750,-77.750) The Cryosphere 13 3 895 910 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 R. McNabb C. Nuth A. Kääb L. Girod Sensitivity of glacier volume change estimation to DEM void interpolation |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Glacier mass balance has been estimated on individual glacier and regional scales using repeat digital elevation models (DEMs). DEMs often have gaps in coverage (“voids”), the properties of which depend on the nature of the sensor used and the surface being measured. The way that these voids are accounted for has a direct impact on the estimate of geodetic glacier mass balance, though a systematic comparison of different proposed methods has been heretofore lacking. In this study, we determine the impact and sensitivity of void interpolation methods on estimates of volume change. Using two spatially complete, high-resolution DEMs over southeast Alaska, USA, we artificially generate voids in one of the DEMs using correlation values derived from photogrammetric processing of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) scenes. We then compare 11 different void interpolation methods on a glacier-by-glacier and regional basis. We find that a few methods introduce biases of up to 20 % in the regional results, while other methods give results very close ( <1 % difference) to the true, non-voided volume change estimates. By comparing results from a few of the best-performing methods, an estimate of the uncertainty introduced by interpolating voids can be obtained. Finally, by increasing the number of voids, we show that with these best-performing methods, reliable estimates of glacier-wide volume change can be obtained, even with sparse DEM coverage. |
format |
Article in Journal/Newspaper |
author |
R. McNabb C. Nuth A. Kääb L. Girod |
author_facet |
R. McNabb C. Nuth A. Kääb L. Girod |
author_sort |
R. McNabb |
title |
Sensitivity of glacier volume change estimation to DEM void interpolation |
title_short |
Sensitivity of glacier volume change estimation to DEM void interpolation |
title_full |
Sensitivity of glacier volume change estimation to DEM void interpolation |
title_fullStr |
Sensitivity of glacier volume change estimation to DEM void interpolation |
title_full_unstemmed |
Sensitivity of glacier volume change estimation to DEM void interpolation |
title_sort |
sensitivity of glacier volume change estimation to dem void interpolation |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/tc-13-895-2019 https://doaj.org/article/b6de943033f944a7910d44efe18e26cb |
long_lat |
ENVELOPE(163.800,163.800,-77.750,-77.750) |
geographic |
Geodetic Glacier |
geographic_facet |
Geodetic Glacier |
genre |
glacier The Cryosphere Alaska |
genre_facet |
glacier The Cryosphere Alaska |
op_source |
The Cryosphere, Vol 13, Pp 895-910 (2019) |
op_relation |
https://www.the-cryosphere.net/13/895/2019/tc-13-895-2019.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-13-895-2019 1994-0416 1994-0424 https://doaj.org/article/b6de943033f944a7910d44efe18e26cb |
op_doi |
https://doi.org/10.5194/tc-13-895-2019 |
container_title |
The Cryosphere |
container_volume |
13 |
container_issue |
3 |
container_start_page |
895 |
op_container_end_page |
910 |
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1766008388605444096 |