Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change
There are an increasing number of digital elevation models (DEMs) available worldwide for deriving elevation differences over time, including vertical changes on glaciers. Most of these DEMs are heavily post-processed or merged, so that physical error modelling becomes difficult and statistical erro...
Published in: | The Cryosphere |
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Language: | English |
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Copernicus Publications
2011
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00027603 2023-05-15T16:22:16+02:00 Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change Nuth, C. Kääb, A. 2011-03 electronic https://doi.org/10.5194/tc-5-271-2011 https://noa.gwlb.de/receive/cop_mods_00027603 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00027558/tc-5-271-2011.pdf https://tc.copernicus.org/articles/5/271/2011/tc-5-271-2011.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-5-271-2011 https://noa.gwlb.de/receive/cop_mods_00027603 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00027558/tc-5-271-2011.pdf https://tc.copernicus.org/articles/5/271/2011/tc-5-271-2011.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2011 ftnonlinearchiv https://doi.org/10.5194/tc-5-271-2011 2022-02-08T22:48:35Z There are an increasing number of digital elevation models (DEMs) available worldwide for deriving elevation differences over time, including vertical changes on glaciers. Most of these DEMs are heavily post-processed or merged, so that physical error modelling becomes difficult and statistical error modelling is required instead. We propose a three-step methodological framework for assessing and correcting DEMs to quantify glacier elevation changes: (i) remove DEM shifts, (ii) check for elevation-dependent biases, and (iii) check for higher-order, sensor-specific biases. A simple, analytic and robust method to co-register elevation data is presented in regions where stable terrain is either plentiful (case study New Zealand) or limited (case study Svalbard). The method is demonstrated using the three global elevation data sets available to date, SRTM, ICESat and the ASTER GDEM, and with automatically generated DEMs from satellite stereo instruments of ASTER and SPOT5-HRS. After 3-D co-registration, significant biases related to elevation were found in some of the stereoscopic DEMs. Biases related to the satellite acquisition geometry (along/cross track) were detected at two frequencies in the automatically generated ASTER DEMs. The higher frequency bias seems to be related to satellite jitter, most apparent in the back-looking pass of the satellite. The origins of the more significant lower frequency bias is uncertain. ICESat-derived elevations are found to be the most consistent globally available elevation data set available so far. Before performing regional-scale glacier elevation change studies or mosaicking DEMs from multiple individual tiles (e.g. ASTER GDEM), we recommend to co-register all elevation data to ICESat as a global vertical reference system. Article in Journal/Newspaper glacier Svalbard The Cryosphere Niedersächsisches Online-Archiv NOA New Zealand Svalbard The Cryosphere 5 1 271 290 |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Nuth, C. Kääb, A. Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change |
topic_facet |
article Verlagsveröffentlichung |
description |
There are an increasing number of digital elevation models (DEMs) available worldwide for deriving elevation differences over time, including vertical changes on glaciers. Most of these DEMs are heavily post-processed or merged, so that physical error modelling becomes difficult and statistical error modelling is required instead. We propose a three-step methodological framework for assessing and correcting DEMs to quantify glacier elevation changes: (i) remove DEM shifts, (ii) check for elevation-dependent biases, and (iii) check for higher-order, sensor-specific biases. A simple, analytic and robust method to co-register elevation data is presented in regions where stable terrain is either plentiful (case study New Zealand) or limited (case study Svalbard). The method is demonstrated using the three global elevation data sets available to date, SRTM, ICESat and the ASTER GDEM, and with automatically generated DEMs from satellite stereo instruments of ASTER and SPOT5-HRS. After 3-D co-registration, significant biases related to elevation were found in some of the stereoscopic DEMs. Biases related to the satellite acquisition geometry (along/cross track) were detected at two frequencies in the automatically generated ASTER DEMs. The higher frequency bias seems to be related to satellite jitter, most apparent in the back-looking pass of the satellite. The origins of the more significant lower frequency bias is uncertain. ICESat-derived elevations are found to be the most consistent globally available elevation data set available so far. Before performing regional-scale glacier elevation change studies or mosaicking DEMs from multiple individual tiles (e.g. ASTER GDEM), we recommend to co-register all elevation data to ICESat as a global vertical reference system. |
format |
Article in Journal/Newspaper |
author |
Nuth, C. Kääb, A. |
author_facet |
Nuth, C. Kääb, A. |
author_sort |
Nuth, C. |
title |
Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change |
title_short |
Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change |
title_full |
Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change |
title_fullStr |
Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change |
title_full_unstemmed |
Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change |
title_sort |
co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change |
publisher |
Copernicus Publications |
publishDate |
2011 |
url |
https://doi.org/10.5194/tc-5-271-2011 https://noa.gwlb.de/receive/cop_mods_00027603 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00027558/tc-5-271-2011.pdf https://tc.copernicus.org/articles/5/271/2011/tc-5-271-2011.pdf |
geographic |
New Zealand Svalbard |
geographic_facet |
New Zealand Svalbard |
genre |
glacier Svalbard The Cryosphere |
genre_facet |
glacier Svalbard The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-5-271-2011 https://noa.gwlb.de/receive/cop_mods_00027603 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00027558/tc-5-271-2011.pdf https://tc.copernicus.org/articles/5/271/2011/tc-5-271-2011.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-5-271-2011 |
container_title |
The Cryosphere |
container_volume |
5 |
container_issue |
1 |
container_start_page |
271 |
op_container_end_page |
290 |
_version_ |
1766010227246759936 |