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...

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Published in:The Cryosphere
Main Authors: Nuth, C., Kääb, A.
Format: Article in Journal/Newspaper
Language:unknown
Published: European Geosciences Union 2011
Subjects:
Online Access:https://doi.org/10.5194/tc-5-271-2011
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spelling ftcaltechauth:oai:authors.library.caltech.edu:g1pfp-8vp48 2024-09-15T18:07:58+00:00 Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change Nuth, C. Kääb, A. 2011-03-29 https://doi.org/10.5194/tc-5-271-2011 unknown European Geosciences Union https://doi.org/10.5194/tc-5-271-2011 oai:authors.library.caltech.edu:g1pfp-8vp48 eprintid:65085 resolverid:CaltechAUTHORS:20160304-153046623 info:eu-repo/semantics/openAccess Other The Cryosphere, 5(1), 271-290, (2011-03-29) info:eu-repo/semantics/article 2011 ftcaltechauth https://doi.org/10.5194/tc-5-271-2011 2024-08-06T15:34:58Z 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. © Author(s) 2011. This work is distributed under the Creative Commons Attribution 3.0 License. Received: 28 September 2010 – Published in The Cryosphere Discuss.: 13 October 2010. Revised: 25 February 2011 – Accepted: 22 March 2011 – Published: ... Article in Journal/Newspaper glacier Svalbard The Cryosphere Caltech Authors (California Institute of Technology) The Cryosphere 5 1 271 290
institution Open Polar
collection Caltech Authors (California Institute of Technology)
op_collection_id ftcaltechauth
language unknown
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. © Author(s) 2011. This work is distributed under the Creative Commons Attribution 3.0 License. Received: 28 September 2010 – Published in The Cryosphere Discuss.: 13 October 2010. Revised: 25 February 2011 – Accepted: 22 March 2011 – Published: ...
format Article in Journal/Newspaper
author Nuth, C.
Kääb, A.
spellingShingle Nuth, C.
Kääb, A.
Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change
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 European Geosciences Union
publishDate 2011
url https://doi.org/10.5194/tc-5-271-2011
genre glacier
Svalbard
The Cryosphere
genre_facet glacier
Svalbard
The Cryosphere
op_source The Cryosphere, 5(1), 271-290, (2011-03-29)
op_relation https://doi.org/10.5194/tc-5-271-2011
oai:authors.library.caltech.edu:g1pfp-8vp48
eprintid:65085
resolverid:CaltechAUTHORS:20160304-153046623
op_rights info:eu-repo/semantics/openAccess
Other
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
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