GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMS
Volume change data is critical to the understanding of glacier response to climate change. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) system embarked on the Terra (EOS AM-1) satellite has been a unique source of systematic stereoscopic images covering the whole glob...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/489/2016/isprs-archives-XLI-B8-489-2016.pdf |
| _version_ | 1828376527184592896 |
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| author | L. Girod C. Nuth A. Kääb |
| author_facet | L. Girod C. Nuth A. Kääb |
| author_sort | L. Girod |
| collection | DOAJ |
| description | Volume change data is critical to the understanding of glacier response to climate change. The Advanced Spaceborne Thermal Emission
and Reflection Radiometer (ASTER) system embarked on the Terra (EOS AM-1) satellite has been a unique source of systematic
stereoscopic images covering the whole globe at 15m resolution and at a consistent quality for over 15 years. While satellite stereo
sensors with significantly improved radiometric and spatial resolution are available to date, the potential of ASTER data lies in its long
consistent time series that is unrivaled, though not fully exploited for change analysis due to lack of data accuracy and precision. Here,
we developed an improved method for ASTER DEM generation and implemented it in the open source photogrammetric library and
software suite MicMac. The method relies on the computation of a rational polynomial coefficients (RPC) model and the detection
and correction of cross-track sensor jitter in order to compute DEMs. ASTER data are strongly affected by attitude jitter, mainly of
approximately 4 km and 30 km wavelength, and improving the generation of ASTER DEMs requires removal of this effect. Our sensor
modeling does not require ground control points and allows thus potentially for the automatic processing of large data volumes.
<br><br>
As a proof of concept, we chose a set of glaciers with reference DEMs available to assess the quality of our measurements. We use time
series of ASTER scenes from which we extracted DEMs with a ground sampling distance of 15m. Our method directly measures and
accounts for the cross-track component of jitter so that the resulting DEMs are not contaminated by this process. Since the along-track
component of jitter has the same direction as the stereo parallaxes, the two cannot be separated and the elevations extracted are thus
contaminated by along-track jitter. Initial tests reveal no clear relation between the cross-track and along-track components so that the
latter seems not to be easily modeled analytically from the first one. We thus remove the remaining along-track jitter effects in the
DEMs statistically through temporal DEM stacks to finally compute the glacier volume changes over time. Our method yields cleaner
and spatially more complete elevation data, which also proved to be more in accordance to reference DEMs, compared to NASA’s
AST14DMO DEM standard products.
<br><br>
The quality of the demonstrated measurements promises to further unlock the underused potential of ASTER DEMs for glacier volume
change time series on a global scale. The data produced by our method will help to better understand the response of glaciers to climate
change and their influence on runoff and sea level. |
| first_indexed | 2024-04-14T08:02:17Z |
| format | Article |
| id | doaj.art-9e106136a3224f40858b551b89b8ad7c |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-14T08:02:17Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-9e106136a3224f40858b551b89b8ad7c2022-12-22T02:04:52ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B848949410.5194/isprs-archives-XLI-B8-489-2016GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMSL. Girod0C. Nuth1A. Kääb2Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, NorwayVolume change data is critical to the understanding of glacier response to climate change. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) system embarked on the Terra (EOS AM-1) satellite has been a unique source of systematic stereoscopic images covering the whole globe at 15m resolution and at a consistent quality for over 15 years. While satellite stereo sensors with significantly improved radiometric and spatial resolution are available to date, the potential of ASTER data lies in its long consistent time series that is unrivaled, though not fully exploited for change analysis due to lack of data accuracy and precision. Here, we developed an improved method for ASTER DEM generation and implemented it in the open source photogrammetric library and software suite MicMac. The method relies on the computation of a rational polynomial coefficients (RPC) model and the detection and correction of cross-track sensor jitter in order to compute DEMs. ASTER data are strongly affected by attitude jitter, mainly of approximately 4 km and 30 km wavelength, and improving the generation of ASTER DEMs requires removal of this effect. Our sensor modeling does not require ground control points and allows thus potentially for the automatic processing of large data volumes. <br><br> As a proof of concept, we chose a set of glaciers with reference DEMs available to assess the quality of our measurements. We use time series of ASTER scenes from which we extracted DEMs with a ground sampling distance of 15m. Our method directly measures and accounts for the cross-track component of jitter so that the resulting DEMs are not contaminated by this process. Since the along-track component of jitter has the same direction as the stereo parallaxes, the two cannot be separated and the elevations extracted are thus contaminated by along-track jitter. Initial tests reveal no clear relation between the cross-track and along-track components so that the latter seems not to be easily modeled analytically from the first one. We thus remove the remaining along-track jitter effects in the DEMs statistically through temporal DEM stacks to finally compute the glacier volume changes over time. Our method yields cleaner and spatially more complete elevation data, which also proved to be more in accordance to reference DEMs, compared to NASA’s AST14DMO DEM standard products. <br><br> The quality of the demonstrated measurements promises to further unlock the underused potential of ASTER DEMs for glacier volume change time series on a global scale. The data produced by our method will help to better understand the response of glaciers to climate change and their influence on runoff and sea level.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/489/2016/isprs-archives-XLI-B8-489-2016.pdf |
| spellingShingle | L. Girod C. Nuth A. Kääb GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMS |
| title_full | GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMS |
| title_fullStr | GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMS |
| title_full_unstemmed | GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMS |
| title_short | GLACIER VOLUME CHANGE ESTIMATION USING TIME SERIES OF IMPROVED ASTER DEMS |
| title_sort | glacier volume change estimation using time series of improved aster dems |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/489/2016/isprs-archives-XLI-B8-489-2016.pdf |
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