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| Titel |
Assessment of HRSC Digital Terrain Models Produced for the South Polar Residual Cap |
| VerfasserIn |
Alfiah Rizky Diana Putri, Panagiotis Sidiropoulos, Jan-Peter Muller |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250153432
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| Publikation (Nr.) |
 EGU/EGU2017-18406.pdf |
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| Zusammenfassung |
| The current Digital Terrain Models available for Mars consist of NASA MOLA (Mars Orbital Laser Altimeter)
Digital Terrain Models with an average resolution of 112 m/ pixel (512 pixels/degree) for the polar region. The
ESA/DLR High Resolution Stereo Camera is currently orbiting Mars and mapping its surface, 98% with resolution
of ≤100 m/pixel and better and 100% at lower resolution [1]. It is possible to produce Digital Terrain Models from
HRSC images using various methods. In this study, the method developed on Kim and Muller [2] which uses the
VICAR open source program together with photogrammetry sofrware from DLR (Deutschen Zentrums für Luft-
und Raumfahrt) with image matching based on the GOTCHA (Gruen-Otto-Chau) algorithm [3].
Digital Terrain Models have been processed over the South Pole with emphasis on areas around South Polar
Residual Cap from High Resolution Stereo Camera images [4]. Digital Terrain Models have been produced for 31
orbits out of 149 polar orbits available. This study analyses the quality of the DTMs including an assessment of accuracy of elevations using the MOLA MEGDR (Mission Experiment Gridded Data Records) which has roughly 42 million MOLA PEDR (Precision Experiment Data Records) points between latitudes of 78 o -90 o S. The issues encountered in the production of Digital Terrain Models will be described and the statistical results and assessment method will be presented. The resultant DTMs will be accessible via http://i-Mars.eu/web-GIS
References:
[1] Neukum, G. et. al, 2004. Mars Express: The Scientific Payload pp. 17–35. [2] Kim, J.-R. and J.-P. Muller.
2009. PSS vol. 57, pp. 2095–2112. [3] Shin, D. and J.-P. Muller. 2012. Pattern Recognition, 45(10), 3795 -3809.
[4] Putri, A.R. D., et al., Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 463-469
Acknowledgements: The research leading to these results has received partial funding from the STFC “MSSL Consolidated Grant” ST/K000977/1 and partial support from the European Union’s Seventh Framework Programme (FP7/2007-2013) under iMars grant agreement n ˚ 607379. The first author would like to acknowledge support for her studies from Indonesia Endowment Fund for Education (LPDP), Ministry of Finance, Republic of Indonesia.
The authors would also like to thank Alexander Dumke (Freie Universitaet Berlin) for providing the EXTORI exterior orientation elements which were critical in the production of accuracy geolocations. |
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