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Summary of Proposal LAN0634

TitleEvaluation of DEM derived from TerraSAR-X data
Investigator Sörgel, Uwe - Universität Stuttgart, Institut für Photogrammetrie
Team Member
Dr. Crosetto, Michele - Institute of Geomatics, Institute of Geomatics
Prof Gamba, Paolo - University of Pavia, Department of Electronics
Prof. Bruzzone, Lorenzo - University of Trento, Remote sensing Lab
Prof. Crespi, Mattia - Universita di Roma "La Sapienza", Dipartimento di Idraulica
Prof. Pascazio, Vito - University of Naples Parthenope, Dipartimento per le Tecnologie
Dr. Dehls, John - Alberta Geological Survey,
Raggam, Hannes - Joanneum research Forschungsgesellschaft mbH, Institute of Digital Image Processing
Mouratidis, Antonios - Aristotle University of Thessaloniki, School of Geology
Bargiel, Damian - TU Darmstadt, Institut für Geodäsie
Dana, Lulia Florentina - Romanian Space Agency,
Sefercik, Umut Gunes - Zonguldak Karaelmas University, Department of Geodesy and Photogrammetry Engineering
SummaryOne main application of SAR is the generation of Digital Elevation Models (DEM). The Shuttle Radar topography Mission (SRTM, 2000) is widely considered to be the most successful SAR mission up to date. The DEM of almost global coverage derived from data gathered during this mission are still used as elevation model for many applications in various fields such as geoscience and civil engineering. However, the spatial grid of the DEM is about 30 m or 90 m, which hinders detail analysis. The same problem applies for the most recently released ASTER Global Digital Elevation Model, (ASTER GDEM, 2009: www.gdem.aster.ersdac.or.jp/index.jsp), which may be improved in terms of global coverage (99% of the globe), but its spatial resolution is still at the 30m level. The advent of high resolution SAR sensors like TerraSAR-X (TSX) offers the opportunity to derive DEM of more detail, at least for certain kinds of terrain. In this project the potential of TSX for DEM generation by different techniques shall be investigated. The elevation of objects in the scene can be derived in several ways from SAR imagery that can be sorted roughly into two groups: one takes the signal phase into account (SAR Interferometry), the other relies on the magnitude (Radargrammetry, e.g., stereo). The participants of the project shall carry out the DEM generation by those mentioned techniques and compare the product with ground truth data of high accuracy provided by their own. Furthermore, in the case SRTM data of the scene exists it is also interesting to compare the pros and cons of DEM from TSX and SRTM. As soon as products of the TanDEM phase are available it is planned to also validate those by comparison with the same ground truth. Funding will be provided by using the regular staff, software and computers of the institutes.

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