Paper
21 October 2014 An assessment of TanDEM-X GlobalDEM over rural and urban areas
Fifamè N. Koudogbo, Javier Duro, Martin Huber, Roberto Rudari, Andrew Eddy, Richard Lucas
Author Affiliations +
Proceedings Volume 9243, SAR Image Analysis, Modeling, and Techniques XIV; 92430M (2014) https://doi.org/10.1117/12.2067463
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands
Abstract
Digital Elevation Model (DEM) is a key input for the development of risk management systems. Main limitation of the current available DEM is the low level of resolution. DEMs such as STRM 90m or ASTER are globally available free of charge, but offer limited use, for example, to flood modelers in most geographic areas. TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement), the first bistatic SAR can fulfil this gap. The mission objective is the generation of a consistent global digital elevation model with an unprecedented accuracy according to the HRTI-3 (High Resolution Terrain Information) specifications. The mission opens a new era in risk assessment. In the framework of ALTAMIRA INFORMATION research activities, the DIAPASON (Differential Interferometric Automated Process Applied to Survey Of Nature) processing chain has been successfully adapted to TanDEM-X CoSSC (Coregistered Slant Range Single Look Complex) data processing. In this study the capability of CoSSC data for DEM generation is investigated. Within the on-going FP7 RASOR project (Rapid Analysis and Spatialisation and Of Risk), the generated DEM are compared with Intermediate DEM derived from the TanDEM-X first global coverage. The results are presented and discussed.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fifamè N. Koudogbo, Javier Duro, Martin Huber, Roberto Rudari, Andrew Eddy, and Richard Lucas "An assessment of TanDEM-X GlobalDEM over rural and urban areas", Proc. SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, 92430M (21 October 2014); https://doi.org/10.1117/12.2067463
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KEYWORDS
Synthetic aperture radar

LIDAR

Systems modeling

Interferometry

Data modeling

Data conversion

Data processing

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