Maritime products using TerraSAR-X and sentinel-1 imagery
Lehner S, Tings B (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: International Society for Photogrammetry and Remote Sensing
Book Volume: 40
Pages Range: 967-973
Conference Proceedings Title: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Event location: Berlin, DEU
ISBN: 9780000000002
DOI: 10.5194/isprsarchives-XL-7-W3-967-2015
Abstract
High resolution remote sensing Synthetic Aperture Radar (SAR) data from TerraSAR-X/Tandem-X satellites are used to determine and monitor the sea surface in near real time and all weather and illumination conditions. The radar backscatter of the sea surface is determined by the sea surface roughness caused by the wind field and the sea state. These meteo parameters are modelled by the newly developed algorithms XMOD and XWAVE relating the wind field and sea state, depending on incidence angle and directionality to the radar backscatter sigma0. The TerraSAR-X Modes Stripmap, Scan SAR and Scan SAR Wide are used together with Sentinel and RADARSAT data to detect ships, oil spills and icebergs. The detectability depending on the background conditions is discussed. Several examples from near real time campaigns performed together with users are given.
Involved external institutions
Germany (DE)How to cite
APA:
Lehner, S., & Tings, B. (2015). Maritime products using TerraSAR-X and sentinel-1 imagery. In G. Schreier, P. E. Skrovseth, H. Staudenrausch (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (pp. 967-973). Berlin, DEU: International Society for Photogrammetry and Remote Sensing.
MLA:
Lehner, Susanne, and B. Tings. "Maritime products using TerraSAR-X and sentinel-1 imagery." Proceedings of the 2015 36th International Symposium on Remote Sensing of Environment, Berlin, DEU Ed. G. Schreier, P. E. Skrovseth, H. Staudenrausch, International Society for Photogrammetry and Remote Sensing, 2015. 967-973.
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