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Marc Wieland

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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359

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Scholarly Papers (2)

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1.

The Fully-Automatic Sentinel-1 Global Flood Monitoring Service: Scientific Challenges and Future Directions

Number of pages: 76 Posted: 25 Jan 2025
Wolfgang Wagner, Bernhard Bauer-Marschallinger, Florian Roth, Tobias Stachl, Christoph Reimer, Niall McCormick, Patrick Matgen, Marco Chini, Yu Li, Sandro Martinis, Marc Wieland, Franziska Kraft, Davide Festa, Muhammed Hassaan, Mark Edwin Tupas, Jie Zhao, Michaela Seewald, Michael Riffler, Luca Molini, Richard Kidd, Christian Briese and Peter Salamon
Vienna University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Vienna University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Independent, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Joint Research Center of the European Commission
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Flood monitoring, Inland water, Sentinel-1, SAR, Datacube, Copernicus

2.

How accurate is accurate enough? Assessing the influence of exposure data quality on tsunami damage modelling using the 2011 Tōhoku tsunami

Number of pages: 30 Posted: 16 Jul 2026
Christian Geiβ, Miyo-Maria Haug, Marc Wieland, Bruno Adriano, Patrick Aravena Pelizari, Hannes Taubenböck and Shunichi Koshimura
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Tohoku University, affiliation not provided to SSRN, German Aerospace Center (DLR) and Tohoku University
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tsunami risk, exposure data, fragility functions, damage modelling, disaster risk science, Tōhoku tsunami