Mathematisch-Naturwissenschaftliche Fakultät - Geographisches Institut


Brill, F.; Schlaffer, S.; Martinis, S.; Schröter, K.; Kreibich, H. Extrapolating Satellite-Based Flood Masks by One-Class Classification—A Test Case in Houston. Remote Sensing. 2021, 13, 2042.

Farrag, M.; Brill, F.; Nguyen, D.V.; Sairam, N.; Schröter, K.; Kreibich, H.; Merz, B.; de Brujin, K.M.; Vorogushyn, S. On the role of floodplain storage and hydrodynamic interactions for flood risk estimation. Hydrological Sciences Journal 2022.

Gomez-Zapata, J.C.; Parrado, C.; Frimberger, T.; Barragán-Ochoa, F.; Brill, F.; Büche, K.; Krautblatter, M.; Langbein, M.; Pittore, M.; Rosero-Velásquez, H.; Schoepfer, E.; Spahn, H.; Zapata-Tapia, C. Community Perception and Communication of Volcanic Risk from the Cotopaxi Volcano in Latacunga, Ecuador. Sustainability 2021, 13, 1714.

Sairam, N.; Brill, F.; Sieg, T.; Kellermann, P.; Schröter, K.; Nguyen, D.V.; Merz, B.; Lüdtke, S.; Farrag, M.; Vorogushyn, S.; Kreibich, H. Process-based flood risk assessment for Germany. Earth’s Future, 9, e2021EF002259.

Brill, F.; Passuni Pineda, S.; Espichán Cuya, B.; Kreibich, H. A data-mining approach towards damage modelling for El Niño events in Peru. Geomatics, Natural Hazards and Risk, 2020, 11:1, 1966-1990, DOI: 10.1080/19475705.2020.1818636

Sairam, N.; Schröter, K.; Carisi, F.; Wagenaar, D.; Domeneghetti, A.; Molinari, D.; Brill, F.; Priest, S.; Viavattene, C.; Merz, B.; Kreibich, H. Bayesian Data-Driven approach enhances synthetic flood loss models. Environmental Modelling & Software. 2020, 132, 104798, ISSN 1364-8152,