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2007
Meyer, V., Haase, D., Scheuer, S., 2007. GIS-based multicriteria analysis as decision support in flood risk management. UFZ-Diskussionspapiere, 6/2017. Leipzig.
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2009
Kubal, C., Haase, D., Meyer, V., Scheuer, S., 2009. Integrated urban flood risk assessment – adapting a multicriteria approach to a city. Natural Hazards and Earth System Sciences, 9, 1881–1895.
Meyer, V., Haase, D., Scheuer, S., 2009. Flood risk assessment in European river basins—concept, methods, and challenges exemplified at the Mulde river. Integrated Environmental Assessment and Management, 5(1), 17–26.
Meyer, V., Scheuer, S., Haase, D., 2009. A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany. Natural Hazards, 48, 17–39.
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2011
Haase, D., Meyer, V., Scheuer, S., 2011. Exploring multicriteria flood vulnerability by integrating flood risk and coping capacity - from a starting point view towards an end point view of vulnerability. EGU General Assembly 2011, Vienna, April 3-8.
Scheuer, S., Haase, D., Meyer, V., 2011. Introducing a semantically-enabled, ontology-supported software tool for the multicriteria, multidimensional assessment of natural hazard risk. EGU General Assembly 2011, Vienna, April 3-8.
Scheuer, S., Haase, D., Meyer, V., 2011. Exploring multicriteria flood vulnerability by integrating economic, social and ecological dimensions of flood risk and coping capacity: from a starting point view towards an end point view of vulnerability. Natural Hazards, 58, 731–751.
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2012
Luther, J., Meyer, V., Kuhlicke, C., Scheuer, S., Unnerstall, H., 2012. Improving Flood Risk Maps as a Capacity Building Activity: Fostering Public Participation and Raising Flood Risk Awareness in the German Mulde Region (project RISK MAP). EGU General Assembly 2012, Vienna, April 22-27.
Meyer, V., Kuhlicke, C., Luther, J., Fuchs, S., Priest, S., Dorner, W., Serrhini, K., Pardoe, J., McCarthy, S., Seidel, J., Palka, G., Unnerstall, H., Viavattene, C., Scheuer, S., 2012. Recommendations for the user-specific enhancement of flood maps. Natural Hazards and Earth System Sciences, 12(5), 1701–1716.
Scheuer, S., Haase, D., 2012. Operationalizing expert knowledge and stakeholder preferences in integrated natural hazard risk assessment. International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany, July 1-5.
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2013
Scheuer, S., Haase, D., Meyer, V., 2013. Towards a flood risk assessment ontology – Knowledge integration into a multi-criteria risk assessment approach. Computers, Environment and Urban Systems, 37, 82–94.
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2016
Langemeyer, J., Gómez-Baggethun, E., Haase, D., Scheuer, S., Elmqvist, T., 2016. Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA). Environmental Science and Policy, 62, 45–56.
Scheuer, S., Haase, D., Volk., M., 2016. On the Nexus of the Spatial Dynamics of Global Urbanization and the Age of the City. PLoS ONE, 11(8), e0160471.
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2017
Scheuer, S., Haase, D., Volk, M., 2017. Integrative assessment of climate change for fast-growing urban areas: Measurement and recommendations for future research. PLoS ONE, 12(12), e0189451.
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2018
Scheuer, S., Haase, D., Kabisch, N., Wolff, M., Haase, A., Schwarz, N., Großmann, K., 2018. Combining tacit knowledge elicitation with the SilverKnETs tool and random forests - The example of residential housing choices in Leipzig. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808318777500.
Scheuer, S., Haase, D., Volk, M., 2018. Integrative assessment of 20th century climate change observations: Identifying needs and barriers in adaptation to climate change-related hazards in urban areas. EGU General Assembly 2018, Vienna, April 8-13.
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2019
Scheuer, S., Wellmann, T., Haase, D., Wolff, M., Haase, A., 2019.
Assessing trends in future exposure and vulnerability of population to natural hazards based on tacit knowledge and data mining techniques. EGU General Assembly 2019, Vienna, April 7-12.Wellmann, T., Scheuer, S., Lausch, A., Haase, D., 2019. Modelling the distribution of 44 urban bird species using Earth observation based plant trait indicators and machine learning. EGU General Assembly 2019, Vienna, April 7-12.
Wolff, M, Scheuer, S., Haase, D., 2019. Looking beyond borders – revisiting the green space accessibility in urban Europe. CAT-ference 2019: 8th International Urban Geographies of Post-communist States Conference, Belgrade, September 25-29.
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2020
Wellmann, T., Lausch, A., Scheuer, S., Haase, D., 2020. Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting. Ecological Indicators, 111, 106029.