DISFLOOD
The Disaster Information System for Large-Scale Flood Events Using Earth
Observation (DISFLOOD) project is a platform for multi-disciplinary and
multi-institutional research. DISFLOOD is a pilot study that combines
different methods such as remote sensing and hydraulic hazard models
with social and socio-ecological vulnerability indicators.
The overall objective of DISFLOOD is the development of a Disaster
Information System (DIS) providing a multi-disciplinary flood risk
assessment for Germany. In different work packages techniques and
methods are identified that (1) facilitate the assessment of
vulnerability, (2) create large-scale flood event sets and (3) derive
flood hazard maps from remote sensing data. Maps and information will be
provided in a Geographical Information System (GIS) and are supposed to
contribute to disaster risk reduction. The combination and integration
of methods from social and natural science are the main challenge in
this project, but are necessary to enhance an integrative risk
assessment. DISFLOOD works on a regional scale and seeks to provide data
and methods that can be applied for whole Germany.
The project is conducted in cooperation with the German Aerospace Centre
(Deutsches Luft- und Raumfahrtzentrum, DLR) as well as with the GeoForschungsZentrum Potsdam (GFZ) and financed by the Helmholtz Association.
Time Span
2005 - 2008
Key Goals
The objective of DISFLOOD is to provide a Disaster Information System
which offers valuable information on flood risk, vulnerability and
damage depending on different flood hazard scenarios. The information
system is realized in an interactive WebGIS format which is
implemented on the Helmholtz-EOS NaDiNe platform.
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Graduate Research Series vol. 3 by Marion Damm investigates the assessment of social-ecological vulnerability to flooding in Germany. The research was conducted within the scope of the Disaster Information System for Large-Scale Flood Events Using Earth Observation (DISFLOOD) project and presents an approach that allows mapping of vulnerability and risk at a regional level for all German river systems using indicators and Geographical Information Systems (GIS).
Marion Damm earned her PhD in Geography at the University of Bonn while conducting her research within the structure of UNU-EHS.
Graduate Research vol. 3
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Alexander Fekete examines in his dissertation how social vulnerability to river floods in Germany can be characterized and measured at sub-national scale. He focuses particularly on the question of how the abstract concept of social vulnerability can be operationalized in the context of flood risk in Germany and how respective indicators might help to identify different patterns of vulnerability.
Alexander Fekete earned his PhD in Geography at the
University of Bonn, while conducting his research within the structure
of UNU-EHS.
Graduate Research Series vol. 4
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