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What's exposed? Mapping elements at risk from space

Klotz, Martin and Wurm, Michael and Geiß, Christian and Taubenböck, Hannes (2014) What's exposed? Mapping elements at risk from space. In: EGU General Assembly (ISSN: 1474-7065). European Geosciences Union General Assembly 2014, 27. Apr. - 02. Mai 2014, Wien, Österreich. ISSN 1474-7065.

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The world has suffered from severe natural disasters over the last decennium. The earthquake in Haiti in 2010 or the typhoon “Haiyan” hitting the Philippines in 2013 are among the most prominent examples in recent years. Especially in developing countries, knowledge on amount, location or type of the exposed elements or people is often not given. (Geo)-data are mostly inaccurate, generalized, not up-to-date or even not available at all. Thus, fast and effective disaster management is often delayed until necessary geo-data allow an assessment of effected people, buildings, infrastructure and their respective locations. In the last decade, Earth observation data and methods have developed a product portfolio from low resolution land cover datasets to high resolution spatially accurate building inventories to classify elements at risk or even assess indirectly population densities. This presentation will give an overview on the current available products and EO-based capabilities from global to local scale. On global to regional scale, remote sensing derived geo-products help to approximate the inventory of elements at risk in their spatial extent and abundance by mapping and modelling approaches of land cover or related spatial attributes such as night-time illumination or fractions of impervious surfaces. The capabilities and limitations for mapping physical exposure will be discussed in detail using the example of DLR’s ‘Global Urban Footprint’ initiative. On local scale, the potential of remote sensing particularly lies in the generation of spatially and thematically accurate building inventories for the detailed analysis of the building stock’s physical exposure. Even vulnerability-related indicators can be derived. Indicators such as building footprint, height, shape characteristics, roof materials, location, and construction age and structure type have already been combined with civil engineering approaches to assess building stability for large areas. Especially last generation optical sensors – often in combination with digital surface models – featuring very high geometric resolutions are perceived as advantageous for operational applications, especially for small to medium scale urban areas. With regard to user-oriented product generation in the FP-7project SENSUM, a multi-scale and multi-source reference database has been set up to systematically screen available products – global to local ones – with regard to data availability in data-rich and data-poor countries. Thus, the higher ranking goal in this presentation is to provide a systematic overview on EO-based data sets and their individual capabilities and limitations with respect to spatial, temporal and thematic details to support decision-making in before, during and after natural disasters.

Item URL in elib:https://elib.dlr.de/89104/
Document Type:Conference or Workshop Item (Poster)
Title:What's exposed? Mapping elements at risk from space
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Klotz, Martinmartin.klotz (at) dlr.deUNSPECIFIED
Wurm, Michaelmichael.wurm (at) dlr.deUNSPECIFIED
Geiß, Christianchristian.geiss (at) dlr.deUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Date:29 April 2014
Journal or Publication Title:EGU General Assembly (ISSN: 1474-7065)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Keywords:Remote Sensing, Exposure, Natural Hazards, Land cover, 3D models
Event Title:European Geosciences Union General Assembly 2014
Event Location:Wien, Österreich
Event Type:international Conference
Event Dates:27. Apr. - 02. Mai 2014
Organizer:European Geoscience Union (EGU)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignment
DLR - Research theme (Project):V - no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Klotz, Martin
Deposited On:02 Jun 2014 15:39
Last Modified:31 Jul 2019 19:46

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