caa a22 4500 467936064 CHVBK 20180406152957.0 cr unu---uuuuu 170328e20060501xx s 000 0 eng 10.1007/s11069-005-8637-x doi (NATIONALLICENCE)springer-10.1007/s11069-005-8637-x Potential of High-Resolution Satellite Data in the Context of Vulnerability of Buildings [Elektronische Daten] [Marina Mueller, Karl Segl, Uta Heiden, Hermann Kaufmann] High-resolution space-borne remote sensing data are investigated for their potential to extract relevant parameters for a vulnerability analysis of buildings in European countries. For an evaluation of large earthquake scenarios, the number of parameters in models for vulnerability is reduced to a minimum of relevant information such as the type of building (age, material, number of storeys) and the geological and spatial context. Building-related parameters can be derived from remote sensing data either directly (e.g. height) or indirectly based on the recognition of the urban structure type in which the buildings are located. With the potential of a fully- or semi-automatic inventory of the buildings and their parameters, high-resolution satellite data and techniques for their processing are a useful supporting tool for the assessment of vulnerability. Springer, 2006 vulnerability of buildings nationallicence inventory of building stock nationallicence IKONOS nationallicence QuickBird nationallicence remote sensing nationallicence Mueller Marina Institute of Photogrammetry and Remote Sensing (IPF), University of Karlsruhe, Englerstraße 7, D-76128, Karlsruhe, Germany aut Segl Karl Department 1- Geodesy and Remote Sensing, Section 1.4 - Remote Sensing, GeoForschungsZentrum Potsdam, Telegrafenberg, D-14473, Potsdam, Germany aut Heiden Uta Dept. of Environment and Geoinformation, German Remote Sensing Data Center (DLR-DFD), Oberpfaffenhofen, D-82234, Weßling, Germany aut Kaufmann Hermann Department 1- Geodesy and Remote Sensing, Section 1.4 - Remote Sensing, GeoForschungsZentrum Potsdam, Telegrafenberg, D-14473, Potsdam, Germany aut Natural Hazards Kluwer Academic Publishers 38/1-2(2006-05-01), 247-258 0921-030X 38:1-2<247 2006 38 11069 https://doi.org/10.1007/s11069-005-8637-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11069-005-8637-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mueller Marina Institute of Photogrammetry and Remote Sensing (IPF), University of Karlsruhe, Englerstraße 7, D-76128, Karlsruhe, Germany aut NATIONALLICENCE 700 1- Segl Karl Department 1- Geodesy and Remote Sensing, Section 1.4 - Remote Sensing, GeoForschungsZentrum Potsdam, Telegrafenberg, D-14473, Potsdam, Germany aut NATIONALLICENCE 700 1- Heiden Uta Dept. of Environment and Geoinformation, German Remote Sensing Data Center (DLR-DFD), Oberpfaffenhofen, D-82234, Weßling, Germany aut NATIONALLICENCE 700 1- Kaufmann Hermann Department 1- Geodesy and Remote Sensing, Section 1.4 - Remote Sensing, GeoForschungsZentrum Potsdam, Telegrafenberg, D-14473, Potsdam, Germany aut NATIONALLICENCE 773 0- Natural Hazards Kluwer Academic Publishers 38/1-2(2006-05-01), 247-258 0921-030X 38:1-2<247 2006 38 11069 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer