Prof. Dr.-Ing. Angela Blanco-Vogt

Geod?tisches Landmanagement/Geoinformatik

Prof. Dr.-Ing. Angela Blanco-Vogt
Studienbereich:
Vermessung
Studieng?nge:
澳门太阳城赌城,菠菜导航网 Vermessung und Geoinformatik
澳门太阳城赌城,菠菜导航网 Photogrammetry and Geoinformatics
澳门太阳城赌城,菠菜导航网 Smart City Solutions
E-Mail:
angela.blanco-vogt@hft-stuttgart.de
Telefon:
+49 711 8926 2693
Büro:
2/113

Ver?ffentlichungen

  • Blanco-Vogt, A., Schanze, J. (2013)

    Conceptual and methodological frameworks for large scale and high resolution analysis of the physical flood vulnerability of buildings. In: Klijn, F.; Schweckendiek, T. (Eds.): Comprehensive flood risk management – research for policy and practice. Proceedings of the 2nd European Conference on Flood Risk Management FLOODrisk2012, Rotterdam, The Netherlands, 19-23 November 2012. Boca Raton [u.a.]: CRC Press, 2013, pp.148-150."

  • Blanco-Vogt, A., Haala, N. and Schanze, J. (2013)

    Building extraction from remote sensing data for parameterising a building typology: a contribution to flood vulnerability assessment. Proceedings of the JURSE Conference, Sao Paulo, 21-23 April 2013. pp. 147-150.

  • Blanco-Vogt, A., Schanze, J. (2014)

    Assessment of the physical flood susceptibility of buildings on a large scale – conceptual and methodological frameworks. In: Natural Hazards and Earth System Sciences 14. 8, S.2105-2117. DOI: 10.5194/nhess-14-2105-2014

  • Blanco-Vogt, A, Haala, N. and Schanze, J. (2014)

    Building parameters extraction from remote sensing data and GIS analysis for the derivation of a building taxonomy of settlements – a contribution to flood building’s susceptibility assessment. In: International Journal of Image and Data Fusion. http://dx.doi.org/10.1080/19479832.2014.926296

  • Blanco-Vogt, ?. (2016)

    Methodology for high resolution spatial analysis of the physical flood susceptibility of buildings in large river floodplains. Dissertation. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-201193

Weiteres

Lecturer at the University of Stuttgart. Lecture: Evaluation and visualisation of air quality data using Geographic information system. Programme WASTE at the Institute for Combustion and Power Plant Technology.