Remote sensing techniques applied to seismic vulnerability assessment

Arranz Justel, José Juan and Torres Fernández, Yolanda and Haghi, Azadeh and Gaspar Escribano, Jorge M. (2016). Remote sensing techniques applied to seismic vulnerability assessment. In: "EGU General Assembly 2016", 17–22 Abril 2016.

Description

Title: Remote sensing techniques applied to seismic vulnerability assessment
Author/s:
  • Arranz Justel, José Juan
  • Torres Fernández, Yolanda
  • Haghi, Azadeh
  • Gaspar Escribano, Jorge M.
Item Type: Presentation at Congress or Conference (Poster)
Event Title: EGU General Assembly 2016
Event Dates: 17–22 Abril 2016
Title of Book: Geophysical Research Abstracts
Date: 18 April 2016
Subjects:
Faculty: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Department: Ingeniería Cartográfica y Topografía
Creative Commons Licenses: Recognition

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Abstract

Advances in remote sensing and photogrammetry techniques have increased the degree of accuracy and resolution in the record of the earth’s surface. This has expanded the range of possible applications of these data. In this research, we have used these data to document the construction characteristics of the urban environment of Lorca, Spain. An exposure database has been created with the gathered information to be used in seismic vulnerability assessment. To this end, we have used data from photogrammetric flights at different periods, using both orthorectified images in the visible and infrared spectrum. Furthermore, the analysis is completed using LiDAR data. From the combination of these data, it has been possible to delineate the building footprints and characterize the constructions with attributes such as the approximate date of construction, area, type of roof and even building materials. To carry out the calculation, we have developed different algorithms to compare images from different times, segment images, classify LiDAR data, and use the infrared data in order to remove vegetation or to compute roof surfaces with height value, tilt and spectral fingerprint. In addition, the accuracy of our results has been validated with ground truth data. This work is developed in the context of the MERISUR project (ref. CGL2013-40492-R), with funding from the Spanish Ministry of Economy and Competitiveness.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainCGL2013-40492-RMERISURJorge M. Gaspar EscribanoMetodología para la Evaluación Efectiva del Riesgo Sísmico Urbano

More information

Item ID: 49784
DC Identifier: http://oa.upm.es/49784/
OAI Identifier: oai:oa.upm.es:49784
Deposited by: Dr Jorge Gaspar Escribano
Deposited on: 16 Mar 2018 09:05
Last Modified: 16 Mar 2018 09:05
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