Integration of LiDAR and multispectral images for rapid exposure and earthquake vulnerability estimation. Application in Lorca, Spain

Torres, Yolanda Juan Arranz, Jose Gaspar-Escribano, Jorge M. Haghi, Azadeh Martinez-Cuevas, Sandra Benito, Belen Carlos Ojeda, Juan

International journal of applied earth observation and geoinformation2019，Vol.8115.DOI:10.1016/j.jag.2019.05.015

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NSTL
Elsevier

Integration of LiDAR and multispectral images for rapid exposure and earthquake vulnerability estimation. Application in Lorca, Spain

Torres, Yolanda ¹Juan Arranz, Jose ¹Gaspar-Escribano, Jorge M. ¹Haghi, Azadeh ¹Martinez-Cuevas, Sandra ¹Benito, Belen ¹Carlos Ojeda, Juan²

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作者信息

1. Univ Politecn Madrid, ETSI Topog Geodesia & Cartog, C Mercator 2, E-28040 Madrid, Spain
2. Direcc Gen Catastro, P Castellana 272, E-28046 Madrid, Spain
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Abstract

We present a procedure for assessing the urban exposure and seismic vulnerability that integrates LiDAR data with aerial images from the Spanish National Plan of Aerial Orthophotography (PNOA). It comprises three phases: first, we segment the satellite image to divide the study area into different urban patterns. Second, we extract building footprints and attributes that represent the type of building of each urban pattern. Finally, we assign the seismic vulnerability to each building using different machine-learning techniques: Decision trees, SVM, logistic regression and Bayesian networks.

Key words

LiDAR/Orthophoto/Machine learning/Exposure/Earthquake vulnerability

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出版年

2019

International journal of applied earth observation and geoinformation

SCI

ISSN：0303-2434

被引量8

参考文献量44

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