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

Torres, Yolanda; Justel, José Juan Arranz; Gaspar‐Escribano, Jorge M.; Martínez-Cuevas, Sandra; Benito, B.; Ojeda, Juan Carlos

doi:10.1016/j.jag.2019.05.015

Cited by 29 publications

(27 citation statements)

References 28 publications

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“…Similarly, a testing dataset is compiled for validation in order to measure the accuracy of the method. 1 summarizes the materials and methods that we used in each particular city (Lorca [6] and Port-au-Prince). Although they are comparable, still important differences are identified.…”

Section: Methodsmentioning

confidence: 99%

“…Commonly, collecting housing and population data for city-level risk analysis is a cumbersome task, as it requires the management of numerous cadaster or census databases, if existent; or the compilation of new datasets through resource-consuming in-field surveys [5]. Thus, innovative procedures have been developed during the last decade that optimize resources to create and update natural risk databases in a time-and cost-effective manner [6]. These procedures (e.g., [7][8][9][10]) combine remote sensing data with other sources, such as existing cartography or web-based information, and expert knowledge to create building inventory databases.…”

Section: Introductionmentioning

confidence: 99%

“…This work is focused on the comparison of the methods that we used for characterizing the built stock of two earthquake-prone cities, namely Lorca (Spain) [6] and Port-au-Prince (Haiti). The goal is to test how the new methodologies for rapid exposure and vulnerability evaluation adapt to different scenarios.…”

Section: Introductionmentioning

confidence: 99%

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The New Methods for Rapid Exposure and Seismic Vulnerability Assessment. How Do They Adapt to Different Scenarios?

Torres

Justel

Martínez-Cuevas

et al. 2019

The II Geomatics Engineering Conference

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We present a procedure for exposure and vulnerability evaluation that integrates LiDAR, orthophotos, and other ancillary datasets. It comprises three phases: (1) city stratification into homogeneous regions; (2) exposure database compilation; and (3) vulnerability allocation using predictive modelling. We have conducted two applications in Lorca (Spain) and Port-au-Price (Haiti) and here we compare them. Each phase of the method is subject to variations due mainly to data availability; however, it does not affect the final accuracy that remains high in both scenarios (over 80%). It is a flexible procedure that is able to adapt to the particular features of two different cities.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The New Methods for Rapid Exposure and Seismic Vulnerability Assessment. How Do They Adapt to Different Scenarios?

Torres

Justel

Martínez-Cuevas

et al. 2019

The II Geomatics Engineering Conference

Self Cite

View full text Add to dashboard Cite

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“…In addition to the airborne sensors mentioned above, spaceborne sensors have also been recently implemented for multispectral sensing. In the study by Torres et al [36], sensors are mounted on a satellite to capture the multispectral images covering from visible to mid-infrared (MIR) wavelength range for earthquake vulnerability estimation.…”

Section: Environment Monitoringmentioning

confidence: 99%

Spectral imaging and spectral LIDAR systems: moving toward compact nanophotonics-based sensing

Wang

et al. 2021

Nanophotonics

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With the emerging trend of big data and internet-of-things, sensors with compact size, low cost and robust performance are highly desirable. Spectral imaging and spectral LIDAR systems enable measurement of spectral and 3D information of the ambient environment. These systems have been widely applied in different areas including environmental monitoring, autonomous driving, biomedical imaging, biometric identification, archaeology and art conservation. In this review, modern applications of state-of-the-art spectral imaging and spectral LIDAR systems in the past decade have been summarized and presented. Furthermore, the progress in the development of compact spectral imaging and LIDAR sensing systems has also been reviewed. These systems are based on the nanophotonics technology. The most updated research works on subwavelength scale nanostructure-based functional devices for spectral imaging and optical frequency comb-based LIDAR sensing works have been reviewed. These compact systems will drive the translation of spectral imaging and LIDAR sensing from table-top toward portable solutions for consumer electronics applications. In addition, the future perspectives on nanophotonics-based spectral imaging and LIDAR sensing are also presented.

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“…The portfolio's vulnerability classes are defined in a top-down manner, while the expected frequency of the related classes can are further constrained through a bottom-up approach by integrating data collection from surveys, or even from buildingfeatures extraction through satellite imagery analyses (e.g. Torres et al 2019, Liuzzi et al 2019. To the best of authors' knowledge, these statistical models have not yet been exploited to investigate the epistemic uncertainties in the building exposure composition and its impact in the loss estimates.…”

Section: Dynamic Building Exposure Based On Data Collection and Statimentioning

confidence: 99%

Epistemic uncertainty of probabilistic building exposure compositions in scenario-based earthquake loss models

Zapata¹,

Pittore²,

Cotton³

et al. 2021

Preprint

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In seismic risk assessment the sources of uncertainty associated to building exposure modelling have not received as much attention as other components related to hazard and vulnerability. We are introducing that the degree of knowledge of a building portfolio can be described within a Bayesian probabilistic approach to acknowledge the epistemic uncertainty of its composition (i.e. proportions per building class). We are investigating the impact of such uncertainty on earthquake loss models through a novel approach based on an exposure-oriented logic tree arrangement and scenario-based seismic risk simulations. We have found that the building class reconnaissance either from prior assumptions by desktop studies with aggregated data (top-down approach) or from building-by-building data collection (bottom-up approach), plays a fundamental role in statistical modelling of exposure. We successively show that the selection of the basic set of building classes is a major contribution to the uncertainties in the loss estimations given their dependence on specific fragility functions. If the set of fragility functions handle multiple spectral periods, cross-correlated ground motion fields are required for the vulnerability assessment which ultimately control the variability of the losses. When the exposure composition is poorly known due to, for instance, simplifications and assumptions over aggregated data, its absolute contribution to the loss uncertainties has been found to be larger than the one imposed by the spatially distributed cross-correlated ground motion fields. This work invites to redesign desktop exposure studies, while it also highlights the importance of a standardized iterative approach to exposure data collection and modelling.

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

Cited by 29 publications

References 28 publications

The New Methods for Rapid Exposure and Seismic Vulnerability Assessment. How Do They Adapt to Different Scenarios?

The New Methods for Rapid Exposure and Seismic Vulnerability Assessment. How Do They Adapt to Different Scenarios?

Spectral imaging and spectral LIDAR systems: moving toward compact nanophotonics-based sensing

Epistemic uncertainty of probabilistic building exposure compositions in scenario-based earthquake loss models

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