Benefits of global earth observation missions for disaggregation of exposure data and earthquake loss modeling: evidence from Santiago de Chile

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dc.contributor.authorGeiss, Christian
dc.contributor.authorPriesmeier, Peter
dc.contributor.authorPelizari, Patrick Aravena
dc.contributor.authorCalderon, Angelica Rocio Soto
dc.contributor.authorSchoepfer, Elisabeth
dc.contributor.authorRiedlinger, Torsten
dc.contributor.authorVega, Mabe Villar
dc.contributor.authorSanta Maria, Hernan
dc.contributor.authorGomez Zapata, Juan Camilo
dc.contributor.authorPittore, Massimiliano
dc.contributor.authorSo, Emily
dc.contributor.authorFekete, Alexander
dc.contributor.authorTaubenbock, Hannes
dc.date.accessioned2025-01-20T20:09:15Z
dc.date.available2025-01-20T20:09:15Z
dc.date.issued2023
dc.description.abstractExposure is an essential component of risk models and describes elements that are endangered by a hazard and susceptible to damage. The associated vulnerability characterizes the likelihood of experiencing damage (which can translate into losses) at a certain level of hazard intensity. Frequently, the compilation of exposure information is the costliest component (in terms of time and labor) of risk assessment procedures. Existing models often describe exposure in an aggregated manner, e.g., by relying on statistical/census data for given administrative entities. Nowadays, earth observation techniques allow the collection of spatially continuous information for large geographic areas while enabling a high geometric and temporal resolution. Consequently, we exploit measurements from the earth observation missions TanDEM-X and Sentinel-2, which collect data on a global scale, to characterize the built environment in terms of constituting morphologic properties, namely built-up density and height. Subsequently, we use this information to constrain existing exposure data in a spatial disaggregation approach. Thereby, we establish dasymetric methods for disaggregation. The results are presented for the city of Santiago de Chile, which is prone to natural hazards such as earthquakes. We present loss estimations due to seismic ground shaking and corresponding sensitivity as a function of the resolution properties of the exposure data used in the model. The experimental results underline the benefits of deploying modern earth observation technologies for refined exposure mapping and related earthquake loss estimation with enhanced accuracy properties.
dc.fuente.origenWOS
dc.identifier.doi10.1007/s11069-022-05672-6
dc.identifier.eissn1573-0840
dc.identifier.issn0921-030X
dc.identifier.urihttps://doi.org/10.1007/s11069-022-05672-6
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/91980
dc.identifier.wosidWOS:000878943100002
dc.issue.numero2
dc.language.isoen
dc.pagina.final804
dc.pagina.inicio779
dc.revistaNatural hazards
dc.rightsacceso restringido
dc.subjectExposure modeling
dc.subjectDisaggregation techniques
dc.subjectEarth observation
dc.subjectRemote sensing
dc.subjectSeismic risk
dc.subjectEarthquake loss estimation
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleBenefits of global earth observation missions for disaggregation of exposure data and earthquake loss modeling: evidence from Santiago de Chile
dc.typeartículo
dc.volumen119
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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