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Remote Sens. 2016, 8(2), 146; doi:10.3390/rs8020146

The Combined Use of Airborne Remote Sensing Techniques within a GIS Environment for the Seismic Vulnerability Assessment of Urban Areas: An Operational Application

1
Istituto Nazionale di Geofisica e Vulcanologia, Centro Nazionale Terremoti, Via P. Bucci Cubo 30c, 87036 Rende (CS), Italy
2
Comisión Nacional de Actividades Espaciales (CONAE), Agencia de Recaudación de la Provincia de Buenos Aires (ARBA), Calle 45, 1900 La Plata, Argentina
3
Istituto Nazionale di Geofisica e Vulcanologia, Centro Nazionale Terremoti, Via di Vigna Murata 605, 00143 Roma, Italy
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Ioannis Gitas and Prasad S. Thenkabail
Received: 20 November 2015 / Revised: 28 January 2016 / Accepted: 4 February 2016 / Published: 16 February 2016
View Full-Text   |   Download PDF [9452 KB, uploaded 16 February 2016]   |  

Abstract

The knowledge of the topographic features, the building properties, and the road infrastructure settings are relevant operational tasks for managing post-crisis events, restoration activities, and for supporting search and rescue operations. Within such a framework, airborne remote sensing tools have demonstrated to be powerful instruments, whose joint use can provide meaningful analyses to support the risk assessment of urban environments. Based on this rationale, in this study, the operational benefits obtained by combining airborne LiDAR and hyperspectral measurements are shown. Terrain and surface digital models are gathered by using LiDAR data. Information about roads and roof materials are provided through the supervised classification of hyperspectral images. The objective is to combine such products within a geographic information system (GIS) providing value-added maps to be used for the seismic vulnerability assessment of urban environments. Experimental results are gathered for the city of Cosenza, Italy. View Full-Text
Keywords: hyperspectral images; LiDAR; historical heritages; urban assessment; seismic environments hyperspectral images; LiDAR; historical heritages; urban assessment; seismic environments
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Costanzo, A.; Montuori, A.; Silva, J.P.; Silvestri, M.; Musacchio, M.; Doumaz, F.; Stramondo, S.; Buongiorno, M.F. The Combined Use of Airborne Remote Sensing Techniques within a GIS Environment for the Seismic Vulnerability Assessment of Urban Areas: An Operational Application. Remote Sens. 2016, 8, 146.

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