A method for radar-based seismic damage assessment in urban areas [1]-[2]-[3] has been formerly developed by our research group. Ancillary information on physical vulnerability of buildings is being integrated [4] into it in an attempt to narrow down the uncertainty on the estimated damage level. The method was initially developed on COSMO/SkyMed data, but it is now being tested on TerraSAR-X data in the framework of TSX AO project LAN 1240. The rationale for widening the set of possible data sources is to reduce the response time through the use of a “virtual constellation” including all SAR satellites featuring sufficient spatial resolution. Thanks to LAN1240, we had also the opportunity to request specific acquisitions on pinpointed spots besides the initial plan to obtain archived data on previous test sites. This paper gives some highlights on how we got first-hand data on very interesting spots by near-real-time activation of spotlight acquisitions, triggered by scanning for relevant events in the news.
RADAR-BASED DAMAGE ASSESSMENT: NEAR-REAL-TIME SPOTLIGHT ACQUISITION ON SINGLE BUILDING COLLAPSES FROM INFORMAL ON-LINE NEWS SCANNING
HARB, MOSTAPHA;DELL'ACQUA, FABIO
2013-01-01
Abstract
A method for radar-based seismic damage assessment in urban areas [1]-[2]-[3] has been formerly developed by our research group. Ancillary information on physical vulnerability of buildings is being integrated [4] into it in an attempt to narrow down the uncertainty on the estimated damage level. The method was initially developed on COSMO/SkyMed data, but it is now being tested on TerraSAR-X data in the framework of TSX AO project LAN 1240. The rationale for widening the set of possible data sources is to reduce the response time through the use of a “virtual constellation” including all SAR satellites featuring sufficient spatial resolution. Thanks to LAN1240, we had also the opportunity to request specific acquisitions on pinpointed spots besides the initial plan to obtain archived data on previous test sites. This paper gives some highlights on how we got first-hand data on very interesting spots by near-real-time activation of spotlight acquisitions, triggered by scanning for relevant events in the news.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
