The latest improvements in geo-informatics offer new opportunities in a wide range of territorial and environmental applications. In this general framework, a relevant issue is represented by earthquake early warning and emergency management. This research work presents the investigation and development of a simple and innovative geospatial methodology and related collaborative open source geospatial tools for predicting and mapping the vulnerability to seismic hazard in order to support the response planning to disastrous events. The proposed geospatial methodology and tools have been integrated into an open source collaborative GIS system, designed and developed as an integrated component of an earthquake early warning and emergency management system

Abstract. The recent advances in geo-informatics have been opening new opportunities in earthquake early warning and emergency management issues. In the last years, the geo-scientific community has recognized the added value of a geo-analytic approach in complex decision making processes for critical situations due to disastrous natural events such as earthquakes. In fact, recently, GIS-based solutions are investigated in several research projects such as SIT_MEW Project, aimed at the development of volcanic and seismic early warning systems (EWSs). In this project context, an innovative open source GIS system has been investigated and developed as integrated component of the seismic EWS. Its architecture consists in a geospatial database system, a local GIS application for analyzing and modelling the seismic event and its impacts and supporting post-event emergency management, a WEB-GIS module for sharing the geo-information among the public and private stakeholders and emergency managers involved in disaster impact assessment and response management.

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In this work active and passive remote sensing techniques have been merged to collect information upon the distribution of natural. aiithropic and industrial pollutants in the Venetian Lagoon. Some IR and UV images. sensed by a bispcctral Daedalus AA3500 scanner on board of an Italian Guardia di Finanza aircraft flying at 300() in. have been integrated with lidar iiicasurements, appropriately processed and georefcienced by means of GPS (Global Positioning System) receivers. in order to display large scale distributions. The Lidar fluorosensor, installed on a boat, has covered many different sites of the lagoon, while measuring amounts of chlorophyll (CHL), dissolved organic matter (DOM) and oil slick (OIL). Lidar data have been used to calibrate the bispectral images acquired by the airborne scanner at low height (400 m) by means of appropriate regression models. The models have shown a good correlation between the two different types of collected data. Filially, small scale detailed thematic maps of the distributions of the above-mentioned bio-cliemical parameters have been produced for some risk sites of the lagoon. with the characterization and localization of pollutant sources. KEY \VORI)S: Passive remote sensing. lidar fluorosensor, GPS. Arc-Info SPIE Vol. 2959 • O-8194-2363-7197/$6.OO Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/17/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx

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