This paper examines remote sensing detection techniques for data integration in GIS to be employed in brownfield monitoring. Brownfields are frequently associated with urban wastes, mostly from building demolition. The hazard increases when dangerous materials are used. In order to allow us to perform a detailed classification of the land and to identify a wide range of the brownfields, the Laboratory of CNR (LARA) detects environmental data by means of the airborne MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) sensor. Moreover, GIS tools correlate the relevant data in order to evaluate the extension and derivative parameters of the same brownfields. These parameters are then used to elaborate indicators that can be used within the framework of a sustainable planning and development.
Remote sensing detection techniques for brownfield identification and monitoring by GIS tools / C., Atturo; C., Cianfrone; Ferrara, Vincenzo; L., Fiumi; G., Fontinovo; Ottavi, Cesare Maria. - STAMPA. - 94:(2006), pp. 241-250. (Intervento presentato al convegno 3rd International Conferenceon Prevention, Assessment, Rehabilitation and Development of Brownfield Sites, BROWNFIELDS 2006, BF06 tenutosi a Tallin nel 19 July 2006 through 21 July 2006) [10.2495/bf060231].
Remote sensing detection techniques for brownfield identification and monitoring by GIS tools
FERRARA, Vincenzo;OTTAVI, Cesare Maria
2006
Abstract
This paper examines remote sensing detection techniques for data integration in GIS to be employed in brownfield monitoring. Brownfields are frequently associated with urban wastes, mostly from building demolition. The hazard increases when dangerous materials are used. In order to allow us to perform a detailed classification of the land and to identify a wide range of the brownfields, the Laboratory of CNR (LARA) detects environmental data by means of the airborne MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) sensor. Moreover, GIS tools correlate the relevant data in order to evaluate the extension and derivative parameters of the same brownfields. These parameters are then used to elaborate indicators that can be used within the framework of a sustainable planning and development.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
