Remote Sensing Detection Techniques For Brownfield Identification And Monitoring By GIS Tools
Free (open access)
C. Atturo, C. Cianfrone, V. Ferrara, L. Fiumi, G. Fontinovo & C. M. Ottavi
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. Keywords: monitoring of contaminated sites, multispectral sensors, MIVIS, GIS, multimedia modelling. 1 Introduction to brownfield identification Once thriving areas of economic activity, brownfields are today generally abandoned/underused urban and sub-urban zones. Their expansion can be risky because it frequently involves some sort of environmental contamination, depending on the wear state of the building taken into consideration. They
monitoring of contaminated sites, multispectral sensors, MIVIS, GIS, multimedia modelling.