This paper examines remote sensing detection techniques for data integration in GIS aimed at monitoring of asbestos-cement cover. Specifically, will present the further developments of a for-mer research activity aimed at mapping asbestos-cement roofing by means of MIVIS hyperspectral data. In particular it will describe the first results obtained so far while devel-oping a GIS system for the monitoring of asbestos-cement roofing, which allows through the geo-coding of MIVIS data, to pose spatial and logical queries in order to assess the different interactions according the scale of analysis. Therefore, this technique can furnish government authorities with an efficient, rapid and repeatable environmental map-ping procedure that can provide information about the loca-tion of asbestos-cement cover. Finally this work will also face a preliminary risk assessment involving the health of both residents and workers in the neighbouring areas.
REMOTE SENSING AND GIS FOR LAND USE PLANNING: AN APPLICATION FOR MAPPING ASBESTOS CEMENT ROOFING IN TIBURTINA, ROME, ITALY
2014
Abstract
This paper examines remote sensing detection techniques for data integration in GIS aimed at monitoring of asbestos-cement cover. Specifically, will present the further developments of a for-mer research activity aimed at mapping asbestos-cement roofing by means of MIVIS hyperspectral data. In particular it will describe the first results obtained so far while devel-oping a GIS system for the monitoring of asbestos-cement roofing, which allows through the geo-coding of MIVIS data, to pose spatial and logical queries in order to assess the different interactions according the scale of analysis. Therefore, this technique can furnish government authorities with an efficient, rapid and repeatable environmental map-ping procedure that can provide information about the loca-tion of asbestos-cement cover. Finally this work will also face a preliminary risk assessment involving the health of both residents and workers in the neighbouring areas.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


