M. Lazzari & P. Salvaneschi (ISMES S.p.A., via Pastrengo, 9, 24068 Seriate, Bergamo, Italy)

We present an application that exploits a geographic information system as a front-end of a complex information system supporting the management of landslide hazard in Northern Italy (Valmalenco, Val Torreggio, Val Pola). A decision support system (EYDENET), incorporating a GIS and a data interpreter based on artificial intelligence techniques, processes the readings of the 250 most significant instruments of a monitoring net of about 1000 sensors installed on different landslides in several alpine valleys. EYDENET, which has been operational since October 1996, provides on-line interpretation of these data, helps the users analyse them, and generates alarm messages for the people responsible for the environmental management and the civil protection. We have integrated a GIS into EYDENET to exploit its cartographic facilities and offer a powerful representation tool to navigate through data. In the cartographic window EYDENET shows maps of the monitored areas and represents on them the different instruments through coloured lights, using a colour scale based on their state. Moreover, cartographic layers may be used to represent the activation state of physical processes and the hazard level for the zones affected by them.