GIS and remote sensing techniques integration aimed forthe evaluation of the Esino catchment impact on coastalwater quality

Abstract

The main aim of this work, carried out in the framework of the PRISMA2 national researchprogram (Research and Experimentation Program for the Adriatic Sea) was the definition ofan appropriate working methodology which allowed to estimate the impact of the Esinodrainage-basin (central Italy), and of the anthropic activities lying on it, on the coastalwater quality of the Adriatic sea. This aim was pursued by integrating techniques andinstruments of analyses, such as GIS and remote sensing, which are often and oftenemployed in natural resources managing and planning. They allowed to generate adatabase easily updating, relative to a very large area which is strongly differentiated in itsnatural and anthropic features. The database contains raw data, provided by local publicorganizations managing the territory, information derived from elaboration of the previousdata and remote sensed frames (acquired by the hyperspectral sensor MIVIS) purposelyacquired to the aim of the study. It was after all generated an 'open' system, continuallyupdating with environmental information before long available; moreover, were exploredthe potentialities of the MIVIS sensor (102 band, from the visible to the thermic IR) in thestudy of marine coastal water quality.