Paper
11 December 1998 GIS and remote sensing techniques integration aimed for the evaluation of the Esino catchment impact on coastal water quality
Carlo Alberto Brunori, Stefano Oliveri, Lucia Luzi, Eugenio Zilioli
Author Affiliations +
Abstract
The main aim of this work, carried out in the framework of the PRISMA2 national research program (Research and Experimentation Program for the Adriatic Sea) was the definition of an appropriate working methodology which allowed to estimate the impact of the Esino drainage-basin (central Italy), and of the anthropic activities lying on it, on the coastal water quality of the Adriatic sea. This aim was pursued by integrating techniques and instruments of analyses, such as GIS and remote sensing, which are often and often employed in natural resources managing and planning. They allowed to generate a database easily updating, relative to a very large area which is strongly differentiated in its natural and anthropic features. The database contains raw data, provided by local public organizations managing the territory, information derived from elaboration of the previous data and remote sensed frames (acquired by the hyperspectral sensor MIVIS) purposely acquired to the aim of the study. It was after all generated an 'open' system, continually updating with environmental information before long available; moreover, were explored the potentialities of the MIVIS sensor (102 band, from the visible to the thermic IR) in the study of marine coastal water quality.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carlo Alberto Brunori, Stefano Oliveri, Lucia Luzi, and Eugenio Zilioli "GIS and remote sensing techniques integration aimed for the evaluation of the Esino catchment impact on coastal water quality", Proc. SPIE 3496, Earth Surface Remote Sensing II, (11 December 1998); https://doi.org/10.1117/12.332731
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KEYWORDS
Water

Geographic information systems

Remote sensing

Data acquisition

Databases

Sensors

Environmental sensing

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