In this work active and passive remote sensing techniques have been merged to collect information upon the distribution of natural, anthropic and industrial pollutants in the Venetian Lagoon. Some IR and UV images, sensed by a bispectral Daedalus AA3500 scanner, on board of an Italian Guardia di Finanza aircraft flying at 3000 m, have been integrated with lidar measurements, appropriately processed and georeferenced by means of GPS receivers, in order to display large scale distributions. The lidar fluorosensor, installed on a boat, has covered many different sites of the lagoon, while measuring amounts of chlorophyll, dissolved organic matter and oil slick. Lidar data have been used to calibrate the bispectral images acquired by the airborne scanner at low height by means of appropriate regression models. The models have shown a good correlation between the two different types of collected data. Finally, small scale detailed thematic maps of the distributions of the above- mentioned bio-chemical parameters have been produced for some risk sites of the lagoon, with the characterization and localization of pollutant sources.