Title :
Biochemical information extraction of Venice Lagoon macroalgal vegetation from TM spectral bands
Author :
Alberotanza, Luigi ; Zandonella, A.
Author_Institution :
ISDGM, CNR, Venice, Italy
Abstract :
A methodological approach is presented, to extract information on biochemical indicators of productivity (chlorophyll, CO2) of decomposition state (cellulose) of Venice Lagoon macroalgal vegetation using Landsat/TM spectral bands. Based on previous correlation analysis between spectral indicators, drawn from TM bands, and in-situ biochemical observations, the approach is based on the generation and on the selection of spectral indicators, at a certain image acquisition date. The indicator selection procedure is based on the information theory. From in-situ measurements, the selected indicators are correlated with dominant biochemical parameters
Keywords :
aquaculture; oceanographic regions; oceanographic techniques; remote sensing; water pollution; water pollution measurement; Adriatic Sea; Italy; Landsat; Mediterranean; TM spectral bands; Venice Lagoon; alga; biochemical information extraction; biochemistry; biological productivity; chlorophyll; decomposition state; macroalgal; marine biology; measurement technique; multispectral remote sensing; ocean; optical method; sea surface coast; spectral indicator water pollution; vegetation; visible infrared IR; Absorption; Carbon dioxide; Chemicals; Data mining; Productivity; Reflectivity; Remote sensing; Satellites; Spectral analysis; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.520274