HR: 0830h
AN: NG31A-0600    [PDF]
TI: Patterns in tidal environments: salt-marsh channel networks and vegetation
AU: * Marani, M
EM: marani@idra.unipd.it
AF: University of Padova - Centro Internazionale di Idrologia D. Tonini, via Loredan 20, Padova, I-35131 Italy
AU: Silvestri, S
EM: sonia@unive.it
AF: Servizio Informativo - CVN, Campo S. Stefano, Venezia, I-35120 Italy
AU: Belluco, E
EM: belluco@idra.unipd.it
AF: University of Padova - Centro Internazionale di Idrologia D. Tonini, via Loredan 20, Padova, I-35131 Italy
AU: Camuffo, M
EM: camonic@unive.it
AF: University of Venice - Dept. SA, S. Marta, Venezia, I-35120 Italy
AU: D'Alpaos, A
EM: adalpaos@idra.unipd.it
AF: University of Padova - Centro Internazionale di Idrologia D. Tonini, via Loredan 20, Padova, I-35131 Italy
AU: Lanzoni, S
EM: lanzo@idra.unipd.it
AF: University of Padova - Centro Internazionale di Idrologia D. Tonini, via Loredan 20, Padova, I-35131 Italy
AU: Marani, A
EM: marani@unive.it
AF: University of Venice - Dept. SA, S. Marta, Venezia, I-35120 Italy
AU: Rinaldo, A
EM: rinaldo@idra.unipd.it
AF: University of Padova - Centro Internazionale di Idrologia D. Tonini, via Loredan 20, Padova, I-35131 Italy
AB: Salt marshes in tidal environments are characterised by complex patterns both in their geomorphic and ecological features. Such patterns arise through the elaboration of a network structure driven by the tidal forcing and through the interaction between hydrodynamical, geophysical and ecological components (e.g. microphytobenthos and vegetation). This contribution introduces observations of tidal environments from remote sensing and ancillary data collected in the field. In particular CASI, MIVIS and LiDar airborne data and IKONOS and Quick-Bird satellite data on the lagoon of Venice (Italy) have been acquired in the period 2001-2002Salt marshes in tidal environments are characterised by complex patterns both in their geomorphic and ecological features. Such patterns arise through the elaboration of a network structure driven by the tidal forcing and through the interaction between hydrodynamical, geophysical and ecological components (e.g. microphytobenthos and vegetation). This contribution introduces observations of tidal environments from remote sensing and ancillary data collected in the field. In particular CASI, MIVIS and LiDar airborne data and IKONOS and Quick-Bird satellite data on the lagoon of Venice (Italy) have been acquired in the period 2001-2002, within the European RTD project TIDE. The remotely sensed data have been radiometrically calibrated, atmospherically corrected and accurately georeferenced to allow the comparison with ground truth observations. Classification and unmixing techniques are then used to derive the spatial distribution of salt marsh vegetation species, which are also characterised through the use of vegetation indexes (e.g. NDVI), allowing an objective and quantitative analysis of vegetation patterns. The set of observations available are further used, together with mathematical models, to describe channel meandering characteristics and branching properties yielding an accurate and spatially distributed description of the tidal network. . The remotely sensed data have been radiometrically calibrated, atmospherically corrected and accurately georeferenced to allow the comparison with ground truth observations. Classification and unmixing techniques are then used to derive the spatial distribution of salt marsh vegetation species, which are also characterised through the use of vegetation indexes (e.g. NDVI), allowing an objective and quantitative analysis of vegetation patterns. The set of observations available are further used, together with mathematical models, to describe channel meandering characteristics and branching properties yielding an accurate and spatially distributed description of the tidal network.
DE: 1625 Geomorphology and weathering (1824, 1886)
DE: 1890 Wetlands
SC: Nonlinear Geophysics [NG]
MN: 2003 Fall Meeting