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Mapping Spatial Patterns of Posidonia oceanica Meadows by Means of Daedalus ATM Airborne Sensor in the Coastal Area of Civitavecchia (Central Tyrrhenian Sea, Italy)
UTMEA-TER Energy and Environment Modeling, Earth Observation and Analysis Laboratory, Casaccia Research Centre, Italian National Agency for New Technology, Energy and Sustainable Economic Development (ENEA), via Anguillarese, 301, I-00123 Rome, Italy
UTRINN-BIO Renewables Energies, Biomass and Bio-Energies Laboratory, Casaccia Research Centre, ENEA, via Anguillarese, 301, I-00123 Rome, Italy
Laboratory of Experimental Oceanology and Marine Ecology, Department of Biological and Ecological Sciences (DEB), La Tuscia University, molo Vespucci, Porto di Civitavecchia, I-00053 Civitavecchia (RM), Italy
* Author to whom correspondence should be addressed.
Received: 2 August 2013; in revised form: 20 September 2013 / Accepted: 23 September 2013 / Published: 8 October 2013
Abstract: The spatial distribution of sea bed covers and seagrass in coastal waters is of key importance in monitoring and managing Mediterranean shallow water environments often subject to both increasing anthropogenic impacts and climate change effects. In this context we present a methodology for effective monitoring and mapping of Posidonia oceanica (PO) meadows in turbid waters using remote sensing techniques tested by means of LAI (Leaf Area Index) point sea truth measurements. Preliminary results using Daedalus airborne sensor are reported referring to the PO meadows at Civitavecchia site (central Tyrrhenian sea) where vessel traffic due to presence of important harbors and huge power plant represent strong impact factors. This coastal area, 100 km far from Rome (Central Italy), is characterized also by significant hydrodynamic variations and other anthropogenic factors that affect the health of seagrass meadows with frequent turbidity and suspended sediments in the water column. During 2011–2012 years point measurements of several parameters related to PO meadows phenology were acquired on various stations distributed along 20 km of coast between the Civitavecchia and S. Marinella sites. The Daedalus airborne sensor multispectral data were preprocessed with the support of satellite (MERIS) derived water quality parameters to obtain here improved thematic maps of the local PO distribution. Their thematic accuracy was then evaluated as agreement (R2) with the point sea truth measurements and regressive modeling using an on purpose developd method.
Keywords: Posidonia oceanica mapping; Daedalus ATM; airborne passive HR multispectral remote sensing; sea coastal ecosystems monitoring; LAI (Leaf Area Index); water column and atmospheric image based corrections; Multi-resolution satellite/airborne sensors integration; Landsat ETM+; MERIS Coastcolour; thematic accuracy
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Borfecchia, F.; Micheli, C.; Carli, F.; De Martis, S.C.; Gnisci, V.; Piermattei, V.; Belmonte, A.; De Cecco, L.; Martini, S.; Marcelli, M. Mapping Spatial Patterns of Posidonia oceanica Meadows by Means of Daedalus ATM Airborne Sensor in the Coastal Area of Civitavecchia (Central Tyrrhenian Sea, Italy). Remote Sens. 2013, 5, 4877-4899.
Borfecchia F, Micheli C, Carli F, De Martis SC, Gnisci V, Piermattei V, Belmonte A, De Cecco L, Martini S, Marcelli M. Mapping Spatial Patterns of Posidonia oceanica Meadows by Means of Daedalus ATM Airborne Sensor in the Coastal Area of Civitavecchia (Central Tyrrhenian Sea, Italy). Remote Sensing. 2013; 5(10):4877-4899.
Borfecchia, Flavio; Micheli, Carla; Carli, Filippo; De Martis, Selvaggia C.; Gnisci, Valentina; Piermattei, Viviana; Belmonte, Alessandro; De Cecco, Luigi; Martini, Sandro; Marcelli, Marco. 2013. "Mapping Spatial Patterns of Posidonia oceanica Meadows by Means of Daedalus ATM Airborne Sensor in the Coastal Area of Civitavecchia (Central Tyrrhenian Sea, Italy)." Remote Sens. 5, no. 10: 4877-4899.