DocumentCode
144394
Title
Mapping Posidonia meadow from high spatial resolution images in the Gulf of Oristano (Italy)
Author
Matta, E. ; Aiello, M. ; Bresciani, M. ; Gianinetto, M. ; Musanti, M. ; Giardino, C.
Author_Institution
Inst. for Electromagn. Sensing of the Environ., Milan, Italy
fYear
2014
fDate
13-18 July 2014
Firstpage
5152
Lastpage
5155
Abstract
This work deals with the retrieval of distribution of seabed vegetation cover (essentially Posidonia Oceanica) in the coastal waters (1-10m) of the Gulf of Oristano. A physical approach was used to derive bottom cover map from airborne and satellite imagery (MIVIS, KOMPSAT-2 and RapidEye) acquired in summer 2001, 2011 and 2013. A bathymetric map was also derived from the RapidEye image of 2003. A field campaign was held on 1-8 August 2013 to parameterize the physical model and to validate the 2013 results. Accuracy of bottom cover map and regression between measured and modelled water depths was good providing an overall accuracy of 0.88% and a correlation coefficient of 0.84, respectively. The retrospective analysis revealed that P. oceanica meadow seems to be stable over the 12 years showing only very small variations (-0.2km2). Sea bottom morphology and vegetation cover were also related.
Keywords
bathymetry; seafloor phenomena; vegetation mapping; AD 2001; AD 2003; AD 2011; AD 2013 08 01 to 08; Gulf of Oristano; Italy; KOMPSAT-2; MIVIS; P oceanica meadow; Posidonia Oceanica; Posidonia meadow mapping; RapidEye image; airborne imagery; bathymetric map; bottom cover map accuracy; coastal water; correlation coefficient; field campaign; high spatial resolution image; measured water depth; modelled water depth; physical approach; physical model parameterization; retrospective analysis; satellite imagery; sea bottom morphology; seabed vegetation cover distribution retrieval; summer season; vegetation cover; very small variation; Adaptive optics; Atmospheric modeling; Remote sensing; Satellites; Sea measurements; Vegetation mapping; Water; High-spatial resolution data; Posidonia oceanica; bathymetry; physical approach;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6947658
Filename
6947658
Link To Document