DocumentCode
2188664
Title
Hyperspectral field database in support to coastal wetland mapping
Author
Dehouck, Aurélie ; Lafon, Virginie ; Lubac, Bertrand ; Kervella, Stéphane ; Bru, Driss ; Schmeltz, Marjorie ; Roubache, Amel
Author_Institution
GEO-Transfert, ADERA, Pessac, France
fYear
2012
fDate
22-27 July 2012
Firstpage
2649
Lastpage
2652
Abstract
This paper presents the hyperspectral field measurements acquired at Arcachon (France) over sediments and vegetation species characteristic of the macrotidal lagoon. The reflectance spectra are analyzed to define the variables of interest in order to propose a classification scheme useful for management purposes. The main results show that coupling winter to summer optical multispectral imagery allows discriminating invasive (Spartina anglica) from endemic (Spartina maritima) lower salt-marsh vegetation species. Also, the bottom color and henceforth sediment mineralogy largely influences the determination of seagrass meadows cover. In addition, preliminary results show the potential of identifying biofilms over sandy to muddy sand. Finally, the characterization of macro-algae deposits on the intertidal flats may involve the exploitation of finer and more numerous spectral bands than those typical of classical multispectral imagery.
Keywords
geophysical image processing; minerals; oceanographic techniques; optical images; sand; sediments; vegetation; Arcachon; France; Spartina anglica; Spartina maritima; biofilms; bottom color; classical multispectral imagery; classification scheme; coastal wetland mapping; endemic lower salt-marsh vegetation species; hyperspectral field database; hyperspectral field measurements; intertidal flats; invasive species; macro-algae deposits; macrotidal lagoon; management purposes; muddy sand; reflectance spectra; seagrass meadows cover; sediment mineralogy; spectral bands; summer optical multispectral imagery; vegetation species characteristics; winter optical multispectral imagery; Biomedical optical imaging; Databases; Hyperspectral imaging; Reflectivity; Sediments; Vegetation mapping; Hyperspectral; field data; intertidal flats; mapping; multispectral optical imagery;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350384
Filename
6350384
Link To Document