DocumentCode
2662264
Title
A multi-channel atmospheric correction algorithm for remote sensing of coastal waters
Author
Gao, Bo-Cai ; Montes, Marcos J. ; Li, Rong-Rong
Author_Institution
Naval Res. Lab., Washington
fYear
2007
fDate
23-28 July 2007
Firstpage
54
Lastpage
56
Abstract
In order to make reliable estimates of chlorophyll concentrations and suspended matter in the ocean, accurate retrievals of water leaving reflectances are required. The present operational atmospheric correction algorithms work reasonably well over clear ocean areas but gives incorrect results over brighter coastal waters. This is mainly due to the fact that the turbid waters are not dark for the two atmospheric correction channels centered near 0.75 and 0.86 mum. Operational ocean products have not yet been derived over turbid waters and shallow waters with bottom reflection from remotely sensed data, such as the SeaWiFS and MODIS data. We have developed a multi-channel atmospheric correction algorithm for remote sensing of coastal waters. In this algorithm, aerosol models and optical depths are determined by a spectrum-matching technique utilizing channels located at wavelengths longer than 0.86 mum where the ocean surface is dark. Here we describe briefly the algorithm and present sample results.
Keywords
atmospheric optics; geophysical signal processing; oceanography; remote sensing; turbidity; MODIS; SeaWiFS; aerosol models; bottom reflection; chlorophyll concentrations; coastal waters; multichannel atmospheric correction algorithm; ocean suspended matter; operational ocean products; optical depths; remote sensing; shallow waters; spectrum-matching technique; turbid waters; water leaving reflectances; Aerosols; Atmospheric modeling; Atmospheric waves; MODIS; Oceans; Optical reflection; Optical sensors; Remote sensing; Sea measurements; Surface waves;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4422728
Filename
4422728
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