scholarly journals Fluorescence Component in the Reflectance Spectra from Coastal Waters. II. Performance of retrieval algorithms

2008 ◽  
Vol 16 (4) ◽  
pp. 2446 ◽  
Author(s):  
A. Gilerson ◽  
J. Zhou ◽  
S. Hlaing ◽  
I. Ioannou ◽  
B. Gross ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Reflectance Spectra ◽  
Retrieval Algorithms

scholarly journals Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters

2019 ◽  
Vol 11 (19) ◽  
pp. 2297 ◽  
Author(s):  
Kristi Uudeberg ◽  
Ilmar Ansko ◽  
Getter Põru ◽  
Ave Ansper ◽  
Anu Reinart
Keyword(s):  
Remote Sensing ◽  
Coastal Waters ◽  
Atmospheric Correction ◽  
Suspended Sediments ◽  
Reflectance Spectra ◽  
Water Type ◽  
Colored Dissolved Organic Matter ◽  
Water Color ◽  
Sentinel 2

The European Space Agency’s Copernicus satellites Sentinel-2 and Sentinel-3 provide observations with high spectral, spatial, and temporal resolution which can be used to monitor inland and coastal waters. Such waters are optically complex, and the water color may vary from completely clear to dark brown. The main factors influencing water color are colored dissolved organic matter, phytoplankton, and suspended sediments. Recently, there has been a growing interest in the use of the optical water type (OWT) classification in the remote sensing of ocean color. Such classification helps to clarify relationships between different properties inside a certain class and quantify variation between classes. In this study, we present a new OWT classification based on the in situ measurements of reflectance spectra for boreal region lakes and coastal areas without extreme optical conditions. This classification divides waters into five OWT (Clear, Moderate, Turbid, Very Turbid, and Brown) and shows that different OWTs have different remote sensing reflectance spectra and that each OWT is associated with a specific bio-optical condition. Developed OWTs are distinguishable by both the MultiSpectral Instrument (MSI) and the Ocean and Land Color Instrument (OLCI) sensors, and the accuracy of the OWT assignment was 95% for both the MSI and OLCI bands. To determine OWT from MSI images, we tested different atmospheric correction (AC) processors, namely ACOLITE, C2RCC, POLYMER, and Sen2Cor and for OLCI images, we tested AC processors ALTNNA, C2RCC, and L2. The C2RCC AC processor was the most accurate and reliable for use with MSI and OLCI images to estimate OWTs.

Impact of particulate scattering in coastal waters on reflectance spectra: simulations and Chesapeake Bay measurements

OCEANS 2006 ◽  
2006 ◽  
Author(s):  
Alexander Gilerson ◽  
Jing Zhou ◽  
Marco Vargas ◽  
Barry Gross ◽  
Fred Moshary ◽  
...  
Keyword(s):  
Chesapeake Bay ◽  
Coastal Waters ◽  
Reflectance Spectra

Inversion of Reflectance Spectra of Nonchlorophyllous Turbid Coastal Waters

1999 ◽  
Vol 68 (3) ◽  
pp. 264-272 ◽  
Author(s):  
Philippe Forget ◽  
Sylvain Ouillon ◽  
Florence Lahet ◽  
Pierre Broche
Keyword(s):  
Coastal Waters ◽  
Reflectance Spectra

scholarly journals Fluorescence component in the reflectance spectra from coastal waters. Dependence on water composition

2007 ◽  
Vol 15 (24) ◽  
pp. 15702 ◽  
Author(s):  
A. Gilerson ◽  
J. Zhou ◽  
S. Hlaing ◽  
I. Ioannou ◽  
J. Schalles ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Reflectance Spectra ◽  
Water Composition

scholarly journals Validity of SeaDAS water constituents retrieval algorithms in Australian tropical coastal waters

2007 ◽  
Vol 34 (21) ◽  
Author(s):  
Yi Qin ◽  
Vittorio E. Brando ◽  
Arnold G. Dekker ◽  
David Blondeau-Patissier
Keyword(s):  
Coastal Waters ◽  
Retrieval Algorithms ◽  
Water Constituents

Fluorescence contribution to reflectance spectra for a variety of coastal waters

2007 ◽  
Author(s):  
A. Gilerson ◽  
J. Zhou ◽  
S. Hlaing ◽  
I. Ioannou ◽  
R. Amin ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Reflectance Spectra
Sign in / Sign up

Export Citation Format

Share Document