Comparison of aerosol models from the Ocean Color satellite sensors and AERONET-OC and their impact on reflectance spectra in coastal waters

2018 ◽  
Author(s):  
Eder Herrera ◽  
Yaron Klein ◽  
Robert Foster ◽  
Barry Gross ◽  
Robert A. Arnone ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Ocean Color ◽  
Reflectance Spectra ◽  
Satellite Sensors

Spectral interdependence of remote-sensing reflectance and its implications on the design of ocean color satellite sensors

2014 ◽  
Vol 53 (15) ◽  
pp. 3301 ◽  
Author(s):  
Zhongping Lee ◽  
Shaoling Shang ◽  
Chuanmin Hu ◽  
Giuseppe Zibordi
Keyword(s):  
Remote Sensing ◽  
Ocean Color ◽  
Remote Sensing Reflectance ◽  
Satellite Sensors

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.

scholarly journals Mississippi River and Campeche Bank (Gulf of Mexico) Episodes of Cross-Shelf Export of Coastal Waters Observed with Satellites

2019 ◽  
Vol 11 (6) ◽  
pp. 723 ◽  
Author(s):  
Daniel Otis ◽  
Matthieu Le Hénaff ◽  
Vassiliki Kourafalou ◽  
Lucas McEachron ◽  
Frank Muller-Karger
Keyword(s):  
Gulf Of Mexico ◽  
Mississippi River ◽  
Coastal Waters ◽  
Satellite Images ◽  
Seasonal Pattern ◽  
Ocean Color ◽  
Loop Current ◽  
Visual Examination ◽  
Mississippi River Water ◽  
Florida Straits

The cross-shelf advection of coastal waters into the deep Gulf of Mexico is important for the transport of nutrients or potential pollutants. Twenty years of ocean color satellite imagery document such cross-shelf transport events via three export pathways in the Gulf of Mexico: from the Campeche Bank toward the central Gulf, from the Campeche Bank toward the Florida Straits, and from the Mississippi Delta to the Florida Straits. A catalog of these events was created based on the visual examination of 7280 daily satellite images. Water transport from the Campeche Bank to the central Gulf occurred frequently and with no seasonal pattern. Transport from Campeche Bank to the Florida Straits occurred episodically, when the Loop Current was retracted. Four such episodes were identified, between about December and June, in 2002, 2009, 2016, and 2017, each lasting ~3 months. Movement of Mississippi River water to the Florida Straits was more frequent and showed near seasonal occurrence, when the Loop Current was extended, while the Mississippi River discharge seems to play only a secondary role. Eight such episodes were identified—in 1999, 2000, 2003, 2004, 2006, 2011, 2014, and 2015—each lasting ~3 months during summer. The 2015 episode lasted 5 months.

Spectral reflectance of suspended solid sediments: a laboratory experiment.

2020 ◽  
Author(s):  
Martina Carlino ◽  
Silvia Di Francesco
Keyword(s):  
Remote Sensing ◽  
Laboratory Experiment ◽  
Spectral Reflectance ◽  
Suspended Solids ◽  
Ocean Color ◽  
Total Suspended Solids ◽  
Reflectance Spectra ◽  
Optical Data ◽  
Band Selection ◽  
Solids Concentration

<p>Ocean color remote sensing proved to be a good alternative to traditional methods for total suspended solids concentration (TSS) monitoring purposes: numerous sensors have been developed for ocean color applications and different algorithms to retrieve TSS from remotely sensed data already exist.</p><p>Nevertheless, their application is generally limited by site-specific factors, and presently there is no uniform remote sensing model to estimate TSS.</p><p>The present study is focused in the development, evaluation and validation of different algorithms to estimate total suspended solids concentration based on laboratory reflectance data.</p><p>At this aim, a laboratory experiment was designed to collect the spectral reflectance of water containing fixed suspended particulate matter in terms of its concentration.</p><p>During the experiment, a total of 10 silty clay loam sediment samples were introduced into a tank filled with clear water up to a depth of 22 cm, illuminated by two 45 W lamps focused on center of water surface. After sieving, sediments were weighed so that TSS concentration ranging from 150 up to 2000 mg/L were obtained in the tank, being soil sediments suspension guaranteed by means of a mechanical pump-driven device.</p><p>Optical data were collected few minutes after each sediment introduction, using an Ocean Optics Jaz spectroradiometer mounted on a platform above the tank.</p><p>In accordance with previous studies, collected reflectance spectra of water containing sediments showed that, whatever is sediment concentration in water, reflectance in the red region is larger than that in the NIR region. Furthermore, reflectance spectra generally present two peaks: one between 550 nm and 750 nm, and the other between 750 nm and 850 nm, being the second peak insignificant for samples with very small TSS (e.g., SSC=150 mg/L), due to strong absorption of water.</p><p>After collection, laboratory reflectance spectra were integrated over the bandpass of different sensors’ selected bands, modulated by their relative response functions (RSR).</p><p>The basic principle of using a specific band, or band ratios to estimate a water parameter is to select spectral bands representative of its scattering/absorption features.</p><p>Band selection was achieved testing some previously formulated ocean color algorithms for the estimation of water quality parameters.</p><p>After band selection, linear regression model was applied to estimate the relationship between sensors’ reflectance at these bands and suspended solids concentration.</p><p>Results showed high correlation between selected sensors’ spectral red band and total suspended solids concentration higher than 500 mg/L up to 1360 mg/L, while less accuracy was observed for TSS concentrations higher than 1360 mg/L. Furthermore, the ratio between spectral red and green bands better estimates TSS in waters where total suspended concentration is not higher than 500 mg/L.</p><p> </p>

scholarly journals Data analysis system developed for ocean color satellite sensors

Eos ◽  
2001 ◽  
Vol 82 (18) ◽  
pp. 202-202 ◽  
Author(s):  
Karen Baith ◽  
Robert Lindsay ◽  
Gary Fu ◽  
Charles R. McClain
Keyword(s):  
Data Analysis ◽  
Ocean Color ◽  
Satellite Sensors ◽  
Analysis System ◽  
Data Analysis System

scholarly journals A satellite ocean color observation operator system for eutrophication assessment in coastal waters

2012 ◽  
Vol 94 ◽  
pp. S2-S15 ◽  
Author(s):  
Andrew Clive Banks ◽  
Pascal Prunet ◽  
Julien Chimot ◽  
Pedro Pina ◽  
Jerome Donnadille ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Ocean Color ◽  
Operator System ◽  
Observation Operator ◽  
Eutrophication Assessment ◽  
Satellite Ocean Color

Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012)

2017 ◽  
Vol 190 ◽  
pp. 217-232 ◽  
Author(s):  
Hubert Loisel ◽  
Vincent Vantrepotte ◽  
Sylvain Ouillon ◽  
Dat Dinh Ngoc ◽  
Marine Herrmann ◽  
...  
Keyword(s):  
Chlorophyll A ◽  
Coastal Waters ◽  
Ocean Color ◽  
Chlorophyll A Concentration ◽  
Color Sensor
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