Next Article in Journal
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching
Previous Article in Journal
Multi-Evidence and Multi-Modal Fusion Network for Ground-Based Cloud Recognition
Open AccessArticle

Coastal Turbidity Derived From PROBA-V Global Vegetation Satellite

1
Vlaams Instituut voor Technologisch Onderzoek (VITO), Boeretang 200, 2400 Mol, Belgium
2
ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville 4811, Australia
3
KU Leuven, Department of Civil Engineering, Hydraulics Section, Kasteelpark Arenberg 40/2448, 3001 Leuven, Belgium
4
Vlaams Instituut voor de Zee (VLIZ), Wandelaarkaai 7, 8400 Oostende, Belgium
5
Brockmann Consult, Chrysanderstr. 1, 21029 Hamburg, Germany
6
Operational Directorate Natural Environments, Royal Belgian Institute of Natural Sciences (RBINS), Vautier Street 29, 1000 Brussels, Belgium
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(3), 463; https://doi.org/10.3390/rs12030463
Received: 9 December 2019 / Revised: 24 January 2020 / Accepted: 28 January 2020 / Published: 2 February 2020
(This article belongs to the Section Environmental Remote Sensing)
PROBA-V (Project for On-Board Autonomy-Vegetation) is a global vegetation monitoring satellite. The spectral quality of the data and the coverage of PROBA-V over coastal waters provide opportunities to expand its use to other applications. This study tests PROBA-V data for the retrieval of turbidity in the North Sea region. In the first step, clouds were masked and an atmospheric correction, using an adapted version of iCOR, was performed. The resulted water leaving radiance reflectance was validated against AERONET-OC stations, yielding a coefficient of determination of 0.884 in the RED band. Next, turbidity values were retrieved using the RED band. The PROBA-V retrieved turbidity data was compared with turbidity data from CEFAS Smartbuoys and ad-hoc measurement campaigns. This resulted in a coefficient of determination of 0.69. Finally, a time series of 1.5 year of PROBA-V derived turbidity data was plotted over MODIS data to check consistencies in both datasets. Seasonal dynamics were noted with high turbidity in autumn and winter and low values in spring and summer. For low values, PROBA-V and MODIS yielded similar results, but while MODIS seems to saturate around 50 FNU, PROBA-V can reach values up till almost 80 FNU. View Full-Text
Keywords: PROBA-V; turbidity; coastal water; iCOR PROBA-V; turbidity; coastal water; iCOR
Show Figures

Graphical abstract

MDPI and ACS Style

De Keukelaere, L.; Sterckx, S.; Adriaensen, S.; Bhatia, N.; Monbaliu, J.; Toorman, E.; Cattrijsse, A.; Lebreton, C.; Van der Zande, D.; Knaeps, E. Coastal Turbidity Derived From PROBA-V Global Vegetation Satellite. Remote Sens. 2020, 12, 463. https://doi.org/10.3390/rs12030463

AMA Style

De Keukelaere L, Sterckx S, Adriaensen S, Bhatia N, Monbaliu J, Toorman E, Cattrijsse A, Lebreton C, Van der Zande D, Knaeps E. Coastal Turbidity Derived From PROBA-V Global Vegetation Satellite. Remote Sensing. 2020; 12(3):463. https://doi.org/10.3390/rs12030463

Chicago/Turabian Style

De Keukelaere, Liesbeth; Sterckx, Sindy; Adriaensen, Stefan; Bhatia, Nitin; Monbaliu, Jaak; Toorman, Erik; Cattrijsse, André; Lebreton, Carole; Van der Zande, Dimitry; Knaeps, Els. 2020. "Coastal Turbidity Derived From PROBA-V Global Vegetation Satellite" Remote Sens. 12, no. 3: 463. https://doi.org/10.3390/rs12030463

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop