Next Article in Journal
Strong Interrelation between the Short-Term Variability in the Ionosphere, Upper Mesosphere, and Winter Polar Stratosphere
Next Article in Special Issue
Comparison of Above-Water Seabird and TriOS Radiometers along an Atlantic Meridional Transect
Previous Article in Journal
Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine Learning Approaches
Previous Article in Special Issue
A Virtual Geostationary Ocean Color Sensor to Analyze the Coastal Optical Variability

Field Intercomparison of Radiometer Measurements for Ocean Colour Validation

Plymouth Marine Laboratory, Earth Observation Science and Applications, Plymouth PL1 3DH, UK
National Centre for Earth Observations, Plymouth PL1 3DH, UK
Institute of Coastal Research, Helmholtz-Zentrum Geesthacht (HZG), 21502 Geesthacht, Germany
Royal Belgian Institute of Natural Sciences, 29 Rue Vautierstraat, 1000 Brussels, Belgium
Tartu Observatory, University of Tartu, 61602 Tõravere, Estonia
Geography Department at the University of Victoria, Victoria, BC V8P 5C2, Canada
Center for Marine and Environmental Research CIMA, University of Algarve, 8005-139 Faro, Portugal
Sorbonne Université, CNRS, Institut de la Mer de Villefranche, IMEV, F-06230 Villefranche-sur-Mer, France
Flanders Marine Institute (VLIZ), Wandelaarkaai 7, 8400 Ostend, Belgium
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Department of Climate Sciences, D-27570 Bremerhaven, Germany
European Space Agency, 2201 AZ Noordwijk, The Netherlands
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(10), 1587;
Received: 31 March 2020 / Revised: 11 May 2020 / Accepted: 11 May 2020 / Published: 16 May 2020
(This article belongs to the Special Issue Fiducial Reference Measurements for Satellite Ocean Colour)
A field intercomparison was conducted at the Acqua Alta Oceanographic Tower (AAOT) in the northern Adriatic Sea, from 9 to 19 July 2018 to assess differences in the accuracy of in- and above-water radiometer measurements used for the validation of ocean colour products. Ten measurement systems were compared. Prior to the intercomparison, the absolute radiometric calibration of all sensors was carried out using the same standards and methods at the same reference laboratory. Measurements were performed under clear sky conditions, relatively low sun zenith angles, moderately low sea state and on the same deployment platform and frame (except in-water systems). The weighted average of five above-water measurements was used as baseline reference for comparisons. For downwelling irradiance ( E d ), there was generally good agreement between sensors with differences of <6% for most of the sensors over the spectral range 400 nm–665 nm. One sensor exhibited a systematic bias, of up to 11%, due to poor cosine response. For sky radiance ( L s k y ) the spectrally averaged difference between optical systems was <2.5% with a root mean square error (RMS) <0.01 mWm−2 nm−1 sr−1. For total above-water upwelling radiance ( L t ), the difference was <3.5% with an RMS <0.009 mWm−2 nm−1 sr−1. For remote-sensing reflectance ( R r s ), the differences between above-water TriOS RAMSES were <3.5% and <2.5% at 443 and 560 nm, respectively, and were <7.5% for some systems at 665 nm. Seabird-Hyperspectral Surface Acquisition System (HyperSAS) sensors were on average within 3.5% at 443 nm, 1% at 560 nm, and 3% at 665 nm. The differences between the weighted mean of the above-water and in-water systems was <15.8% across visible bands. A sensitivity analysis showed that E d accounted for the largest fraction of the variance in R r s , which suggests that minimizing the errors arising from this measurement is the most important variable in reducing the inter-group differences in R r s . The differences may also be due, in part, to using five of the above-water systems as a reference. To avoid this, in situ normalized water-leaving radiance ( L w n ) was therefore compared to AERONET-OC SeaPRiSM L w n as an alternative reference measurement. For the TriOS-RAMSES and Seabird-HyperSAS sensors the differences were similar across the visible spectra with 4.7% and 4.9%, respectively. The difference between SeaPRiSM L w n and two in-water systems at blue, green and red bands was 11.8%. This was partly due to temporal and spatial differences in sampling between the in-water and above-water systems and possibly due to uncertainties in instrument self-shading for one of the in-water measurements. View Full-Text
Keywords: fiducial reference measurements; remote sensing reflectance; ocean colour radiometers; TriOS RAMSES; Seabird HyperSAS; field intercomparison; AERONET-OC; Acqua Alta Oceanographic Tower fiducial reference measurements; remote sensing reflectance; ocean colour radiometers; TriOS RAMSES; Seabird HyperSAS; field intercomparison; AERONET-OC; Acqua Alta Oceanographic Tower
Show Figures

Graphical abstract

MDPI and ACS Style

Tilstone, G.; Dall’Olmo, G.; Hieronymi, M.; Ruddick, K.; Beck, M.; Ligi, M.; Costa, M.; D’Alimonte, D.; Vellucci, V.; Vansteenwegen, D.; Bracher, A.; Wiegmann, S.; Kuusk, J.; Vabson, V.; Ansko, I.; Vendt, R.; Donlon, C.; Casal, T. Field Intercomparison of Radiometer Measurements for Ocean Colour Validation. Remote Sens. 2020, 12, 1587.

AMA Style

Tilstone G, Dall’Olmo G, Hieronymi M, Ruddick K, Beck M, Ligi M, Costa M, D’Alimonte D, Vellucci V, Vansteenwegen D, Bracher A, Wiegmann S, Kuusk J, Vabson V, Ansko I, Vendt R, Donlon C, Casal T. Field Intercomparison of Radiometer Measurements for Ocean Colour Validation. Remote Sensing. 2020; 12(10):1587.

Chicago/Turabian Style

Tilstone, Gavin, Giorgio Dall’Olmo, Martin Hieronymi, Kevin Ruddick, Matthew Beck, Martin Ligi, Maycira Costa, Davide D’Alimonte, Vincenzo Vellucci, Dieter Vansteenwegen, Astrid Bracher, Sonja Wiegmann, Joel Kuusk, Viktor Vabson, Ilmar Ansko, Riho Vendt, Craig Donlon, and Tânia Casal. 2020. "Field Intercomparison of Radiometer Measurements for Ocean Colour Validation" Remote Sensing 12, no. 10: 1587.

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

Back to TopTop