Error Budget in the Validation of Radiometric Products Derived from OLCI around the China Sea from Open Ocean to Coastal Waters Compared with MODIS and VIIRS

Li, Jun; Jamet, Cédric; Zhu, Jianrong; Han, Bing; Li, Tongji; An-an, Yang; Guo, Kai; Dounan, Jia

doi:10.3390/rs11202400

Cited by 9 publications

(5 citation statements)

References 59 publications

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“…For the satellite-derived radiometric product, the highest deviations from the in situ data are for the blue bands. This is a challenge partly due to the higher uncertainties in the field data [33] and also due to the optimal parametrization of the AC processor [34,35]. The green bands are estimated most accurately and the bands in the red and NIR wavelengths are often estimated within the limit of in situ uncertainty.…”

Section: Comparison Of Atmospheric Correction Algorithms Over Opticalmentioning

confidence: 99%

Consistency of Radiometric Satellite Data over Lakes and Coastal Waters with Local Field Measurements

et al. 2020

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The Sentinel-3 mission launched its first satellite Sentinel-3A in 2016 to be followed by Sentinel-3B and Sentinel-3C to provide long-term operational measurements over Earth. Sentinel-3A and 3B are in full operational status, allowing global coverage in less than two days, usable to monitor optical water quality and provide data for environmental studies. However, due to limited ground truth data, the product quality has not yet been analyzed in detail with the fiducial reference measurement (FRM) dataset. Here, we use the fully characterized ground truth FRM dataset for validating Sentinel-3A Ocean and Land Colour Instrument (OLCI) radiometric products over optically complex Estonian inland waters and Baltic Sea coastal areas. As consistency between satellite and local data depends on uncertainty in field measurements, filtering of the in situ data has been made based on the uncertainty for the final comparison. We have compared various atmospheric correction methods and found POLYMER (POLYnomial-based algorithm applied to MERIS) to be most suitable for optically complex waters under study in terms of product accuracy, amount of usable data and also being least influenced by the adjacency effect.

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Section: Comparison Of Atmospheric Correction Algorithms Over Opticalmentioning

confidence: 99%

Consistency of Radiometric Satellite Data over Lakes and Coastal Waters with Local Field Measurements

et al. 2020

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“…In coastal areas, where the signal also comes from total suspended matter (TSM) and coloured dissolved organic matter (CDOM) as well as Chl a, a systematic underestimation of the second reprocessing Remote Sens. 2022, 14, 89 2 of 19 (pb 2) of OLCI water-leaving radiance (L w ) in both blue and red spectral regions has been reported [4][5][6][7]. This is linked to errors in the AC aerosol type and load [7].…”

Section: Introductionmentioning

confidence: 99%

Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea

et al. 2021

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Ocean colour (OC) remote sensing is an important tool for monitoring phytoplankton in the global ocean. In optically complex waters such as the Baltic Sea, relatively efficient light absorption by substances other than phytoplankton increases product uncertainty. Sentinel-3 OLCI-A, Suomi-NPP VIIRS and MODIS-Aqua OC radiometric products were assessed using Baltic Sea in situ remote sensing reflectance (Rrs) from ferry tracks (Alg@line) and at two Aerosol Robotic Network for Ocean Colour (AERONET-OC) sites from April 2016 to September 2018. A range of atmospheric correction (AC) processors for OLCI-A were evaluated. POLYMER performed best with <23 relative % difference at 443, 490 and 560 nm compared to in situ Rrs and 28% at 665 nm, suggesting that using this AC for deriving Chl a will be the most accurate. Suomi-VIIRS and MODIS-Aqua underestimated Rrs by 35, 29, 22 and 39% and 34, 22, 17 and 33% at 442, 486, 560 and 671 nm, respectively. The consistency between different AC processors for OLCI-A and MODIS-Aqua and VIIRS products was relatively poor. Applying the POLYMER AC to OLCI-A, MODIS-Aqua and VIIRS may produce the most accurate Rrs and Chl a products and OC time series for the Baltic Sea.

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“…This was mainly caused by OLCI ρ w at stations 22 (Figure A7) and 56 (Figure 13), which had a steep decrease from 400 nm to 412.5 nm, and was not seen in the field measurements. The reason could be due to poor characterization of the aerosol load and type in the S-3A OLCI atmospheric correction [38,39]. Five match-ups, however are too few to make robust conclusions on the accuracy of S-3A OLCI.…”

Section: Comparison Of In Situ and Olci Radiometric Datamentioning

confidence: 99%

Comparison of Above-Water Seabird and TriOS Radiometers along an Atlantic Meridional Transect

et al. 2020

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The Fiducial Reference Measurements for Satellite Ocean Color (FRM4SOC) project has carried out a range of activities to evaluate and improve the state-of-the-art in ocean color radiometry. This paper described the results from a ship-based intercomparison conducted on the Atlantic Meridional Transect 27 from 23rd September to 5th November 2017. Two different radiometric systems, TriOS-Radiation Measurement Sensor with Enhanced Spectral resolution (RAMSES) and Seabird-Hyperspectral Surface Acquisition System (HyperSAS), were compared and operated side-by-side over a wide range of Atlantic provinces and environmental conditions. Both systems were calibrated for traceability to SI (Système international) units at the same optical laboratory under uniform conditions before and after the field campaign. The in situ results and their accompanying uncertainties were evaluated using the same data handling protocols. The field data revealed variability in the responsivity between TRiOS and Seabird sensors, which is dependent on the ambient environmental and illumination conditions. The straylight effects for individual sensors were mostly within ±3%. A near infra-red (NIR) similarity correction changed the water-leaving reflectance (ρw) and water-leaving radiance (Lw) spectra significantly, bringing also a convergence in outliers. For improving the estimates of in situ uncertainty, it is recommended that additional characterization of radiometers and environmental ancillary measurements are undertaken. In general, the comparison of radiometric systems showed agreement within the evaluated uncertainty limits. Consistency of in situ results with the available Sentinel-3A Ocean and Land Color Instrument (OLCI) data in the range from (400…560) nm was also satisfactory (−8% < Mean Percentage Difference (MPD) < 15%) and showed good agreement in terms of the shape of the spectra and absolute values.

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Error Budget in the Validation of Radiometric Products Derived from OLCI around the China Sea from Open Ocean to Coastal Waters Compared with MODIS and VIIRS

Cited by 9 publications

References 59 publications

Consistency of Radiometric Satellite Data over Lakes and Coastal Waters with Local Field Measurements

Consistency of Radiometric Satellite Data over Lakes and Coastal Waters with Local Field Measurements

Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea

Comparison of Above-Water Seabird and TriOS Radiometers along an Atlantic Meridional Transect

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