Evaluation of seven atmospheric correction algorithms for OLCI images over the coastal waters of Qinhuangdao in Bohai Sea

Li, Qiang; Jiang, Lingling; Chen, Yanlong; Wang, Lin; Wang, Longxiao

doi:10.1016/j.rsma.2022.102711

Cited by 6 publications

(9 citation statements)

References 59 publications

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“…Nevertheless, validations performed in medium-turbid environments, reported better estimations for this algorithm than in the present work (e.g. Alikas et al, 2020;Li et al, 2022). Our results agree with those found by Vanhellemont and Ruddick (2021), who presented a poor performance of POLYMER in Belgian coastal waters, meanwhile the "Standard NN" OLCI product performed relatively well.…”

Section: Validation Of Ac Algorithmssupporting

confidence: 89%

Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca

Arena,

Pratolongo,

Loisel

et al. 2024

Front. Remote Sens.

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The site AERONET-OC Bahía Blanca (BB-AERONET-OC) is located at the mouth of the Bahía Blanca Estuary, Argentina (Southwestern Atlantic Ocean), a coastal system defined by its high suspended loads and relatively low colored dissolved organic matter. The typically high turbidity of these waters makes the BB-AERONET-OC distinctive within the AERONET-OC network stations, providing exceptional opportunities not only for the validation of atmospheric correction algorithms but also for the development of regional algorithms for coastal complex waters. A SeaWiFS Photometer Revision for Incident Surface Measurements (SeaPRISM) instrument was deployed in January 2020 in the upper rail of a Mareograph Tower, a 15 m tall structure, located 10 miles away from the coast in optically deep waters. In this work we used the remote sensing reflectance (Rrs) derived from the BB-AERONET-OC measurements along with in situ hyperspectral radiometric data to classify optical water types (OWTs). We assigned each Rrs(λ) spectra to one of the five OWTs defined by Tran et al., and OWTs were further characterized with the concentrations of optically significant components (chlorophyll-a and suspended particulate matter) and inherent optical properties (absorptions of phytoplankton, non-algal particles, and dissolved organic matter), retrieved from water samples obtained simultaneously with radiometric spectra. Based on a match-up exercise with in situ data, different schemes of atmospheric correction methods were applied to Sentinel-3 Ocean and Land Colour Instrument (OLCI) images. The operational product OLCI Level 2 European Space Agency (ESA) standard (hereafter referred to as “Standard Neural Network (NN)”) proves to be the most suitable atmospheric correction algorithm, which was then used to describe spatial patterns and temporal variability of the different OWTs in the region. The BB-AERONET-OC site is located in a sharp transition between estuarine and coastal waters that present contrasting optical conditions: OWT 4 dominates over time (73.72% of the observations), followed by OWT 3 (24.74%) and OWT 5 (1.53%). OWTs 4 and 5 are associated with turbid waters of the Bahía Blanca Estuary, especially OWT 5, which typifies the very turbid waters from the inner estuary, with the particulate load dominated by mineral sediments and detritus. OWT 3, in turn, depicts the eutrophic coastal waters of the inner shelf. The variability of OWTs and the relative contribution of organic and inorganic compounds to the suspended material would be mostly related with the prevalence of northwest winds in the area, which would drive the export of estuarine sediments to the shelf.

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Section: Validation Of Ac Algorithmssupporting

confidence: 89%

Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca

Arena,

Pratolongo,

Loisel

et al. 2024

Front. Remote Sens.

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“…Because the BG algorithm relies too much on the accuracy of R rs (443), the strong absorption of CDOM and debris at 443 nm prevents the accurate identification of aerosol models from LUTs by the BAC algorithm, leading to a significant underestimation of R rs (443) (Li et al, 2022). Therefore, an accurate atmospheric correction is essential for the BG algorithm.…”

Section: Algorithm Applied To Olci Data In Bohai Sea Of Chinasmentioning

confidence: 99%

Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean

Jiang²,

Chen³

et al. 2023

Front. Mar. Sci.

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Particulate organic carbon (POC) in the surface ocean contributes to understanding the global ocean carbon cycle system. The surface POC concentration can be effectively detected using satellites. In open oceans, the blue-to-green band ratio (BG) algorithm is often used to obtain global surface ocean POC concentrations. However, POC concentrations are underestimated in waters with complex optical environments. To generate a more accurate global POC mapping in the surface ocean, we developed a new ocean color algorithm using a mixed global-scale in situ POC dataset with the concentration ranging from 11.10 to 4389.28 mg/m3. The new algorithm (a-POC) was established to retrieve the POC concentration using the strong relationship between the absorption coefficient at 490 nm (a(490)) and POC, in which a(490) was from the Ocean Color Climate Change Initiative (OC-CCI) v5.0 suite. Afterward, the a-POC algorithm was applied to OC-CCI v5.0 data for special regions and the global ocean. The performances of the a-POC algorithm and the BG algorithm were compared by combining the match-ups of satellite data and in situ dataset. The results showed that the statistical parameters of the a-POC algorithm were similar to those of the BG algorithm in the Atlantic oligotrophic gyre regions, with a median absolute percentage deviation (MAPD) value of 22.04%. In the eastern coastal waters of the United States and the Chesapeake Bay, the POC concentration retrieved by the a-POC algorithm was highly consistent with the match-ups, and MAPD values were 33.06% and 26.11%. The a-POC algorithm was also applied to the Ocean and Land Color Instrument (OLCI) data pre-processed with different atmospheric correction algorithms to evaluate the universality. The result showed that the a-POC algorithm was robust and less sensitive to atmospheric correction than the BG algorithm.

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“…Secondly, 547 nm is within the range that has low errors of atmospheric correction of satellite ocean color data [19,60,61]. And in general, the noise relative to the measured Rrs signal at these wavelengths is one of the lowest, as indicated in Table 1.…”

Section: Characteristics Of the Contrastsmentioning

confidence: 87%

“…This can be seen from the results presented in Table 1. However, normalizing Rrs sat (λ) to Rrs sat (555) may be useful in terms of partially reducing the influence of atmospheric correction errors or reducing the effects of sea foam, sun glints, or another weakly wavelength-dependent factor [18,19], and thus a clear eddy structure may be better observed in BR sat (λ) than in Rrs sat (λ).…”

Section: Characteristics Of the Contrastsmentioning

confidence: 99%

“…But, in this paper, the study focuses on the investigation of eddy manifestations in the visible and IR spectral ranges and does not concern the use of the microwave range. This is due to the fact that, first, there are a number of problems associated with satellite data atmospheric correction errors in the optical range that still need to be solved in terms of selecting optimal characteristics for eddy detection [18,19], and second, remotely sensed data in the visible spectral range are affected by changes in the seawater vertical structure of optically active substances [20], which may serve as an additional factor for analyzing marine eddies.…”

Section: Introductionmentioning

confidence: 99%

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Variations and Depth of Formation of Submesoscale Eddy Structures in Satellite Ocean Color Data in the Southwestern Region of the Peter the Great Bay

Lipinskaya,

Salyuk,

Golik

2023

Remote Sensing

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The aim of this study was to develop methods for determining the most significant contrasts in satellite ocean color data arising in the presence of a submesoscale eddy structure, as well as to determine the corresponding depths of the upper layer of the sea where these contrasts are formed. The research was carried out on the example of the chain of submesoscale eddies identified in the Tumen River water transport area in the Japan/East Sea. MODIS Aqua/Terra satellite data of the remotely sensed reflectance (Rrs) and Rrs band ratio at various wavelengths, chlorophyll-a concentration, and, for comparison, sea surface temperature (sst) were analyzed. Additionally, the results of ship surveys in September 2009 were used to study the influence of eddy vertical structure on the obtained remote characteristics. The best characteristic for detecting the studied eddies in satellite ocean color data was the MODIS chlor_a standard product, which is an estimate of chlorophyll-a concentration obtained by a combination of the three-band reflectance difference algorithm (CI) for low concentrations and the band-ratio algorithm (OCx) for high concentrations. At the same time, the weakest contrasts were in sst data due to similar water heating inside and outside the eddies. The best eddy contrast-to-noise ratio according to Rrs spectra is achieved at 547 nm in the spectral region of seawater with maximum transparency and low relative errors of measurements. The Rrs at 678 nm and associated products may be a significant characteristic for eddy detection if there are many phytoplankton in the eddy waters. The maximum depth of the remotely sensed contrast formation of the considered eddy vertical structure was ~6 m, which was significantly less than the maximum spectral penetration depth of solar radiation for remote sensing, which was in the 14–17 m range. The results obtained can be used to determine the characteristics that provide the best contrast for detecting eddy structures in remotely sensed reflectance data and to improve the interpretation of remote spectral ocean color data in the areas of eddies activity.

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Evaluation of seven atmospheric correction algorithms for OLCI images over the coastal waters of Qinhuangdao in Bohai Sea

Cited by 6 publications

References 59 publications

Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca

Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca

Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean

Variations and Depth of Formation of Submesoscale Eddy Structures in Satellite Ocean Color Data in the Southwestern Region of the Peter the Great Bay

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