Author Contributions
Conceptualization, P.A.S. and I.E.S.; methodology, P.A.S., I.E.S. and V.A.K.; software, P.A.S., I.E.S. and V.A.K.; validation, E.B.S., S.P.P. and I.I.P.; formal analysis, P.A.S., I.E.S., S.P.P. and I.I.P.; investigation, P.A.S., I.E.S. and E.B.S.; resources, P.A.S.; data curation, P.A.S., I.E.S. and V.A.K.; writing—original draft preparation, P.A.S.; writing—review and editing, E.B.S.; visualization, P.A.S. and I.E.S.; supervision, P.A.S.; project administration, P.A.S.; funding acquisition, P.A.S., S.P.P. and I.I.P. All authors have read and agreed to the published version of the manuscript.
Figure 1.
The study area is the western part of the Bering Sea in August 2013: (a) the entire study area; (b) the region near Cape Navarin; (c) the region near eastern part of the Gulf of Anadyr. BSC is the Bering Slope Current and AC is the Anadyr current. Crs-MA is the averaged MODIS-Aqua estimations of chl-a for August in the period 2002–2020. A description of the colors of the dots is presented in Table 3.
Figure 1.
The study area is the western part of the Bering Sea in August 2013: (a) the entire study area; (b) the region near Cape Navarin; (c) the region near eastern part of the Gulf of Anadyr. BSC is the Bering Slope Current and AC is the Anadyr current. Crs-MA is the averaged MODIS-Aqua estimations of chl-a for August in the period 2002–2020. A description of the colors of the dots is presented in Table 3.
Figure 2.
Northward velocity of the sea surface current averaged for the August 2013 (from the CMEMS reanalysis). A description of the colors of the dots is presented in Table 3.
Figure 2.
Northward velocity of the sea surface current averaged for the August 2013 (from the CMEMS reanalysis). A description of the colors of the dots is presented in Table 3.
Figure 3.
Quality analysis of the atmosphere correction of satellite data. Spectral distribution of MRAE of the determination of satellite band ratio index ROC2(λ) relative to reference ship-based measurements.
Figure 3.
Quality analysis of the atmosphere correction of satellite data. Spectral distribution of MRAE of the determination of satellite band ratio index ROC2(λ) relative to reference ship-based measurements.
Figure 4.
Quality analysis of the atmosphere correction of satellite data. Examples of the comparison of ship and satellite estimations of ROC2. Left column shows MODIS/Terra measurements (a,c), right column shows MODIS/Aqua measurements (b,d).
Figure 4.
Quality analysis of the atmosphere correction of satellite data. Examples of the comparison of ship and satellite estimations of ROC2. Left column shows MODIS/Terra measurements (a,c), right column shows MODIS/Aqua measurements (b,d).
Figure 5.
Remote sensing and in situ measurements of bio-optical and hydrophysical parameters in the Bering Sea: (a) spectral remote sensed reflectance measured above the water; (b) scatterplot of flow-through measurements of seawater temperature and salinity in Practical Salinity Units (PSU); (c) scatterplot of flow-through measurements of “optically weighted” chl-a concentration and CDOM content; (d) scatterplot of flow-through measurements of “optically weighed” CDOM content and seawater salinity.
Figure 5.
Remote sensing and in situ measurements of bio-optical and hydrophysical parameters in the Bering Sea: (a) spectral remote sensed reflectance measured above the water; (b) scatterplot of flow-through measurements of seawater temperature and salinity in Practical Salinity Units (PSU); (c) scatterplot of flow-through measurements of “optically weighted” chl-a concentration and CDOM content; (d) scatterplot of flow-through measurements of “optically weighed” CDOM content and seawater salinity.
Figure 6.
Spectral distribution of R2L and MAEL for the comparison of Dins and Drs calculated using Formula (9) from ASD hyperspectral data using ROC2(λD) band ratio indices.
Figure 6.
Spectral distribution of R2L and MAEL for the comparison of Dins and Drs calculated using Formula (9) from ASD hyperspectral data using ROC2(λD) band ratio indices.
Figure 7.
Scatterplots of the logarithms of in situ CDOM content (Dins) (a,c,e) or chl-a concentrations (Cins) (b,d,f) versus ROC2 band ratio index for the first three spectral ranges considered: b1 (a,b), b2 (c,d), and b3 (e,f). Band ratio values were obtained by applying OLCI/S3A spectral response functions to shipborne hyperspectral measurements collected using an ASD radiometer.
Figure 7.
Scatterplots of the logarithms of in situ CDOM content (Dins) (a,c,e) or chl-a concentrations (Cins) (b,d,f) versus ROC2 band ratio index for the first three spectral ranges considered: b1 (a,b), b2 (c,d), and b3 (e,f). Band ratio values were obtained by applying OLCI/S3A spectral response functions to shipborne hyperspectral measurements collected using an ASD radiometer.
Figure 8.
Spectral distribution of R2L and MAEL for the comparison of Cins and Crs calculated using Formula (8) from ASD hyperspectral data using ROC2(λC) band ratio indices.
Figure 8.
Spectral distribution of R2L and MAEL for the comparison of Cins and Crs calculated using Formula (8) from ASD hyperspectral data using ROC2(λC) band ratio indices.
Figure 9.
Scatterplots of the logarithms of in situ CDOM content (Dins) (a,c,e,g) or chl-a concentrations (Cins) (b,d,f,h)versus ROC2 band ratio index for the b5 (a,b) and b6 (c,d) spectral ranges and versus ROC3 (e,f) and ROC4 (g,h). Band ratio values were obtained by applying OLCI/S3A spectral response functions to shipborne hyperspectral measurements collected using an ASD radiometer.
Figure 9.
Scatterplots of the logarithms of in situ CDOM content (Dins) (a,c,e,g) or chl-a concentrations (Cins) (b,d,f,h)versus ROC2 band ratio index for the b5 (a,b) and b6 (c,d) spectral ranges and versus ROC3 (e,f) and ROC4 (g,h). Band ratio values were obtained by applying OLCI/S3A spectral response functions to shipborne hyperspectral measurements collected using an ASD radiometer.
Table 1.
Spectral bands in the 374–576 nm range available on analyzed satellite radiometers. Each cell contains information structured as λcenter (nm)/FWHM (nm).
Table 1.
Spectral bands in the 374–576 nm range available on analyzed satellite radiometers. Each cell contains information structured as λcenter (nm)/FWHM (nm).
Radiometer/Satellite | Sat ID | Spectral Bands (in nm) |
---|
b1 | b2 | b3 | b4 | b5 | b6 | b7 |
---|
374–403 | 404–424 | 431–454 | 456–475 | 476–500 | 501–539 | 540–576 |
---|
CZCS/Nimbus-7 | CN | – | – | 442.6/22.2 | – | – | 520.5/20.8 | 550.6/20.1 |
OCTS/ADEOS | CA | – | 412.4/17.5 | 442.9/19.9 | – | 490.2/22.8 | 516.4/14.7 | 565.1/19.2 |
OLCI/Sentinel-3A | OA | 399.9/14.0 | 411.9/9.8 | 443.0/9.9 | – | 490.5/10.0 | 510.4/10.0 | 560.4/10.0 |
OLCI/Sentinel-3B | OB | 400.3/13.3 | 411.9/9.9 | 443.0/9.9 | – | 490.4/10.0 | 510.4/10.0 | 560.4/10.0 |
MERIS/EnviSat | ME | – | 412.5/9.9 | 442.5/9.9 | | 490.0/10.0 | 510.0/10.0 | 560.0/10.0 |
MODIS/Aqua, 1000 m | MA | – | 412.1/14.5 | 442.3/9.7 | | 487.5/10.7 | 530.2/12.0 | 547.4/10.4 |
MODIS/Terra, 1000 m | MT | – | 411.6/14.7 | 442.2/9.7 | – | 487.1/10.6 | 529.8/12.0 | 547.0/10.3 |
MODIS/Aqua, 500 m | MA-HI | – | – | – | 466.1/18.9 | – | – | 554.0/19.8 |
MODIS/Terra, 500 m | MT-HI | – | – | – | 466.1/18.9 | – | – | 554.0/19.8 |
SeaWiFS/OrbView-2 | SO | | 413.3/20.1 | 443.9/19.6 | – | 491.1/20.6 | 510.1/22.4 | 554.6/18.3 |
SGLI/GCOM-C | SG | 379.8/10.6 | 412.4/10.4 | 443.2/10.1 | – | 489.8/10.3 | 529.5/19.1 | 566.1/19.8 |
VIIRS/Suomi-NPP | VS | – | 410.5/20.5 | 443.1/15.2 | – | 486.2/19.3 | – | 550.7/19.8 |
VIIRS/JPSS-1 | VJ | – | 410.9/18.2 | 444.8/17.1 | – | 488.7/19.1 | – | 556.5/18.1 |
Table 2.
The number of points in each type of data used.
Table 2.
The number of points in each type of data used.
In Situ Measurements | Shipborne Remote Sensing Hyperspectral Measurements | Satellite Multispectral Remote Sensing Measurements | Simulated Multispectral Values |
---|
MA | MT | VS |
---|
54 | 54 | 47 | 48 | 48 | 54 |
Table 3.
Summary of the selected water types.
Table 3.
Summary of the selected water types.
Color | Location in the Bering Sea | Num. of Points | Characteristics | Time Periods |
---|
Green | Southwestern part of the sea | 15 | Low chl-a and low CDOM | 3, 4, 28 August 2013 |
Grey | Central part of the western side of the sea | 27 | Medium chl-a and medium CDOM | 4, 5, 27 August 2013 |
Black | Northwestern part of the sea | 1 | Similar to gray but with lower seawater temperature | 7 August 2013 |
Cyan | Central part of the western side of the sea | 6 | Similar to gray but with high chl-a and medium CDOM | 27 August 2013 |
Red | Southern part of Anadyr Bay | 4 | Medium chl-a and very high CDOM, low salinity | 26 August 2013 |
Magenta | Northern part of Anadyr Bay | 1 | Similar to red but with lower CDOM and higher salinity | 6 August 2013 |
Table 4.
R2L values for comparison between measured in situ CDOM content (Dins) and estimated remote sensed CDOM content (Drs) calculated using Formula (9) for spectral bands from b1 to b6. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
Table 4.
R2L values for comparison between measured in situ CDOM content (Dins) and estimated remote sensed CDOM content (Drs) calculated using Formula (9) for spectral bands from b1 to b6. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
Sat ID | | | | | | |
---|
CN | ----- | ----- | 0.77 | ----- | ----- | 0.57 |
CA | ----- | 0.84 | 0.74 | ----- | 0.62 | 0.55 |
OA | 0.87 | 0.85 | 0.74 | ----- | 0.62 | 0.56 |
OB | 0.87 | 0.85 | 0.74 | ----- | 0.62 | 0.56 |
ME | ----- | 0.85 | 0.75 | ----- | 0.62 | 0.57 |
MA | ----- | 0.86 | 0.78 | ----- | 0.66 | 0.54 |
MT | ----- | 0.87 | 0.78 | ----- | 0.66 | 0.55 |
MA-HI | ----- | ----- | ----- | 0.69 | ----- | ----- |
MT-HI | ----- | ----- | ----- | 0.69 | ----- | ----- |
SO | ----- | 0.85 | 0.75 | ----- | 0.63 | 0.58 |
SG | 0.86 | 0.84 | 0.74 | ----- | 0.62 | 0.51 |
VS | ----- | 0.86 | 0.77 | ----- | 0.65 | ----- |
VJ | ----- | 0.86 | 0.75 | ----- | 0.63 | ----- |
Table 5.
MAEL values for comparison between measured in situ CDOM content (Dins) and estimated remote sensed CDOM content (Drs) calculated using Formula (9) for spectral bands from b1 to b6. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
Table 5.
MAEL values for comparison between measured in situ CDOM content (Dins) and estimated remote sensed CDOM content (Drs) calculated using Formula (9) for spectral bands from b1 to b6. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
ID Sat | | | | | | |
---|
CN | ----- | ----- | 1.22 | ----- | ----- | 1.27 |
CA | ----- | 1.19 | 1.23 | ----- | 1.26 | 1.27 |
OA | 1.18 | 1.19 | 1.23 | ----- | 1.26 | 1.27 |
OB | 1.18 | 1.19 | 1.23 | ----- | 1.26 | 1.27 |
ME | ----- | 1.19 | 1.23 | ----- | 1.26 | 1.27 |
MA | ----- | 1.18 | 1.22 | ----- | 1.25 | 1.27 |
MT | ----- | 1.18 | 1.22 | ----- | 1.25 | 1.27 |
MA-HI | ----- | ----- | ----- | 1.24 | ----- | ----- |
MT-HI | ----- | ----- | ----- | 1.24 | ----- | ----- |
SO | ----- | 1.19 | 1.23 | ----- | 1.25 | 1.26 |
SG | 1.18 | 1.19 | 1.23 | ----- | 1.26 | 1.28 |
VS | ----- | 1.18 | 1.22 | ----- | 1.25 | ----- |
VJ | ----- | 1.18 | 1.23 | ----- | 1.25 | ----- |
Table 6.
R2L values for comparison between measured in situ chl-a concentration (Cins) and estimated remote sensed chl-a concentrations (Crs) calculated using Formula (8) for different band ratio indices. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
Table 6.
R2L values for comparison between measured in situ chl-a concentration (Cins) and estimated remote sensed chl-a concentrations (Crs) calculated using Formula (8) for different band ratio indices. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
ID Sat | | | | | | | | |
---|
CN | ----- | ----- | 0.66 | ----- | ----- | 0.82 | 0.82 * | ----- |
CA | ----- | 0.52 | 0.7 | ----- | 0.8 | 0.81 | 0.82 | 0.83 |
OA | 0.43 | 0.5 | 0.69 | ----- | 0.81 | 0.81 | 0.82 | 0.83 |
OB | 0.43 | 0.5 | 0.69 | ----- | 0.81 | 0.81 | 0.82 | 0.83 |
ME | ----- | 0.51 | 0.69 | ----- | 0.81 | 0.81 | 0.81 | 0.83 |
MA | ----- | 0.46 | 0.65 | ----- | 0.78 | 0.82 | 0.79 | 0.81 |
MT | ----- | 0.44 | 0.65 | ----- | 0.78 | 0.82 | 0.79 | 0.81 |
MA-HI | ----- | ----- | ----- | 0.76 | ----- | ----- | ----- | ----- |
MT-HI | ----- | ----- | ----- | 0.76 | ----- | ----- | ----- | ----- |
SO | ----- | 0.49 | 0.69 | ----- | 0.8 | 0.81 | 0.81 | 0.83 |
SG | 0.32 | 0.52 | 0.7 | ----- | 0.8 | 0.8 | 0.81 | 0.84 |
VS | ----- | 0.45 | 0.67 | ----- | 0.79 | ----- | 0.8 | ----- |
VJ | ----- | 0.48 | 0.69 | ----- | 0.8 | ----- | 0.81 | ----- |
Table 7.
MAEL values for comparison between measured in situ chl-a concentrations (Cins) and estimated remote sensed chl-a concentrations (Crs) calculated using Formula (8) for different band ratios. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
Table 7.
MAEL values for comparison between measured in situ chl-a concentrations (Cins) and estimated remote sensed chl-a concentrations (Crs) calculated using Formula (8) for different band ratios. Columns with the best results are highlighted in green, and columns with mediocre, but acceptable results are highlighted in yellow.
ID Sat | | | | | | | | |
---|
CN | ----- | ----- | 1.62 | ----- | ----- | 1.46 | 1.41 * | ----- |
CA | ----- | 1.79 | 1.58 | ----- | 1.47 | 1.47 | 1.44 | 1.41 |
OA | 1.89 | 1.81 | 1.58 | ----- | 1.47 | 1.46 | 1.44 | 1.42 |
OB | 1.89 | 1.81 | 1.58 | ----- | 1.47 | 1.46 | 1.44 | 1.42 |
ME | ----- | 1.8 | 1.59 | ----- | 1.47 | 1.46 | 1.44 | 1.42 |
MA | ----- | 1.85 | 1.62 | ----- | 1.49 | 1.45 | 1.47 | 1.43 |
MT | ----- | 1.86 | 1.62 | ----- | 1.49 | 1.45 | 1.47 | 1.43 |
MA-HI | ----- | ----- | ----- | 1.5 | ----- | ----- | ----- | ----- |
MT-HI | ----- | ----- | ----- | 1.5 | ----- | ----- | ----- | ----- |
SO | ----- | 1.82 | 1.58 | ----- | 1.47 | 1.46 | 1.45 | 1.42 |
SG | 2.01 | 1.79 | 1.58 | ----- | 1.47 | 1.49 | 1.44 | 1.41 |
VS | ----- | 1.87 | 1.61 | ----- | 1.48 | ----- | 1.46 | ----- |
VJ | ----- | 1.83 | 1.58 | ----- | 1.47 | ----- | 1.45 | ----- |
Table 8.
Quality of applying the global bio-optical algorithms presented at
https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/ (accessed on 15 November 2022) to an estimation of chl-a concentration from shipboard remote sensed hyperspectral data by applying the corresponding spectral response function (srf). Statistical metrics were calculated by the comparison of in situ chl-a measurements (
Cins) and remote sensed estimations
Crs. The best results are highlighted in green, mediocre in yellow, and worst in orange.
Table 8.
Quality of applying the global bio-optical algorithms presented at
https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/ (accessed on 15 November 2022) to an estimation of chl-a concentration from shipboard remote sensed hyperspectral data by applying the corresponding spectral response function (srf). Statistical metrics were calculated by the comparison of in situ chl-a measurements (
Cins) and remote sensed estimations
Crs. The best results are highlighted in green, mediocre in yellow, and worst in orange.
Global Bio-Optical Algorithm | Default Satellite Sensor | Applied srf | MAEL | BiasL | R2L |
---|
OC4 | SeaWiFS | SO | 1.44 | 1.05 | 0.82 |
OC4E | MERIS | ME | 1.45 | 1.05 | 0.82 |
OC4O | OCTS | CA | 1.5 | 1.2 | 0.79 |
OC3S | SeaWiFS | SO | 1.49 | 1.07 | 0.79 |
OC3M | MODIS | MA | 1.5 | 1.05 | 0.77 |
OC3M | MODIS | MT | 1.51 | 1.04 | 0.77 |
OC3V | VIIRS | VS | 1.51 | 1.08 | 0.77 |
OC3V | VIIRS | VJ | 1.54 | 1.18 | 0.77 |
OC3E | MERIS | ME | 1.49 | 1.07 | 0.79 |
OC3O | OCTS | CA | 1.54 | 1.19 | 0.76 |
OC3C | CZCS | CN * | 1.46 | 1.09 | 0.81 |
OC2S | SeaWiFS | SO | 1.53 | 0.97 | 0.78 |
OC2E | MERIS | ME | 1.52 | 0.99 | 0.78 |
OC2O | OCTS | CA | 1.56 | 1.1 | 0.76 |
OC2M | MODIS | MA | 1.51 | 0.98 | 0.77 |
OC2M | MODIS | MT | 1.51 | 0.98 | 0.77 |
OC2M-HI | MODIS, 500 m | MA | 1.66 | 1.01 | 0.68 |
OC2M-HI | MODIS, 500 m | MT | 1.66 | 1 | 0.68 |
Table 9.
Set of satellite regional bio-optical algorithms for the estimation of CDOM content in QSU units (in mg/m3) for the range 0.63–5.31 QSU and related recommendations.
Table 9.
Set of satellite regional bio-optical algorithms for the estimation of CDOM content in QSU units (in mg/m3) for the range 0.63–5.31 QSU and related recommendations.
Algorithm Name | Sensor Name | λD, nm | λb7, nm | d0 | d1 | MAEL | R2L |
---|
OC2-like algorithms using b2 spectral range in the case of very good atmosphere correction to obtain values independent from chl-a concentrations |
OC2b2-O | OLCI | 412 | 560 | 0.2362 | −0.6992 | 1.19 | 0.85 |
OC2b2-SG | SGLI | 412 | 566 | 0.2505 | −0.6759 | 1.19 | 0.84 |
OC2-like algorithms using b3 spectral range in the case of mediocre atmosphere correction and to estimate the order of magnitude of CDOM content |
OC2b3-CN | CZCS | 443 | 550 | 0.2141 | −0.8531 | 1.22 | 0.77 |
OC2b3-CA | OCTS | 443 | 565 | 0.2525 | −0.7339 | 1.23 | 0.74 |
OC2b3-ME | MERIS | 443 | 560 | 0.2233 | −0.7502 | 1.23 | 0.75 |
OC2b3-O | OLCI | 443 | 560 | 0.2241 | −0.7487 | 1.23 | 0.74 |
OC2b3-M | MODIS | 443 | 547 | 0.2057 | −0.8810 | 1.22 | 0.78 |
OC2b3-SO | SeaWiFS | 443 | 555 | 0.2218 | −0.8147 | 1.23 | 0.75 |
OC2b3-SG | SGLI | 443 | 566 | 0.2394 | −0.7181 | 1.23 | 0.74 |
OC2b3-VS | VIIRS/SNPP | 443 | 551 | 0.2149 | −0.8637 | 1.22 | 0.77 |
OC2b3-VJ | VIIRS/JPSS-1 | 445 | 556 | 0.2222 | −0.7937 | 1.23 | 0.75 |
Table 10.
Set of satellite regional bio-optical algorithms for the estimation of chl-a concentration in mg/m3 for the range 0.17 to 9.29 mg/m3 and related recommendations.
Table 10.
Set of satellite regional bio-optical algorithms for the estimation of chl-a concentration in mg/m3 for the range 0.17 to 9.29 mg/m3 and related recommendations.
Algorithm Name | Sensor Name | λC, nm | λb7, nm | c0 | c1 | MAEL | R2L |
---|
OC2-like algorithm for MODIS high spatial resolution |
OC2b4-M-HI | MODIS-HI | 469 | 555 | 0.2077 | −1.886 | 1.5 | 0.76 |
OC2-like algorithms in the case of bad atmosphere correction or for values more independent of CDOM content |
OC2b6-CN | CZCS | 520 | 550 | 0.3231 | −5.3564 | 1.46 | 0.82 |
OC2b6-CA | OCTS | 516 | 565 | 0.4457 | −3.3162 | 1.47 | 0.81 |
OC2b6-ME | MERIS | 510 | 560 | 0.3421 | −3.0684 | 1.46 | 0.81 |
OC2b6-O | OLCI | 510 | 560 | 0.34215 | −3.0846 | 1.46 | 0.81 |
OC2b6-M | MODIS | 531 | 547 | 0.35465 | −9.5005 | 1.45 | 0.82 |
OC2b6-SO | SeaWIFS | 510 | 555 | 0.3498 | −3.4623 | 1.46 | 0.81 |
OC2b6-SG | SGLI | 529 | 566 | 0.4501 | −4.3752 | 1.49 | 0.8 |
OC2b5-VS | VIIRS/SNPP | 486 | 551 | 0.287 | −2.4257 | 1.48 | 0.79 |
OC2b5-VJ | VIIRS/JPSS-1 | 489 | 556 | 0.3077 | −2.2368 | 1.47 | 0.8 |
OC3-like and OC4-like algorithms for the precise estimation of chl-a concentration in the case of good atmosphere correction |
OC3b6-CN | CZCS | 443 > 520 | 550 | 0.3316 | −2.3556 | 1.41 | 0.82 |
OC4-CA | OCTS | 443 > 490 > 516 | 565 | 0.4244 | −1.994 | 1.41 | 0.83 |
OC4-ME | MERIS | 443 > 490 > 510 | 560 | 0.354 | −2.0469 | 1.42 | 0.83 |
OC4-M | OLCI | 443 > 488 > 531 | 547 | 0.3603 | −2.55815 | 1.43 | 0.81 |
OC4-O | MODIS | 443 > 490 > 510 | 560 | 0.3552 | −2.04175 | 1.42 | 0.83 |
OC4-SO | SeaWIFS | 443 > 490 > 510 | 555 | 0.3533 | −2.2356 | 1.42 | 0.83 |
OC4-SG | SGLI | 443 > 490 > 529 | 566 | 0.4242 | −2.0369 | 1.41 | 0.84 |
OC3b5-VS | VIIRS/SNPP | 443 > 486 | 551 | 0.2866 | −2.1739 | 1.46 | 0.8 |
OC3b5-VJ | VIIRS/JPSS-1 | 445 > 489 | 556 | 0.3057 | −2.0126 | 1.45 | 0.81 |