Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters
A performance evaluation of ocean color chlorophyll-a algorithms was conducted based on the in situ fluorescence chlorophyll concentration (Fchl) measured by a sensor on the buoy SiMCosta-SC01 in coastal waters of South Brazil. The operational algorithms are used in MODIS and VIIRS sensors to deriv...
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Instituto Oceanográfico da Universidade de São Paulo
2024-04-01
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| Series: | Ocean and Coastal Research |
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| Online Access: | https://journals.usp.br/ocr/article/view/224229 |
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| author | Gabriel Serrato de Mendonça Silva Carlos Alberto Eiras Garcia |
| author_facet | Gabriel Serrato de Mendonça Silva Carlos Alberto Eiras Garcia |
| author_sort | Gabriel Serrato de Mendonça Silva |
| collection | DOAJ |
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A performance evaluation of ocean color chlorophyll-a algorithms was conducted based on the in situ fluorescence
chlorophyll concentration (Fchl) measured by a sensor on the buoy SiMCosta-SC01 in coastal waters of South Brazil.
The operational algorithms are used in MODIS and VIIRS sensors to derive satellite chlorophyll concentration (Csat). Fchl
values were successfully corrected for nonphotochemical quenching (NPQ) by an interpolation of sunrise and sunset
daily measurements. A laboratory-derived calibration coefficient was applied to convert the unquenching Fchl values into
chlorophyll concentration (Cflu). Overall, linear regression analysis between Cflu and Csat for both sensors showed good
results, with the coefficient of determination (R²) varying between 0.88 and 0.96, slopes between 0.92 and 1.02 and
intercepts between -0.17 and 0.13. The MODIS algorithm (R² = 0.96, slope = 1.02, RMSE = 0.16 mg m-3, BIAS = 0.16 mg m-3,
for N = 222 and time interval ±1 h) presented slightly better performance than VIIRS (R² = 0.92, slope = 0.96, RMSE = 0.25
mg m-3, BIAS = -0.25 mg m-3, for N = 284 and time interval ±1 h). These results represent the most comprehensive satellite
data analysis for this region, suggesting that the approach may be applicable to other SiMCosta buoys
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| format | Article |
| id | doaj-art-2a67b4feeb7f47b0953d6a0a61982fa8 |
| institution | OA Journals |
| issn | 2675-2824 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Instituto Oceanográfico da Universidade de São Paulo |
| record_format | Article |
| series | Ocean and Coastal Research |
| spelling | doaj-art-2a67b4feeb7f47b0953d6a0a61982fa82025-08-20T02:20:07ZengInstituto Oceanográfico da Universidade de São PauloOcean and Coastal Research2675-28242024-04-0169Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal WatersGabriel Serrato de Mendonça SilvaCarlos Alberto Eiras Garcia A performance evaluation of ocean color chlorophyll-a algorithms was conducted based on the in situ fluorescence chlorophyll concentration (Fchl) measured by a sensor on the buoy SiMCosta-SC01 in coastal waters of South Brazil. The operational algorithms are used in MODIS and VIIRS sensors to derive satellite chlorophyll concentration (Csat). Fchl values were successfully corrected for nonphotochemical quenching (NPQ) by an interpolation of sunrise and sunset daily measurements. A laboratory-derived calibration coefficient was applied to convert the unquenching Fchl values into chlorophyll concentration (Cflu). Overall, linear regression analysis between Cflu and Csat for both sensors showed good results, with the coefficient of determination (R²) varying between 0.88 and 0.96, slopes between 0.92 and 1.02 and intercepts between -0.17 and 0.13. The MODIS algorithm (R² = 0.96, slope = 1.02, RMSE = 0.16 mg m-3, BIAS = 0.16 mg m-3, for N = 222 and time interval ±1 h) presented slightly better performance than VIIRS (R² = 0.92, slope = 0.96, RMSE = 0.25 mg m-3, BIAS = -0.25 mg m-3, for N = 284 and time interval ±1 h). These results represent the most comprehensive satellite data analysis for this region, suggesting that the approach may be applicable to other SiMCosta buoys https://journals.usp.br/ocr/article/view/224229Ocean colorMODIS, VIIRSSouthern Brazilian Coastal Waterin situ fluorescence chlorophyll-a |
| spellingShingle | Gabriel Serrato de Mendonça Silva Carlos Alberto Eiras Garcia Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters Ocean and Coastal Research Ocean color MODIS , VIIRS Southern Brazilian Coastal Water in situ fluorescence chlorophyll-a |
| title | Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters |
| title_full | Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters |
| title_fullStr | Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters |
| title_full_unstemmed | Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters |
| title_short | Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters |
| title_sort | evaluation of ocean chlorophyll a remote sensing algorithms using in situ fluorescence data in southern brazilian coastal waters |
| topic | Ocean color MODIS , VIIRS Southern Brazilian Coastal Water in situ fluorescence chlorophyll-a |
| url | https://journals.usp.br/ocr/article/view/224229 |
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