An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake
The frequency and spatial extent of cyanobacterial bloom outbreaks have increased in recent years due to climate warming and human activities, causing significant harm to inland water ecosystems. Phycocyanin (PC), a characteristic pigment of cyanobacteria, plays a crucial role in detecting cyanobact...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10820972/ |
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| author | Dajun Yuan Bo-Hui Tang Dong Wang Junyi Chen Zhen Zhang Zhitao Fu |
| author_facet | Dajun Yuan Bo-Hui Tang Dong Wang Junyi Chen Zhen Zhang Zhitao Fu |
| author_sort | Dajun Yuan |
| collection | DOAJ |
| description | The frequency and spatial extent of cyanobacterial bloom outbreaks have increased in recent years due to climate warming and human activities, causing significant harm to inland water ecosystems. Phycocyanin (PC), a characteristic pigment of cyanobacteria, plays a crucial role in detecting cyanobacterial blooms and providing early warnings. However, accurately estimating PC in turbid waters using remote sensing is challenging due to the optical complexity of most inland waters and the relatively weak optical signal of PC. To address this issue, an enhanced three-band algorithm (ETBA) is proposed for retrieving PC concentration in inland waters. Since the PC absorption feature at 620 nm is prone to interference from non-PC pigments, the algorithm incorporates the quantification of the absorption coefficient of non-PC pigments at 620 nm (<inline-formula><tex-math notation="LaTeX">${{{\bm{a}}}_{{\bm{ph}} - {\bm{pc}}}}( {620} )$</tex-math></inline-formula>) to improve the accurate of estimating <inline-formula><tex-math notation="LaTeX">${{{\bm{a}}}_{{\bm{pc}}}}( {620} )$</tex-math></inline-formula>. Using in situ observation data from Erhai Lake as an example, the results show that ETBA significantly outperforms the original three-band algorithm in mitigating interference from non-PC pigments. Among all the phycocyanin (PC) algorithms considered in this study, the Enhanced Three Band Algorithm (ETBA) achieved the lowest mean relative error (12.76%) and a goodness of fit of (<italic>R</italic><sup>2</sup> = 0.73), with the second lowest root mean square error of 0.37 μg/L. Therefore, the introduction of the ETBA has a direct positive impact on monitoring harmful algal blooms caused by cyanobacteria in inland and coastal water. |
| format | Article |
| id | doaj-art-adcc0e84ca8a427888bae23561d322f9 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-adcc0e84ca8a427888bae23561d322f92025-01-24T00:00:57ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01183654367010.1109/JSTARS.2024.352513210820972An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland LakeDajun Yuan0https://orcid.org/0009-0008-3287-8455Bo-Hui Tang1https://orcid.org/0000-0002-1918-5346Dong Wang2https://orcid.org/0000-0002-9499-7029Junyi Chen3https://orcid.org/0000-0001-8428-9259Zhen Zhang4https://orcid.org/0000-0002-2300-7112Zhitao Fu5https://orcid.org/0000-0002-1212-7186Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, ChinaThe frequency and spatial extent of cyanobacterial bloom outbreaks have increased in recent years due to climate warming and human activities, causing significant harm to inland water ecosystems. Phycocyanin (PC), a characteristic pigment of cyanobacteria, plays a crucial role in detecting cyanobacterial blooms and providing early warnings. However, accurately estimating PC in turbid waters using remote sensing is challenging due to the optical complexity of most inland waters and the relatively weak optical signal of PC. To address this issue, an enhanced three-band algorithm (ETBA) is proposed for retrieving PC concentration in inland waters. Since the PC absorption feature at 620 nm is prone to interference from non-PC pigments, the algorithm incorporates the quantification of the absorption coefficient of non-PC pigments at 620 nm (<inline-formula><tex-math notation="LaTeX">${{{\bm{a}}}_{{\bm{ph}} - {\bm{pc}}}}( {620} )$</tex-math></inline-formula>) to improve the accurate of estimating <inline-formula><tex-math notation="LaTeX">${{{\bm{a}}}_{{\bm{pc}}}}( {620} )$</tex-math></inline-formula>. Using in situ observation data from Erhai Lake as an example, the results show that ETBA significantly outperforms the original three-band algorithm in mitigating interference from non-PC pigments. Among all the phycocyanin (PC) algorithms considered in this study, the Enhanced Three Band Algorithm (ETBA) achieved the lowest mean relative error (12.76%) and a goodness of fit of (<italic>R</italic><sup>2</sup> = 0.73), with the second lowest root mean square error of 0.37 μg/L. Therefore, the introduction of the ETBA has a direct positive impact on monitoring harmful algal blooms caused by cyanobacteria in inland and coastal water.https://ieeexplore.ieee.org/document/10820972/Enhanced three-band algorithm (ETBA)ocean and land color instrument (OLCI)phycocyanin (PC)quantitative retrieval |
| spellingShingle | Dajun Yuan Bo-Hui Tang Dong Wang Junyi Chen Zhen Zhang Zhitao Fu An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Enhanced three-band algorithm (ETBA) ocean and land color instrument (OLCI) phycocyanin (PC) quantitative retrieval |
| title | An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake |
| title_full | An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake |
| title_fullStr | An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake |
| title_full_unstemmed | An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake |
| title_short | An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake |
| title_sort | enhanced three band algorithm for retrieving phycocyanin concentration from satellite data in plateau inland lake |
| topic | Enhanced three-band algorithm (ETBA) ocean and land color instrument (OLCI) phycocyanin (PC) quantitative retrieval |
| url | https://ieeexplore.ieee.org/document/10820972/ |
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