Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations
Using in situ remote sensing reflectance and inherent optical property (IOP) measurements, a near-infrared (NIR)-based IOP algorithm is developed and tuned for Lake Taihu, in order to derive the particle backscattering coefficient <i>b<sub>bp</sub></i>(<i>λ<...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/11/12/1426 |
| _version_ | 1823962076996960256 |
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| author | Wei Shi Menghua Wang Yunlin Zhang |
| author_facet | Wei Shi Menghua Wang Yunlin Zhang |
| author_sort | Wei Shi |
| collection | DOAJ |
| description | Using in situ remote sensing reflectance and inherent optical property (IOP) measurements, a near-infrared (NIR)-based IOP algorithm is developed and tuned for Lake Taihu, in order to derive the particle backscattering coefficient <i>b<sub>bp</sub></i>(<i>λ</i>), total absorption coefficient <i>a<sub>t</sub></i>(<i>λ</i>), dissolved and detrital absorption coefficient <i>a<sub>dg</sub></i>(<i>λ</i>), and phytoplankton absorption coefficient <i>a<sub>ph</sub></i>(<i>λ</i>), with satellite observations from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP). The IOP algorithm for Lake Taihu has a reasonably good accuracy. In fact, the determination coefficients between the retrieved and in situ IOPs are 0.772, 0.638, and 0.487 for <i>a<sub>t</sub></i>(<i>λ</i>), <i>a<sub>dg</sub></i>(<i>λ</i>), and <i>a<sub>ph</sub></i>(<i>λ</i>), respectively. The IOP products in Lake Taihu that have been derived from VIIRS-SNPP observations show significant spatial and temporal variations. Southern Lake Taihu features enhanced <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>), while northern Lake Taihu shows higher <i>a<sub>ph</sub></i>(<i>λ</i>). The seasonal and interannual variability of <i>a<sub>dg</sub></i>(<i>λ</i>) and <i>b<sub>bp</sub></i>(<i>λ</i>) in Lake Taihu is quantified and characterized with the highest <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>) in the winter, and the lowest in the summer. In the winter, <i>b<sub>bp</sub></i>(443) and <i>a<sub>dg</sub></i>(443) can reach over ~1.5 and ~5.0 m<sup>−1</sup>, respectively, while they are ~0.5−1.0 and ~2.0 m<sup>−1</sup> in the summer. This study shows that in Lake Taihu <i>a<sub>dg</sub></i>(<i>λ</i>) is the most significant IOP, while <i>a<sub>ph</sub></i>(<i>λ</i>) is the least in terms of the IOP values and contributions to remote sensing reflectance. The highest <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>) occurred in the winter between 2017−2018, and the lowest <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>) occurred in the summer of 2014. In comparison, the seasonal and interannual variability of mean <i>a<sub>ph</sub></i>(<i>λ</i>) for Lake Taihu is less significant, even though enhanced seasonal and interannual variability can be found in some parts of Lake Taihu, such as in the northern Lake Taihu region. |
| first_indexed | 2024-12-17T17:13:22Z |
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| id | doaj.art-0cdbe43e6c3b42adb13eaeb800cc0652 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-17T17:13:22Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0cdbe43e6c3b42adb13eaeb800cc06522022-12-21T21:40:00ZengMDPI AGRemote Sensing2072-42922019-06-011112142610.3390/rs11121426rs11121426Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite ObservationsWei Shi0Menghua Wang1Yunlin Zhang2National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, Center for Satellite Applications and Research, E/RA3, 5830 University Research Ct., College Park, MD 20740, USANational Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, Center for Satellite Applications and Research, E/RA3, 5830 University Research Ct., College Park, MD 20740, USAState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaUsing in situ remote sensing reflectance and inherent optical property (IOP) measurements, a near-infrared (NIR)-based IOP algorithm is developed and tuned for Lake Taihu, in order to derive the particle backscattering coefficient <i>b<sub>bp</sub></i>(<i>λ</i>), total absorption coefficient <i>a<sub>t</sub></i>(<i>λ</i>), dissolved and detrital absorption coefficient <i>a<sub>dg</sub></i>(<i>λ</i>), and phytoplankton absorption coefficient <i>a<sub>ph</sub></i>(<i>λ</i>), with satellite observations from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP). The IOP algorithm for Lake Taihu has a reasonably good accuracy. In fact, the determination coefficients between the retrieved and in situ IOPs are 0.772, 0.638, and 0.487 for <i>a<sub>t</sub></i>(<i>λ</i>), <i>a<sub>dg</sub></i>(<i>λ</i>), and <i>a<sub>ph</sub></i>(<i>λ</i>), respectively. The IOP products in Lake Taihu that have been derived from VIIRS-SNPP observations show significant spatial and temporal variations. Southern Lake Taihu features enhanced <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>), while northern Lake Taihu shows higher <i>a<sub>ph</sub></i>(<i>λ</i>). The seasonal and interannual variability of <i>a<sub>dg</sub></i>(<i>λ</i>) and <i>b<sub>bp</sub></i>(<i>λ</i>) in Lake Taihu is quantified and characterized with the highest <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>) in the winter, and the lowest in the summer. In the winter, <i>b<sub>bp</sub></i>(443) and <i>a<sub>dg</sub></i>(443) can reach over ~1.5 and ~5.0 m<sup>−1</sup>, respectively, while they are ~0.5−1.0 and ~2.0 m<sup>−1</sup> in the summer. This study shows that in Lake Taihu <i>a<sub>dg</sub></i>(<i>λ</i>) is the most significant IOP, while <i>a<sub>ph</sub></i>(<i>λ</i>) is the least in terms of the IOP values and contributions to remote sensing reflectance. The highest <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>) occurred in the winter between 2017−2018, and the lowest <i>b<sub>bp</sub></i>(<i>λ</i>) and <i>a<sub>dg</sub></i>(<i>λ</i>) occurred in the summer of 2014. In comparison, the seasonal and interannual variability of mean <i>a<sub>ph</sub></i>(<i>λ</i>) for Lake Taihu is less significant, even though enhanced seasonal and interannual variability can be found in some parts of Lake Taihu, such as in the northern Lake Taihu region.https://www.mdpi.com/2072-4292/11/12/1426VIIRSLake Taihusatellite ocean colorinherent optical propertyturbid waterslakes |
| spellingShingle | Wei Shi Menghua Wang Yunlin Zhang Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations Remote Sensing VIIRS Lake Taihu satellite ocean color inherent optical property turbid waters lakes |
| title | Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations |
| title_full | Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations |
| title_fullStr | Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations |
| title_full_unstemmed | Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations |
| title_short | Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations |
| title_sort | inherent optical properties in lake taihu derived from viirs satellite observations |
| topic | VIIRS Lake Taihu satellite ocean color inherent optical property turbid waters lakes |
| url | https://www.mdpi.com/2072-4292/11/12/1426 |
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