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Open AccessArticle

Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations

by 1,2,*, 1 and 3
1
National 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, USA
2
Cooperative Institute for Research in the Atmosphere at Colorado State University, Fort Collins, CO 80523, USA
3
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(12), 1426; https://doi.org/10.3390/rs11121426
Received: 29 April 2019 / Revised: 4 June 2019 / Accepted: 11 June 2019 / Published: 15 June 2019
(This article belongs to the Section Ocean Remote Sensing)
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 bbp(λ), total absorption coefficient at(λ), dissolved and detrital absorption coefficient adg(λ), and phytoplankton absorption coefficient aph(λ), 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 at(λ), adg(λ), and aph(λ), 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 bbp(λ) and adg(λ), while northern Lake Taihu shows higher aph(λ). The seasonal and interannual variability of adg(λ) and bbp(λ) in Lake Taihu is quantified and characterized with the highest bbp(λ) and adg(λ) in the winter, and the lowest in the summer. In the winter, bbp(443) and adg(443) can reach over ~1.5 and ~5.0 m−1, respectively, while they are ~0.5–1.0 and ~2.0 m−1 in the summer. This study shows that in Lake Taihu adg(λ) is the most significant IOP, while aph(λ) is the least in terms of the IOP values and contributions to remote sensing reflectance. The highest bbp(λ) and adg(λ) occurred in the winter between 2017–2018, and the lowest bbp(λ) and adg(λ) occurred in the summer of 2014. In comparison, the seasonal and interannual variability of mean aph(λ) 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. View Full-Text
Keywords: VIIRS; Lake Taihu; satellite ocean color; inherent optical property; turbid waters; lakes VIIRS; Lake Taihu; satellite ocean color; inherent optical property; turbid waters; lakes
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MDPI and ACS Style

Shi, W.; Wang, M.; Zhang, Y. Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations. Remote Sens. 2019, 11, 1426. https://doi.org/10.3390/rs11121426

AMA Style

Shi W, Wang M, Zhang Y. Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations. Remote Sensing. 2019; 11(12):1426. https://doi.org/10.3390/rs11121426

Chicago/Turabian Style

Shi, Wei; Wang, Menghua; Zhang, Yunlin. 2019. "Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations" Remote Sens. 11, no. 12: 1426. https://doi.org/10.3390/rs11121426

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