Observations of Optical Properties and Chlorophyll-a Concentration in Qiandao Lake Using Shipborne Lidar DOI Creative Commons

Xuan Sang,

Zhihua Mao, Youzhi Li

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4663 - 4663

Published: Dec. 13, 2024

Lidar technology is increasingly applied to the inversion of oceanic biological parameters and optical properties based on empirical semi-empirical bio-optical models. However, these models cannot be directly inland waters due their complex composition, research remains limited. In this study, Fernald method was employed retrieve vertical distribution in Qiandao Lake for first time using shipborne lidar data obtained June 2019. By quantifying depth-resolved contributions components, distributions chlorophyll-a concentration were mapped with greater precision. The lidar-estimated exhibited characteristic spatiotemporal distributions, which closely related water quality. At inflow Xin’an River, attenuation scattering coefficient showed a gradual increase depth. north–south-oriented reservoir area outflow Lake, an apparently continuous subsurface layer maximum signal occurred at approximately 3.5 m. profiles consistently classified as chlorophyll maxima, value fluctuating between 4 12 μg/L. phytoplankton observed depths ranging from 1.5 m, thickness 3 6 Furthermore, influences ratio Sp(z) reference bbp(zm) discussed significant sources error method. These results indicate that holds great potential long-term monitoring lakes.

Language: Английский

Lidar-Observed Diel Vertical Variations of Inland Chlorophyll a Concentration DOI Creative Commons

Hongkai Zhao,

Yudi Zhou,

Qiuling Gu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3579 - 3579

Published: Sept. 26, 2024

The diel vertical variations of chlorophyll a (Chl-a) concentration are thought primarily as an external manifestation regulating phytoplankton’s biomass, which is essential for dynamically estimating the biogeochemical cycle in inland waters. However, information on these limited due to insufficient measurements. Undersampled observations lead delayed responses phytoplankton assessment, impacting accurate evaluations carbon export and water quality dynamic Here, we report first lidar-observed Chl-a concentration. Strong agreement with r2 0.83 root mean square relative difference (RMSRD) 9.0% between lidar-retrieved situ measured verified feasibility Mie–fluorescence–Raman lidar (MFRL). An experiment conducted at fixed observatory demonstrated variations. results showed that formation subsurface layers were driven by light availability temperature. Furthermore, facilitation from solar radiation-regulated temperature growth rate was revealed high correlation anomalies. Lidar technology expected provide new insights into continuous three-dimension be great importance ecosystems.

Language: Английский

Citations

0
Observations of Optical Properties and Chlorophyll-a Concentration in Qiandao Lake Using Shipborne Lidar DOI Creative Commons

Xuan Sang,

Zhihua Mao, Youzhi Li

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(24), P. 4663 - 4663

Published: Dec. 13, 2024

Lidar technology is increasingly applied to the inversion of oceanic biological parameters and optical properties based on empirical semi-empirical bio-optical models. However, these models cannot be directly inland waters due their complex composition, research remains limited. In this study, Fernald method was employed retrieve vertical distribution in Qiandao Lake for first time using shipborne lidar data obtained June 2019. By quantifying depth-resolved contributions components, distributions chlorophyll-a concentration were mapped with greater precision. The lidar-estimated exhibited characteristic spatiotemporal distributions, which closely related water quality. At inflow Xin’an River, attenuation scattering coefficient showed a gradual increase depth. north–south-oriented reservoir area outflow Lake, an apparently continuous subsurface layer maximum signal occurred at approximately 3.5 m. profiles consistently classified as chlorophyll maxima, value fluctuating between 4 12 μg/L. phytoplankton observed depths ranging from 1.5 m, thickness 3 6 Furthermore, influences ratio Sp(z) reference bbp(zm) discussed significant sources error method. These results indicate that holds great potential long-term monitoring lakes.

Language: Английский

Citations

0