Reflection Spectra Coupling Analysis and Polarized Modeling of Optically Active Particles in Lakes
Author:
Pan Banglong1ORCID, Cheng Hongwei1, Du Shuhua2, Yu Hanming1, Tang Yi1, Shu Ying1, Du Juan1, Xie Huaming1
Affiliation:
1. School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei 230000, China 2. Institute of Geological Experiments of Anhui Province, Hefei 230000, China
Abstract
The coupling between optically active substances of algae particles and inorganic suspended solids of water makes the characteristics of reflection spectra of water complex and changeable. This makes modeling and inversion of polarization remote sensing in class II water difficult. In our study, considering the influence of the mixing ratio of algae particles and inorganic suspended solids, the sensor incidence angle, and the solar zenith angle on the polarization reflection spectrum, we analyzed the coupling characteristics of the polarized bidirectional reflectance of particulate matter through control experiments of mixed components of water particles in the laboratory. With Chaohu Lake in China as an example, the polarized reflectance coupling characteristics of water particles was investigated by the water-leaving radiation. The results showed that in the characteristic bands of 570, 675, and 705 nm, the degree of linear polarization (DOLP) was sensitive to the water-leaving radiation of the particles rather than to the reflectance. With the variation of observation angle, the reflection spectra were strongly interfered with by solar flare when the sensor zenith angle was close to 50° on the meridian plane with an azimuth angle of 180°, but DOLP was less affected, while also having a low correlation in the high concentration region. Combined with the coupling characteristics of particles at 675 and 705 nm, the model of DOLP ratio was established by partial least squares regression (PLSR) with a determination coefficient (R2) of 0.91, root mean square error (RMSE) 0.035, and a verification accuracy of 0.959. This shows that the model has better prediction ability for the coupling characteristics of water particles by the polarization reflection spectra and provides good support for mixed spectral unmixing of class II water.
Funder
Anhui Natural Science Research Foundation Anhui University Collaborative Innovation Fund Natural Science Foundation of colleges and universities in Anhui Province
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference42 articles.
1. Advanced characterization in clean water technologies;Bone;Joule,2020 2. Babichenko, S., Neyt, X., Mertikas, S.P., Bostater, C.R., Chen, P., Hao, Z., Wang, Y., Zhu, F., Chen, T., and He, X. (2017, January 11–12). Retrieval of total suspended particulate matter in highly turbid Hangzhou Bay waters based on geostationary ocean color imager. Proceedings of the Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, Warsaw, Poland. 3. Remote sensing of optical characteristics and particle distributions of the upper ocean using shipboard lidar;Collister;Remote Sens. Environ.,2018 4. Turbid underwater polarization patterns considering multiple mie scattering of suspended particles;Cheng;Photogramm. Eng. Remote Sens.,2020 5. Mukherjee, L., Zhai, P.-W., Gao, M., Hu, Y., Franz, B.A., and Werdell, P.J. (2020). Neural network reflectance prediction model for both open ocean and coastal waters. Remote Sens., 12.
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