24 October 2017 Research on visible and near infrared spectral-polarimetric properties of soil polluted by crude oil
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Proceedings Volume 10461, AOPC 2017: Optical Spectroscopy and Imaging; 104610L (2017) https://doi.org/10.1117/12.2283314
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
Hydrocarbon contaminated soil can impose detrimental effects on forest health and quality of agricultural products. To manage such consequences, oil leak indicators should be detected quickly by monitoring systems. Remote sensing is one of the most suitable techniques for monitoring systems, especially for areas which are uninhabitable and difficulty to access. The most available physical quantities in optical remote sensing domain are the intensity and spectral information obtained by visible or infrared sensors. However, besides the intensity and wavelength, polarization is another primary physical quantity associated with an optical field. During the course of reflecting light-wave, the surface of soil polluted by crude oil will cause polarimetric properties which are related to the nature of itself. Thus, detection of the spectralpolarimetric properties for soil polluted by crude oil has become a new remote sensing monitoring method. In this paper, the multi-angle spectral-polarimetric instrument was used to obtain multi-angle visible and near infrared spectralpolarimetric characteristic data of soil polluted by crude oil. And then, the change rule between polarimetric properties with different affecting factors, such as viewing zenith angle, incidence zenith angle of the light source, relative azimuth angle, waveband of the detector as well as different grain size of soil were discussed, so as to provide a scientific basis for the research on polarization remote sensing for soil polluted by crude oil.
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Hui-yan Shen, Pu-cheng Zhou, Bang-long Pan, "Research on visible and near infrared spectral-polarimetric properties of soil polluted by crude oil", Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 104610L (24 October 2017); doi: 10.1117/12.2283314; https://doi.org/10.1117/12.2283314
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