title: [Experimental study of offshore oil thickness hyperspectral inversion based on bio-optical model].
abstract: Study on the regularity of thin oil film thickness and its reflectance plays an important role in understanding the mechanism of offshore oil slick and ocean hydrocarbon resources exploration. In this work, the thin oil film thickness of biological optical model is established, and introduced the simplified model of inversion thin oil film thickness information by using one single-band or by using two-band ratio image data. With the quantitative inversion test of thin oil film thickness through the natural shallow water and the crude oil sample, the variation rules of between oil spectral parameters and the thin oil film thickness are obtained. The study show that, the oil reflectance in visible and near infrared spectrum (450-800 nm) and the thin film thickness has high inverse correlation, and showed as negative exponent form decline with the increase of oil film thickness. Regarding the shallow water environment, the double band ratio inversion model of using ETM1/ETM3 band ratio can used to be eliminate the impact of sky scattering influence, and to overcome the single-band model fault of Inversion instability when used in different water quality regions, as the inversion result of the model's correlation coefficient can reach 0.98, which is considered to be the ideal hydrocarbon content remote sensing surveying band, and combined with other types of remote sensing technology (such as ultraviolet-laser or SAR), it would provide more economic and precision services of oil total amount infromation for offshore oil exploration and oil spill monitoring.
authors.affiliation: International Institute for Earth System Science, Nanjing University, Nanjing 210093, China. 123xiaojwei@163.com
authors.forename: Jian-wei
authors.initials: JW
authors.lastname: Xiao
authors.forename: Qing-jiu
authors.initials: QJ
authors.lastname: Tian
mesh_terms: D008962:Models, Theoretical; D061848:Optical Imaging / Q000379:methods*; D010578:Petroleum; D059392:Petroleum Pollution; D058998:Remote Sensing Technology
chemical_list: D010578:Petroleum