Open AccessNumerically modelling the reflectance of a rough surface covered with diesel fuel based on bidirectional reflectance distribution function
Author(s) -
Ying Li,
Shuang Dong,
Qi Yu,
Ming Xie,
Zhichen Liu,
Zhanjun Ma
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.443178
Subject(s) - bidirectional reflectance distribution function , fresnel equations , reflection (computer programming) , remote sensing , reflectivity , oil spill , environmental science , diesel fuel , optics , diffuse reflection , materials science , geology , computer science , refractive index , physics , engineering , environmental engineering , waste management , programming language
Oil spills have become a problem that negatively affects the oceanic environment and maritime transportation. Optical remote sensing technology is a potential method to monitor oil spills by analyzing the reflectance spectra of oil-polluted and clean water surface. In this paper, a numerical model for the reflectance of a rough oil surface is constructed by combining Fresnel reflection and bidirectional reflectance distribution function (BRDF). The way that visible light is reflected from the rough diesel fuel surface is quantitatively described and discussed based on the reflection theory of electromagnetic waves. The simulation result of the proposed model shows reasonable agreement with experimental measurements. With reliable prediction and a low computational complexity, the proposed model is expected to provide a theorical basis for rapid detection of oil spills on rough sea surfaces using optical remote sensing technology.