Preprint Technical Note Version 1 Preserved in Portico This version is not peer-reviewed

Monte Carlo Radiative Transfer Simulation to Analyze the Spectral Index for Remote Detection of Oil Dispersed in the Southern Baltic Sea Seawater Column: The Role of Water Surface State

Version 1 : Received: 18 November 2021 / Approved: 19 November 2021 / Online: 19 November 2021 (12:28:40 CET)

A peer-reviewed article of this Preprint also exists.

Otremba, Z.; Piskozub, J. Monte Carlo Radiative Transfer Simulation to Analyze the Spectral Index for Remote Detection of Oil Dispersed in the Southern Baltic Sea Seawater Column: The Role of Water Surface State. Remote Sens. 2022, 14, 247. Otremba, Z.; Piskozub, J. Monte Carlo Radiative Transfer Simulation to Analyze the Spectral Index for Remote Detection of Oil Dispersed in the Southern Baltic Sea Seawater Column: The Role of Water Surface State. Remote Sens. 2022, 14, 247.

Abstract

The presented results of simulations take into account the optical parameters of the selected sea region (from literature data on the southern Baltic Sea) and two optically extreme types of crude oil (from historical data) which exist in the form of a highly diluted oil-in-water emulsion (10 ppm). The spectral index was analyzed based on the results of modelling the radiance reflectance distribution for almost an entire hemisphere of the sky (zenith angle from 0 to 80o). The spectral index was selected and is universal for all optically different types of oil (wavelengths 650 and 412 nm). The possibility of detecting pollution in the conditions of the wavy sea surface (as a result of wind of up to 10 m/s) was studied. It has been also shown that if the viewing direction is close to a direction perpendicular to the sea surface, observations aimed at determining the spectral index are less effective than observation under the zenith angle of incidence of sunlight for all azimuths excluding the direction of sunlight specular reflection.

Keywords

oil-in-water emulsion; seawater; oil pollution detection; radiance reflectance; Monte Carlo simulation, spectral index

Subject

Environmental and Earth Sciences, Oceanography

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