Remote Sensing Analysis of Oil Pollution in Augusta Bay, Sicily, Italy

1984 ◽  
pp. 165-182
Author(s):  
A. L. Geraci ◽  
T. Caltabino
Keyword(s):  
Remote Sensing ◽  
Oil Pollution

scholarly journals Oil spill remote monitoring by using remotely piloted aircraft

2019 ◽  
Vol 91 (4) ◽  
pp. 648-653
Author(s):  
Aleksandrs Urbahs ◽  
Vladislavs Zavtkevics
Keyword(s):  
Remote Sensing ◽  
Oil Spill ◽  
Multispectral Imaging ◽  
Oil Spills ◽  
Oil Pollution ◽  
Thickness Measurement ◽  
Quality Data ◽  
Atmospheric Conditions ◽  
Content Type ◽  
Remotely Piloted Aircraft

Purpose This paper aims to analyze the application of remotely piloted aircraft (RPA) for remote oil spill sensing. Design/methodology/approach This paper is an analysis of RPA strong points. Findings To increase the accuracy and eliminate potentially false contamination detection, which can be caused by external factors, an oil thickness measurement algorithm is used with the help of the multispectral imaging that provides high accuracy and is versatile for any areas of water and various meteorological and atmospheric conditions. Research limitations/implications SWOT analysis of implementation of RPA for remote sensing of oil spills. Practical implications The use of RPA will improve the remote sensing of oil spills. Social implications The concept of oil spills monitoring needs to be developed for quality data collection, oil pollution control and emergency response. Originality/value The research covers the development of a method and design of a device intended for taking samples and determining the presence of oil contamination in an aquatorium area; the procedure includes taking a sample from the water surface, preparing it for transportation and delivering the sample to a designated location by using the RPA. The objective is to carry out the analysis of remote oil spill sensing using RPA. The RPA provides a reliable sensing of oil pollution with significant advantages over other existing methods. The objective is to analyze the use of RPA employing all of their strong points. In this paper, technical aspects of sensors are analyzed, as well as their advantages and limitations.

Discrimination of plant stress caused by oil pollution and waterlogging using hyperspectral and thermal remote sensing

2013 ◽  
Vol 7 (1) ◽  
pp. 073476 ◽  
Author(s):  
Ebele Josephine Emengini ◽  
George Alan Blackburn ◽  
Julian Charles Theobald
Keyword(s):  
Remote Sensing ◽  
Oil Pollution ◽  
Plant Stress ◽  
Thermal Remote Sensing

Application of Remote Sensing in Detection of Ocean Oil Pollution

1998 ◽  
Vol 14 (3-4) ◽  
pp. 279-289
Author(s):  
J. T. Juang ◽  
K. S. Chen ◽  
C. F. Chen ◽  
L. Y. Chang
Keyword(s):  
Remote Sensing ◽  
Oil Pollution

scholarly journals Results of research in the field of remote sensing methods for detecting oil pollution on the water surface conducted at the RSHU

2020 ◽  
pp. 371-391
Author(s):  
P.P. Beskid ◽  
P. Yu. Bogdanov ◽  
V.A. Miklush ◽  
Т.М. Tatarnikova ◽  
E.A. Chernetsova ◽  
...  
Keyword(s):  
Higher Education ◽  
Remote Sensing ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Water Surface ◽  
Oil Pollution ◽  
Weather Conditions ◽  
Radar Systems ◽  
Remote Sensing Methods ◽  
Educational Potential

The article presents the scientific results which are a generalization of almost twenty years of experience of the staff of the department of information technology and security systems of the Russian State Hydrometeorological University in the field of remote sensing methods of oil pollution on the water surface. The choice of radar systems for the implementation of remote monitoring of the water surface on the characteristics of efficiency and coverage of the area of responsibility is substantiated. Structurally, the radar monitoring system should consist of a network of centimeter and millimeter range radar systems. The use of centimeter-range radar systems is due to the preservation of their operability during intense precipitation. Millimeter-wave radar systems are characterized by higher radar contrast, which significantly increases the effectiveness of environmental monitoring of water areas, their performance depending on the weather conditions. Thus, a combination of radars of two ranges allows continuous monitoring of the water area in any weather conditions. Radar systems are a recording module as part of an object monitoring system. The facility monitoring system, in addition to existing systems at the regional level, allows to receive information on the environmental situation promptly. This is especially true in case of emergency situations that occur during loading and transportation of oil products and other environmentally hazardous substances. The most significant result of many years of research is the concept of an automated distributed system for remote environmental monitoring of the water surface. For each module of the system, methods and models for processing spatial data and algorithms for the distribution of measuring instruments in the monitoring space are proposed. The purpose of the functioning of such a system is associated with detecting oil spills on the water surface, monitoring the dynamics of pollution and predicting the development of emergencies resulting from environmental disasters. International cooperation in the field of environmental protection is shown to be international in nature, the joint projects being an effective tool for development of scientific and educational potential of higher education in the field of ecology. Participation in international projects not only allows to increase the scientific and educational potential of higher education, but also influences the formation of environmental policy

New remote sensing applications for marine monitoring of oil pollution using UAV

2020 ◽  
Author(s):  
Oleg A. Bukin ◽  
Dmitriy Y. Proschenko ◽  
Alexey A. Chekhlenok ◽  
Denis A. Korovetskiy ◽  
Ilya O. Bukin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Oil Pollution ◽  
Marine Monitoring ◽  
Sensing Applications ◽  
Remote Sensing Applications

An Experimentally Studied Laser Fluorescence Method for Sensing Stress Situations of Oil-polluted Plants

2017 ◽  
pp. 1-11
Author(s):  
Yu. V. Fedotov ◽  
D. A. Kravtsov ◽  
A. A. Cherpakova ◽  
M. L. Belov ◽  
V. A. Gorodnichev
Keyword(s):  
Remote Sensing ◽  
Water Surface ◽  
Fluorescence Spectra ◽  
Oil Pollution ◽  
Laser Induced Fluorescence ◽  
Laser Fluorescence ◽  
Fluorescence Intensity Ratio ◽  
Laboratory Setup ◽  
The Earth ◽  
Study Results

Nowadays, one of the promising applications for the laser fluorescent analysis in remote sensing is to monitor oil pollution both on the water surface and on the earth one.A task to provide laser fluorescence remote sensing of oil pollution on the earth surface is much more difficult than that of to do the same on the water surface. The monitoring oil pollution laser fluorescence results can have no large reliability (lead to the great number of false alarms) because of the great number of disrupters (for example, plant fluorescence).However, plants available in the pipeline corridor may be not only disrupter, but also an oil pollution mark. Oil pollutions lead to developmental disorder of plants and induce their stress. The laser fluorescence methods can detect such stress situations.The paper concentrates on the experimental studies of laser fluorescence remote sensing method to detect the plant oil pollution stress situations for the eye-safe fluorescence excitation wavelength of 355 nm.A laboratory setup was designed to study spectra of laser-induced fluorescence of plants. In the laboratory setup the third harmonic of the Nd-YAG laser at the eye-safe wavelength of 355 nm was used as a fluorescence-exciting source. The laser-induced fluorescence spectra of plants were measured within 380 – 780 nm spectrum range.The experimental study results of laser-induced fluorescence spectra of plants in normal and stress situations caused by oil pollution are given for the eye-safe fluorescence- exciting wavelength ofThe paper shows that the analysis of recorded laser-induced fluorescence spectra allows us to detect stress situations caused by oil pollution. An identifiable factor to characterise a profile deformation of the laser-induced fluorescence spectrum for stress situations may be a fluorescence intensity ratio in the spectral ranges of 680…690 nm and 730…740 nm.

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