scholarly journals Remote Sensing and Environmental Sensitivity for Oil Spill in the Amazon, Brazil

10.5772/48001 ◽  
2012 ◽  
Author(s):  
Milena Andrade ◽  
Claudio Szlafsztei
Keyword(s):  
Remote Sensing ◽  
Oil Spill ◽  
Environmental Sensitivity

Remote Sensing in Oil Spill Handling in Offshore North West Java

2021 ◽  
Author(s):  
Audra Ligafinza ◽  
Farasdaq Muchibbus Sajjad ◽  
Mohammad Abdul Jabbar ◽  
Anggia Fatmawati ◽  
Alvin Derry Wirawan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Oil Spill ◽  
Environmental Damage ◽  
Satellite Imaging ◽  
North West ◽  
Novel Technologies ◽  
Oil Boom ◽  
Remediation Strategies ◽  
Restoration Strategies

Abstract During the blowout event, it is critical to track the oil spill to minimize environmental damage and optimize restoration cost. In this paper, we deliver our success story in handling oil spill from recent experiences. We utilize remote sensing technologies to establish our analysis and plan the remediation strategies. We also comprehensively discuss the techniques to analyze big data from the satellites, to utilize the downloaded data for forecasting, and to align the satellite information with restoration strategies. PHE relies on its principle to maintain minimum damage and ensures safety by dividing the steps into several aspects of monitoring, response (offshore and onshore), shoreline management and waste management. PHE utilizes latest development in survey by using satellite imaging, survey boat, chopper and UAV drone. Spill containment is done using several layers of oil boom to recover oil spill, complemented with skimmers and storage tanks. PHE encourages shoreline remediation using nets and manual recovery for capturing oil sludge. Using this combination of technologies, PHE is able to model and anticipate oil spill movement from the source up until the farthest shoreline. This enables real time monitoring and handling, therefore minimum environmental damage is ensured. PHE also employs prudent engineering design based on real time field condition in order to ensure the equipment are highly suited for the condition, as well as ensuring good supply chain of the material availability. This publication addresses the first offshore blowout mitigation and handling in Indonesia that uses novel technologies such as static oil boom, satellite imaging and integrated effort in handling shoreline damage. It is hoped that the experience can be replicated for other offshore operating contractors in Indonesia in designing blowout remediation.

Rebuttal to published article “Review of oil spill remote sensing” by M. Fingas and C. Brown

2015 ◽  
Vol 93 (1-2) ◽  
pp. 294-297 ◽  
Author(s):  
Jan Svejkovsky ◽  
Alun Lewis ◽  
Judd Muskat ◽  
Jørn Harald S. Andersen ◽  
Steve Benz ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Oil Spill

Integrated analysis of remote sensing and numerical oil drift simulations for improved oil spill preparedness capabilities

2021 ◽  
Author(s):  
Camilla Brekke ◽  
Martine Espeseth ◽  
Knut-Frode Dagestad ◽  
Johannes Röhrs ◽  
Lars Hole ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soybean Oil ◽  
Oil Spill ◽  
Mineral Oil ◽  
The Arctic ◽  
Optical Data ◽  
Integrated Analysis ◽  
Geophysical Research ◽  
Oil Emulsion ◽  
Detection Capabilities

<p><strong>Integrated analysis of remote sensing and numerical oil drift simulations for </strong><strong>improved </strong><strong>oil spill preparedness capabilities</strong></p><p>Camilla Brekke<sup>1</sup>, Martine M. Espeseth<sup>1</sup>, Knut-Frode Dagestad<sup>2</sup>, Johannes Röhrs<sup>2</sup>, Lars Robert Hole<sup>2</sup>, and Andreas Reigber<sup>3</sup></p><p> </p><p><sup>1</sup>UiT The Arctic University of Norway, Tromsø, Norway</p><p><sup>2</sup>The Norwegian Meteorological Institute, Oslo, Norway</p><p><sup>3</sup>DLR, Microwaves and Radar Institute, Oberpfaffenhofen-Weßling, Germany</p><p> </p><p>We present results from a successfully conducted free-floating oil spill field experiment followed by an integrated analysis of remotely sensed data and drift simulations. The experiment took place in the North Sea in the summer of 2019 during Norwegian Clean Seas Association for Operating Companies’ annual oil-on-water exercise. Two types of oils were applied: a mineral oil emulsion and a soybean oil emulsion. The dataset collected contains a collection of close-in-time radar (aircraft and space-borne) and optical data (aircraft, aerostat, and drone) acquisitions of the slicks. We compare oil drift simulations, applying various configurations of wind, wave, and current information, with observed slick positions and shape. We describe trajectories and dynamics of the spills, slick extent, and their evolution, and the differences in detection capabilities in optical instruments versus multifrequency quad-polarimetric synthetic aperture radar (SAR) imagery acquired by DLRs large-scale airborne SAR facility (F-SAR). When using the best available forcing from in situ data and forecast models, good agreement with the observed position and extent are found in this study. The appearance in the optical images and the SAR time series from F-SAR were found to be different between the soybean and mineral oil types. Differences in mineral oil detection capabilities are found between SAR and optical imagery of thinner sheen regions. From a drifting perspective, the biological oil emulsions could replace the viscous similar mineral oil emulsion in future oil spill preparedness campaigns. However, from a remote sensing and wildlife perspective, the two oils have different properties. Depending on the practical application, further investigation on how the soybean oil impact the seabirds must be conducted in order to recommend the soybean oil as a viable substitute for mineral oil.</p><p> </p><p>This study is published as open access in Journalof Geophysical Research: Oceans[1], and we encourage the audience to read this article for detailed acquaintance with the work.</p><p> </p><p>Reference:</p><p>[1]Brekke, C., Espeseth, M. M., Dagestad, K.-F., Röhrs, J., Hole, L. R., & Reigber,A. (2021). Integrated analysis of multisensor datasets and oil driftsimulations—a free-floating oil experiment in the open ocean. Journalof Geophysical Research: Oceans, 126, e2020JC016499. https://doi.org/10.1029/2020JC016499</p>

Oil spill remote sensing

2007 ◽  
pp. 419-447 ◽  
Author(s):  
Merv Fingas ◽  
Carl E. Brown
Keyword(s):  
Remote Sensing ◽  
Oil Spill

scholarly journals Application of laser remote sensing technology and super continuous spectrum laser

2020 ◽  
Vol 165 ◽  
pp. 03002
Author(s):  
Li Jing ◽  
Che Ying ◽  
Jin Meishan ◽  
Zhai Yannan ◽  
Ding Changhong
Keyword(s):  
Remote Sensing ◽  
Continuous Spectrum ◽  
Oil Spill ◽  
Three Dimensional ◽  
High Energy ◽  
High Energy Density ◽  
Laser Radar ◽  
Laser Source ◽  
Spectral Information ◽  
Distant Target

Fiber optic super continuous spectrum laser technology is a new technology developed in recent years. It takes into account the advantages of good alignment of laser source, high energy density and wide wavelength range of ordinary white light source, which can not only accurately remote sense distant target, but also obtain hyperspectral information of distant target. Super continuous spectrum of laser radar is a kind of remote sensing monitoring instrument, it can obtain three-dimensional spectral information of the target, and can be accurately detected in the night of distant high spectral information, the all-weather, three-dimensional spectrum detection method with the traditional passive remote sensing compared with single/multiband laser radar technology has incomparable advantages. Based on the development trend of lidar abroad, the development status of super-continuous spectrum lidar in China and the problems in remote sensing detection of oil spill, this paper introduces the feasibility of using super-continuous spectrum laser to monitor oil spill in the sea, which lays a foundation for further research.

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