State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill

Leifer, Ira; Lehr, William; Simecek-Beatty, Debra; Bradley, Eliza S.; Clark, R. N.; Dennison, Philip E.; Hu, Yongxiang; Matheson, Scott; Jones, Cathleen E.; Holt, Benjamin; Reif, Molly; Roberts, Dar A.; Svejkovsky, Jan; Swayze, Gregg A.; Wozencraft, Jennifer M.

doi:10.1016/j.rse.2012.03.024

Cited by 428 publications

(309 citation statements)

References 96 publications

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“…The phenomena should subtend multiple pixels with sufficient resolution for the operator to identify typical morphologies. The diagnostic shape of atmospheric plumes can be corroborated with ancillary wind information , while in the case of oil slicks thickness asymmetry and shape are useful cues (Leifer et al, 2012). For plumes, resolution can enhance detection sensitivity due to non-uniformity: many plumes are initially buoyant, rising abruptly in a column for tens of meters before dispersing downwind.…”

Section: Tactical Imaging Spectroscopymentioning

confidence: 99%

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

et al. 2015

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Abstract. Localized anthropogenic sources of atmospheric CH 4 are highly uncertain and temporally variable. Airborne remote measurement is an effective method to detect and quantify these emissions. In a campaign context, the science yield can be dramatically increased by real-time retrievals that allow operators to coordinate multiple measurements of the most active areas. This can improve science outcomes for both single-and multiple-platform missions. We describe a case study of the NASA/ESA CO 2 and MEthane eXperiment (COMEX) campaign in California during June and August/September 2014. COMEX was a multi-platform campaign to measure CH 4 plumes released from anthropogenic sources including oil and gas infrastructure. We discuss principles for real-time spectral signature detection and measurement, and report performance on the NASA Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG). AVIRIS-NG successfully detected CH 4 plumes in realtime at Gb s −1 data rates, characterizing fugitive releases in concert with other in situ and remote instruments. The teams used these real-time CH 4 detections to coordinate measurements across multiple platforms, including airborne in situ, airborne non-imaging remote sensing, and groundbased in situ instruments. To our knowledge this is the first reported use of real-time trace-gas signature detection in an airborne science campaign, and presages many future applications. Post-analysis demonstrates matched filter methods providing noise-equivalent (1σ ) detection sensitivity for 1.0 % CH4 column enhancements equal to 141 ppm m.

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Section: Tactical Imaging Spectroscopymentioning

confidence: 99%

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

et al. 2015

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“…Oil coating causes vegetation stress, damaging the canopy and ultimately changing leaf color and leading to vegetation mortality [64]. The spectral resolution of imaging spectroscopy is sufficient to enable discrimination between healthy and stressed vegetation and to monitor the impact of oil contamination [26].…”

Section: Cumulative Effect Of Oil Contamination and Hurricane Isaacmentioning

confidence: 99%

Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana

et al. 2017

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Abstract:Coastal ecosystems are greatly endangered due to anthropogenic development and climate change. Multiple disturbances may erode the ability of a system to recover from stress if there is little time between disturbance events. We evaluated the ability of the saltmarshes in Barataria Bay, Louisiana, USA, to recover from two successive disturbances, the DeepWater Horizon oil spill in 2010 and Hurricane Isaac in 2012. We measured recovery using vegetation indices and land cover change metrics. We found that after the hurricane, land loss along oiled shorelines was 17.8%, while along oil-free shorelines, it was 13.6% within the first 7 m. At a distance of 7-14 m, land loss from oiled regions was 11.6%, but only 6.3% in oil-free regions. We found no differences in vulnerability to land loss between narrow and wide shorelines; however, vegetation in narrow sites was significantly more stressed, potentially leading to future land loss. Treated oiled regions also lost more land due to the hurricane than untreated regions. These results suggest that ecosystem recovery after the two disturbances is compromised, as the observed high rates of land loss may prevent salt marsh from establishing in the same areas where it existed prior to the oil spill.

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“…Oil spills have been widely monitored, although RS data seem to only complement rather than fully replace airborne observations, due to the particularities of oil spills (Leifer et al 2012). SAR data are mainly used to detect oil spills in oceans, because of their all weather and illumination condition monitoring, wide coverage, and the ability to separate oil from surrounding water area, under low or moderate wind (Fingas and Brown 2014), where oil surface appears significantly smoother.…”

Section: Forestry Monitoringmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities.

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State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill

Cited by 428 publications

References 96 publications

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

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