Fluorescence LIDAR remote sensing of oils: merging spectral and time-decay measurements

Palombi, Lorenzo; Lognoli, David; Raimondi, Valentina

doi:10.1117/12.2030204

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…Looking broader, repeated global lidar observations of depth-resolved optical properties can aid in assessing upper ocean active mixing layers [80], understanding plankton distributions in the context of ocean physics, and quantifying materials exchange (for example, particulate carbon) between depth layers and export to the deep sea (particularly in conjunction with in situ assets, such as a global fleet of profiling autonomous floats). Finally, satellite lidar observations have a variety of applications for unique habitats and conditions, including near-shore bathymetry [81] and submerged vegetation mapping [82], water quality assessments, characterization of plankton properties both below sea ice and along the ice-water interface [11,83], and surface oil sensing [84]. Through interdisciplinary collaboration, lidar profiles of atmospheric properties can also contribute critical information for improving ocean color atmospheric correction approaches.…”

Section: On the Horizon-vision For A Lidar Era In Oceanographymentioning

confidence: 99%

Satellite Lidar Measurements as a Critical New Global Ocean Climate Record

Behrenfeld,

Lorenzoni,

et al. 2023

Remote Sensing

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The year 2023 marked the tenth anniversary of the first published description of global ocean plankton stocks based on measurements from a satellite lidar. Diverse studies have since been conducted to further refine and validate the lidar retrievals and use them to discover new characteristics of plankton seasonal dynamics and marine animal migrations, as well as evaluate geophysical products from traditional passive ocean color sensors. Surprisingly, all of these developments have been achieved with lidar instruments not designed for ocean applications. Over this same decade, we have witnessed unprecedented changes in ocean ecosystems at unexpected rates and driven by a multitude of environmental stressors, with a dominant factor being climate warming. Understanding, predicting, and responding to these ecosystem changes requires a global ocean observing network linking satellite, in situ, and modeling approaches. Inspired by recent successes, we promote here the creation of a lidar global ocean climate record as a key element in this envisioned advanced observing system. Contributing to this record, we announce the development of a new satellite lidar mission with ocean-observing capabilities and then discuss additional technological advances that can be envisioned for subsequent missions. Finally, we discuss how a potential near-term gap in global ocean lidar data might, at least partially, be filled using on-orbit or soon-to-be-launched lidars designed for other disciplinary purposes, and we identify upcoming needs for in situ support systems and science community development.

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Section: On the Horizon-vision For A Lidar Era In Oceanographymentioning

confidence: 99%

Satellite Lidar Measurements as a Critical New Global Ocean Climate Record

Behrenfeld,

Lorenzoni,

et al. 2023

Remote Sensing

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“…In addition, the laser fluorescent signal from oil pollution on the land surface is usually less than the laser fluorescent signal from oil pollution on the water surface (oil products are absorbed by the soil and the layer of fluorescent substance on the land surface is usually smaller than on the water surface). However, today the laser fluorescence method is the most effective method for detecting oil pollution on the earth's surface [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Experimental studies of a method for detecting oil pollution on the Earth's surface in the near-infrared range

Nguyen Minh,

Fedotov,

Baryshnikov

et al. 2024

Third International Conference on Digital Technologies, Optics, and Materials Science (DTIEE 2024)

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Laboratory experimental studies have been carried out on a method for detecting oil pollution on the earth's surface in the near-infrared range. In the spectral range of 900-2500 nm, reflection spectra of samples were obtained after spills on soil and sand of various brands of gasoline, commercial oil and motor oil, as well as kerosene, diesel fuel, gas condensate, engine coolant and vegetable oil. It has been shown that in the spectral range of about 1730 nm, dips appear in the reflection spectra caused by the absorption of hydrocarbons on a surface contaminated with oil products, which are especially pronounced in the case of an oil spill on sand. In the spectral range around 2300 nm, dips in the reflectance spectra are more noticeable in the case of oil spills on soil. Therefore, to increase the efficiency of the method for detecting oil pollution on the earth's surface in the near-infrared range, it is necessary to use measurement data both in the spectral region of about 1730 nm and in the spectral region of about 2300 nm.

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“…The task of laser monitoring of oil pollution on the earth's surface is difficult due to a large number of interfering factors -the influence of fluorescence of elements of the earth's landscape, and primarily vegetation [11][12][13][14][15][16] and water bodies [17][18][19]. This task is further complicated by the fact that for different grades of oil, the maxima of the laser-induced fluorescence spectra are in different spectral ranges [10,[19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

The choice of spectral ranges of registration for the fluorescent method for detecting leaks in oil pipelines at an excitation wavelength of 355 nm

Belov,

Nguyen Minh

2023

E3S Web of Conf.

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Mathematical modeling was carried out based on the experimentally measured fluorescence spectra of oil, vegetation and water to select the most effective spectral registration ranges for the fluorescent method for detecting oil leaks at an excitation wavelength of 355 nm. The results of mathematical modeling show that the probabilities of correct detection and false alarms for the problem of detecting oil leaks significantly depend on the type of oil and, accordingly, on the spectral channels selected for monitoring. For reliable detection of oil spills against the background of vegetation or water bodies, two or three spectral channels must be used. The highest probabilities of correct detection (>0.999) and small probabilities of false alarms (<0.04) can be achieved for oils with intensity maxima of laser-induced fluorescent radiation at wavelengths of ~ 420 and 550 nm (when using two spectral channels) and for oils with fluorescence intensity maximum at a wavelength of ~510 nm (when using three spectral channels). For oils with a maximum fluorescence intensity at a wavelength of about 475 nm (when using three spectral channels), the results are worse, although they remain acceptable (at a measurement noise of 10%, the probability of correct detection and false alarms, respectively, 0.94 and 0.11).

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Fluorescence LIDAR remote sensing of oils: merging spectral and time-decay measurements

Cited by 9 publications

References 12 publications

Satellite Lidar Measurements as a Critical New Global Ocean Climate Record

Satellite Lidar Measurements as a Critical New Global Ocean Climate Record

Experimental studies of a method for detecting oil pollution on the Earth's surface in the near-infrared range

The choice of spectral ranges of registration for the fluorescent method for detecting leaks in oil pipelines at an excitation wavelength of 355 nm

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