Hyperspectral Measurements, Parameterizations, and Atmospheric Correction of Whitecaps and Foam From Visible to Shortwave Infrared for Ocean Color Remote Sensing
Abstract:Breaking waves are highly reflective features on the sea surface that change the spectral properties of the ocean surface in both magnitude and spectral shape. Here, hyperspectral reflectance measurements of whitecaps from 400 to 2,500 nm were taken in Long Island Sound, USA of natural and manufactured breaking waves to explore new methods to estimate whitecap contributions to ocean color imagery. Whitecap reflectance was on average ∼40% in visible wavelengths and decreased significantly into the near infrared… Show more
“…Variability in the spectra was reported within 1 standard deviation and a median was also determined to be consistent with the literature (Dierssen, 2019;Russell et al, 2016;Zibordi et al, 2011). However, future measurements should include comprehensive uncertainty budgets to enable advanced error propagation efforts when data are assimilated into radiative transfer models.…”
Section: Discussionsupporting
confidence: 76%
“…Band-depth indexes are widely used as proxies for detection and quantification of optically active objects in natural environments (Clark, 1983(Clark, , 1999Dierssen, 2019). Absorption features are thus enhanced after being normalized by the continuum removal approach (Fig.…”
Abstract. Combating the imminent environmental problems associated with plastic litter
requires a synergy of monitoring strategies, clean-up efforts, policymaking
and interdisciplinary scientific research. Lately, remote sensing
technologies have been evolving into a complementary monitoring strategy
that might have future applications in the operational detection and
tracking of plastic litter at repeated intervals covering wide geospatial
areas. We therefore present a dataset of Lambertian-equivalent spectral
reflectance measurements from the ultraviolet (UV, 350 nm) to shortwave
infrared (SWIR, 2500 nm) of synthetic hydrocarbons (plastics). Spectral
reflectance of wet and dry marine-harvested, washed-ashore, and virgin
plastics was measured outdoors with a hyperspectral spectroradiometer.
Samples were harvested from the major accumulation zones in the Atlantic and
Pacific oceans, suggesting a near representation of plastic litter in global
oceans. We determined a representative bulk average spectral reflectance for
the dry marine-harvested microplastics dataset available at https://doi.org/10.21232/jyxq-1m66 (Garaba and Dierssen,
2019c). Similar absorption features were identified in the dry samples of
washed-ashore plastics: dataset available at https://doi.org/10.21232/ex5j-0z25 (Garaba and Dierssen,
2019a). The virgin pellets samples consisted of 11 polymer types
typically found in floating aquatic plastic litter: dataset available at
https://doi.org/10.21232/C27H34 (Garaba and
Dierssen, 2017). Magnitude and shape features of the spectral reflectance
collected were also evaluated for two scenarios involving dry and wet
marine-harvested microplastics: dataset available at https://doi.org/10.21232/r7gg-yv83 (Garaba and Dierssen,
2019b). Reflectance of wet marine-harvested microplastics was noted to be
lower in magnitude but had similar spectral shape to that of dry
marine-harvested microplastics. Diagnostic absorption features common in the
marine-harvested microplastics and washed-ashore plastics were identified at
∼931, 1215, 1417 and 1732 nm. In addition, we include metrics
for a subset of the marine-harvested microplastics related to particle
morphology, including sphericity and roundness. These datasets are also
expected to improve and expand the scientific evidence-based knowledge of
optical characteristics of common plastics found in aquatic litter.
Furthermore, these datasets have potential use in radiative transfer
simulations exploring the effects of plastics on ocean colour remote sensing
and developing algorithms applicable to remote detection of floating plastic
litter.
“…Variability in the spectra was reported within 1 standard deviation and a median was also determined to be consistent with the literature (Dierssen, 2019;Russell et al, 2016;Zibordi et al, 2011). However, future measurements should include comprehensive uncertainty budgets to enable advanced error propagation efforts when data are assimilated into radiative transfer models.…”
Section: Discussionsupporting
confidence: 76%
“…Band-depth indexes are widely used as proxies for detection and quantification of optically active objects in natural environments (Clark, 1983(Clark, , 1999Dierssen, 2019). Absorption features are thus enhanced after being normalized by the continuum removal approach (Fig.…”
Abstract. Combating the imminent environmental problems associated with plastic litter
requires a synergy of monitoring strategies, clean-up efforts, policymaking
and interdisciplinary scientific research. Lately, remote sensing
technologies have been evolving into a complementary monitoring strategy
that might have future applications in the operational detection and
tracking of plastic litter at repeated intervals covering wide geospatial
areas. We therefore present a dataset of Lambertian-equivalent spectral
reflectance measurements from the ultraviolet (UV, 350 nm) to shortwave
infrared (SWIR, 2500 nm) of synthetic hydrocarbons (plastics). Spectral
reflectance of wet and dry marine-harvested, washed-ashore, and virgin
plastics was measured outdoors with a hyperspectral spectroradiometer.
Samples were harvested from the major accumulation zones in the Atlantic and
Pacific oceans, suggesting a near representation of plastic litter in global
oceans. We determined a representative bulk average spectral reflectance for
the dry marine-harvested microplastics dataset available at https://doi.org/10.21232/jyxq-1m66 (Garaba and Dierssen,
2019c). Similar absorption features were identified in the dry samples of
washed-ashore plastics: dataset available at https://doi.org/10.21232/ex5j-0z25 (Garaba and Dierssen,
2019a). The virgin pellets samples consisted of 11 polymer types
typically found in floating aquatic plastic litter: dataset available at
https://doi.org/10.21232/C27H34 (Garaba and
Dierssen, 2017). Magnitude and shape features of the spectral reflectance
collected were also evaluated for two scenarios involving dry and wet
marine-harvested microplastics: dataset available at https://doi.org/10.21232/r7gg-yv83 (Garaba and Dierssen,
2019b). Reflectance of wet marine-harvested microplastics was noted to be
lower in magnitude but had similar spectral shape to that of dry
marine-harvested microplastics. Diagnostic absorption features common in the
marine-harvested microplastics and washed-ashore plastics were identified at
∼931, 1215, 1417 and 1732 nm. In addition, we include metrics
for a subset of the marine-harvested microplastics related to particle
morphology, including sphericity and roundness. These datasets are also
expected to improve and expand the scientific evidence-based knowledge of
optical characteristics of common plastics found in aquatic litter.
Furthermore, these datasets have potential use in radiative transfer
simulations exploring the effects of plastics on ocean colour remote sensing
and developing algorithms applicable to remote detection of floating plastic
litter.
“…Additional to contamination of the signal by other substances is the contamination from the environment. On the shoreline, the plastic debris signal can be masked by underlying and surrounding matter, whereas marine plastic debris floating in coastal and oceanic waters sunglint [81], whitecaps [82], bubbles [83] and high suspended sediment concentrations [84] affect reflectance at wavelengths greater than 1000 nm. Some of the planned hyperspectral sensors have greater signal-to-noise ratio (SNR) across the spectra than, for instance, MSI on Sentinel-2.…”
Section: Challenges and Opportunities For Remote Sensing Detection Ofmentioning
Sustained observations are required to determine the marine plastic debris mass balance and to support effective policy for planning remedial action. However, observations currently remain scarce at the global scale. A satellite remote sensing system could make a substantial contribution to tackling this problem. Here, we make initial steps towards the potential design of such a remote sensing system by: (1) identifying the properties of marine plastic debris amenable to remote sensing methods and (2) highlighting the oceanic processes relevant to scientific questions about marine plastic debris. Remote sensing approaches are reviewed and matched to the optical properties of marine plastic debris and the relevant spatio-temporal scales of observation to identify challenges and opportunities in the field. Finally, steps needed to develop marine plastic debris detection by remote sensing platforms are proposed in terms of fundamental science as well as linkages to ongoing planning for satellite systems with similar observation requirements.
“…These measurements show that whitecaps are not featureless in the NIR but have dips in reflectance that largely correspond to the absorption features of liquid water. Reflectance dips occur particularly at 750, 980, and 1150 nm, which have enhanced liquid water absorption, a result of multiple scattering in and around the subsurface bubbles and surface foam (Dierssen, 2019). Following Whitlock et al (1982), a simple model of whitecap reflectance based on the natural logarithm of water absorption can be used to describe the spectral shape of intense whitecaps generated by breaking waves into SWIR wavelengths (Dierssen, 2019).…”
Section: Pace Updates (Fwd Rt Studies): Remote Sensing Of Whitecap Prmentioning
confidence: 99%
“…Reflectance dips occur particularly at 750, 980, and 1150 nm, which have enhanced liquid water absorption, a result of multiple scattering in and around the subsurface bubbles and surface foam (Dierssen, 2019). Following Whitlock et al (1982), a simple model of whitecap reflectance based on the natural logarithm of water absorption can be used to describe the spectral shape of intense whitecaps generated by breaking waves into SWIR wavelengths (Dierssen, 2019). Moreover, the decrease in reflectance at these liquid water absorption bands is correlated with enhancements in reflectance of the whitecap across the spectrum.…”
Section: Pace Updates (Fwd Rt Studies): Remote Sensing Of Whitecap Prmentioning
The research frontiers of radiative transfer (RT) in coupled atmosphere-ocean systems are explored to enable new science and specifically to support the upcoming Plankton, Aerosol, Cloud ocean Ecosystem (PACE) satellite mission. Given (i) the multitude of atmospheric and oceanic constituents at any given moment that each exhibits a large variety of physical and chemical properties and (ii) the diversity of light-matter interactions (scattering, absorption, and emission), tackling all outstanding RT aspects related to interpreting and/or simulating light reflected by atmosphere-ocean systems becomes impossible. Instead, we focus on both theoretical and experimental studies of RT topics important to the science threshold and goal questions of the PACE mission and the measurement capabilities of its instruments. We differentiate between (a) forward (FWD) RT studies that focus mainly on sensitivity to influencing variables and/or simulating data sets, and (b) inverse (INV) RT studies that also involve the retrieval of atmosphere and ocean parameters. Our topics cover (1) the ocean (i.e., water body): absorption and elastic/inelastic scattering by pure water (FWD RT) and models for scattering and absorption by particulates (FWD RT and INV RT); (2) the airwater interface: variations in ocean surface refractive index (INV RT) and in whitecap reflectance (INV RT); (3) the atmosphere: polarimetric and/or hyperspectral remote sensing of aerosols (INV RT) and of gases (FWD RT); and (4) atmosphere-ocean systems: benchmark comparisons, impact of the Earth's sphericity and adjacency effects on space-borne observations, and scattering in the ultraviolet regime (FWD RT). We provide for each topic a summary of past relevant (heritage) work, followed by a discussion (for unresolved questions) and RT updates.
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