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.