Abstract. Remote sensing of litter is foreseen to become an important source of
additional information relevant to scientific awareness about plastic
pollution. Here, we document directional hemispherical reflectance
measurements of anthropogenic and natural materials gathered along the
shorelines of the Chiloé Archipelago, Chile. These spectral observations
were completed in a Chilean laboratory using a state-of-the-art
hyperspectral HyLogger-3™ thermal infrared (TIR) spectrometer
starting from the medium-wave infrared spectrum (6 µm) and going to the longwave infrared
(14.5 µm) spectrum at 0.025 µm intervals. The samples we
investigated included sands, shells, algae, nautical ropes,
Styrofoam®, gunny sacks and several fragments of
plastic-based items. The apparent visible colours of these samples included
shades of black, blue, brown, green, orange, white and yellow. We grouped
the samples using robust statistical approaches (derivatives, peak-seeking
technique) and visual analyses of the derived hyperspectral reflectances. In
each group we derived an average or TIR end-member signal and determined
diagnostic wavebands. Most of the diagnostic wavebands picked were found to
be inside the atmospheric window of the TIR spectrum region. Furthermore,
this laboratory reference dataset and findings might become useful in
related field observations using similar thermal infrared technologies,
especially in identifying anomalies resulting from environmental and
meteorological perturbations. Validation and verification of proposed
diagnostic wavebands would be part of a continuing effort to advance TIR
remote sensing knowledge as well as support robust detection algorithm
development to potentially distinguish plastics in litter throughout the
natural environments. Data are available in open-access form via the online
repository PANGAEA, database of the World Data Center for Marine
Environmental Sciences: https://doi.org/10.1594/PANGAEA.919536 (Acuña-Ruz
and Mattar, 2020).