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• W2893867673 abstract "Here, we present a proof-of-concept on remote sensing of ocean plastics using airborne shortwave infrared (SWIR) imagery. We captured red, green, and blue (RGB) and hyperspectral SWIR imagery with equipment mounted on a C-130 aircraft surveying the Great Pacific Garbage Patch at a height of 400 m and a speed of 140 knots. We recorded the position, size, color, and type (container, float, ghost net, rope, and unknown) of every plastic piece identified in the RGB mosaics. We then selected the top 30 largest items within each of our plastic type categories (0.6-6.8 m in length) to investigate SWIR spectral information obtained with a SASI-600 imager (950-2450 nm). Our analyses revealed unique SWIR spectral features common to plastics. The SWIR spectra obtained ( N = 118 items) were quite similar both in magnitude and shape. Nonetheless, some spectral variability was observed, likely influenced by differences in the object optical properties, the level of water submersion, and an intervening atmosphere. Our simulations confirmed that the ∼1215 and ∼1732 nm absorption features have potential applications in detecting ocean plastics from spectral information. We explored the potential of SWIR remote sensing technology for detecting and quantifying ocean plastics, thus provide relevant information to those developing better monitoring solutions for ocean plastic pollution." @default.
• W2893867673 created "2018-10-05" @default.
• W2893867673 creator A5015497725 @default.
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• W2893867673 date "2018-09-25" @default.
• W2893867673 modified "2023-10-11" @default.
• W2893867673 title "Sensing Ocean Plastics with an Airborne Hyperspectral Shortwave Infrared Imager" @default.
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• W2893867673 doi "https://doi.org/10.1021/acs.est.8b02855" @default.
• W2893867673 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30249095" @default.
• W2893867673 hasPublicationYear "2018" @default.
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