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Sensing Ocean Plastics with an Airborne Hyperspectral Shortwave Infrared Imager.
Garaba, Shungudzemwoyo P; Aitken, Jen; Slat, Boyan; Dierssen, Heidi M; Lebreton, Laurent; Zielinski, Oliver; Reisser, Julia.
Afiliación
  • Garaba SP; The Ocean Cleanup Foundation , Batavierenstraat 15 , Rotterdam 3014 JH , Netherlands.
  • Aitken J; Department of Marine Sciences, Avery Point Campus , University of Connecticut , 1080 Shennecossett Road , Groton , Connecticut 06340 , United States.
  • Slat B; Marine Sensor Systems Group, Institute for Chemistry and Biology of the Marine Environment , Carl von Ossietzky University of Oldenburg , Schleusenstraße 1 , Wilhelmshaven 26382 , Germany.
  • Dierssen HM; The Ocean Cleanup Foundation , Batavierenstraat 15 , Rotterdam 3014 JH , Netherlands.
  • Lebreton L; Teledyne Optech Inc. , 7225 Stennis Airport Road #300 , Kiln , Mississippi 39556 , United States.
  • Zielinski O; The Ocean Cleanup Foundation , Batavierenstraat 15 , Rotterdam 3014 JH , Netherlands.
  • Reisser J; Department of Marine Sciences, Avery Point Campus , University of Connecticut , 1080 Shennecossett Road , Groton , Connecticut 06340 , United States.
Environ Sci Technol ; 52(20): 11699-11707, 2018 10 16.
Article en En | MEDLINE | ID: mdl-30249095
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plásticos / Residuos de Alimentos Idioma: En Revista: Environ Sci Technol Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plásticos / Residuos de Alimentos Idioma: En Revista: Environ Sci Technol Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Estados Unidos