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Concept for a hyperspectral remote sensing algorithm for floating marine macro plastics.

Lonneke Goddijn-Murphy1, Steef Peters2, Erik van Sebille3

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|February 9, 2018
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Summary
This summary is machine-generated.

This study models how sunlight reflects off ocean plastics, a crucial step for developing remote sensing technology to monitor marine plastic pollution globally. The model considers plastic properties to improve detection accuracy.

Keywords:
Marine environmentPlastic debrisPollutionRemote sensing

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Area of Science:

  • Environmental Science
  • Oceanography
  • Remote Sensing Technology

Background:

  • Growing global concern exists regarding the chemical, biological, and ecological impacts of marine plastic pollution.
  • Remote sensing offers potential for long-term, global monitoring of ocean plastics, but the technology is still developing.
  • Hyperspectral remote sensing in the visible (VIS) to short-wave infrared (SWIR) spectrum shows promise for detecting marine macroplastics.

Purpose of the Study:

  • To present a reflectance model for sunlight interacting with a sea surface containing macro plastics.
  • To lay the groundwork for a remote sensing algorithm for marine plastic detection using light reflectance measurements.
  • To incorporate plastic characteristics like color, transparency, reflectivity, and shape into the model.

Main Methods:

  • Developed a reflectance model based on geometrical optics.
  • Incorporated spectral signatures of both plastic materials and seawater.
  • Accounted for physical properties of plastic litter, including color, transparency, reflectivity, and shape.

Main Results:

  • A conceptual model was created to simulate light reflectance from a sea surface with macro plastics.
  • The model integrates optical properties and physical characteristics of plastics and seawater.
  • This provides a foundational understanding for interpreting reflectance measurements in air.

Conclusions:

  • The developed reflectance model is a significant first step towards remote sensing algorithms for marine plastics.
  • This conceptual model can guide future laboratory, field, and Earth observation measurements in the VIS-SWIR spectrum.
  • It aids in explaining and improving the interpretation of remote sensing data for marine plastic detection.