Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Marine & Wildlife Sign in to save

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

Marine Pollution Bulletin 2017 93 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Erik van Sebille Neil A. James, Neil A. James, Lonneke Goddijn‐Murphy, Lonneke Goddijn‐Murphy, Lonneke Goddijn‐Murphy, Lonneke Goddijn‐Murphy, Lonneke Goddijn‐Murphy, Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Steef Peters, Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Neil A. James, Steef Peters, Erik van Sebille Neil A. James, Neil A. James, Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Neil A. James, Neil A. James, Erik van Sebille Neil A. James, Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Stuart W. Gibb, Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Lonneke Goddijn‐Murphy, Erik van Sebille Lonneke Goddijn‐Murphy, Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille Erik van Sebille

Summary

Researchers developed a reflectance model for how sunlight interacts with floating plastic debris on the ocean surface, accounting for plastic color, transparency, and shape, as a foundational step toward a hyperspectral remote sensing algorithm capable of detecting marine macroplastics from aircraft or satellite.

There is growing global concern over the chemical, biological and ecological impact of plastics in the ocean. Remote sensing has the potential to provide long-term, global monitoring but for marine plastics it is still in its early stages. Some progress has been made in hyperspectral remote sensing of marine macroplastics in the visible (VIS) to short wave infrared (SWIR) spectrum. We present a reflectance model of sunlight interacting with a sea surface littered with macro plastics, based on geometrical optics and the spectral signatures of plastic and seawater. This is a first step towards the development of a remote sensing algorithm for marine plastic using light reflectance measurements in air. Our model takes the colour, transparency, reflectivity and shape of plastic litter into account. This concept model can aid the design of laboratory, field and Earth observation measurements in the VIS-SWIR spectrum and explain the results.

Read via DOI Download PDF

Share this paper

Post Share Share Pin Email