Literature DB >> 29421096

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

Lonneke Goddijn-Murphy1, Steef Peters2, Erik van Sebille3, Neil A James4, Stuart Gibb4.   

Abstract

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Marine environment; Plastic debris; Pollution; Remote sensing

Mesh:

Substances:

Year:  2017        PMID: 29421096     DOI: 10.1016/j.marpolbul.2017.11.011

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  3 in total

1.  On-Board, Real-Time Preprocessing System for Optical Remote-Sensing Imagery.

Authors:  Baogui Qi; Hao Shi; Yin Zhuang; He Chen; Liang Chen
Journal:  Sensors (Basel)       Date:  2018-04-25       Impact factor: 3.576

2.  Quantification of floating riverine macro-debris transport using an image processing approach.

Authors:  Tomoya Kataoka; Yasuo Nihei
Journal:  Sci Rep       Date:  2020-02-10       Impact factor: 4.379

3.  A Semi-Supervised Reduced-Space Method for Hyperspectral Imaging Segmentation.

Authors:  Giacomo Aletti; Alessandro Benfenati; Giovanni Naldi
Journal:  J Imaging       Date:  2021-12-07
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.