Concept for a hyperspectral remote sensing algorithm for floating macro plastics

被引:66
|
作者
Goddijn-Murphy, Lonneke [1 ]
Peters, Steef [2 ]
Van Sebille, Erik [3 ,4 ]
James, Neil A. [1 ]
Gibb, Stuart [1 ]
机构
[1] UHI NHC, Environm Res Inst, CfEE Bldg,Ormlie Rd, Thurso KW14 7EE, Scotland
[2] Water Insight BV, Wageningen, Netherlands
[3] Univ Utrecht, Inst Marine & Atmospher Res, Utrecht, Netherlands
[4] Imperial Coll London, Grantham Inst, London, England
基金
欧洲研究理事会;
关键词
Plastic debris; Remote sensing; Marine environment; Pollution; OPTICAL-PROPERTIES; OCEAN; DEBRIS; WATER; LAKES;
D O I
10.1016/j.marpolbul.2017.11.011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:255 / 262
页数:8
相关论文
共 50 条
  • [1] Marine floating raft aquaculture extraction of hyperspectral remote sensing images based decision tree algorithm
    Hou, Tingting
    Sun, Weiwei
    Chen, Chao
    Yang, Gang
    Meng, Xiangchao
    Peng, Jiangtao
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 111
  • [2] Ensemble Classification Algorithm for Hyperspectral Remote Sensing Data
    Chi, Mingmin
    Kun, Qian
    Benediktsson, Jon Atli
    Feng, Rui
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2009, 6 (04) : 762 - 766
  • [3] Concept of an Advanced Hyperspectral Remote Sensing System for Pipeline Monitoring
    Keskin, Goeksu
    Teutsch, Caroline D.
    Lenz, Andreas
    Middelmann, Wolfgang
    [J]. EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS VI, 2015, 9644
  • [4] Remote sensing plastics
    Burnside, William
    [J]. NATURE SUSTAINABILITY, 2018, 1 (10): : 534 - 534
  • [5] Remote sensing plastics
    William Burnside
    [J]. Nature Sustainability, 2018, 1 : 534 - 534
  • [6] A new algorithm for atmospheric correction of hyperspectral remote sensing data
    Montes, MJ
    Gao, BC
    Davis, CO
    [J]. GEO-SPATIAL IMAGE AND DATA EXPLOITATION II, 2001, 4383 : 23 - 30
  • [7] Performance analysis for RX algorithm in hyperspectral remote sensing images
    Chen, Hsien-Ting
    Ren, Hsuan
    [J]. IMAGING SPECTROMETRY XI, 2006, 6302
  • [8] Aerial hyperspectral remote sensing detection for maritime search and surveillance of floating small objects
    Park, Jae-Jin
    Park, Kyung-Ae
    Kim, Tae-Sung
    Oh, Sangwoo
    Lee, Moonjin
    [J]. ADVANCES IN SPACE RESEARCH, 2023, 72 (06) : 2118 - 2136
  • [9] A Short Survey of Hyperspectral Remote Sensing and Hyperspectral Remote Sensing Research At TUBITAK UZAY
    Sakarya, Ufuk
    Teke, Mustafa
    Demirkesen, Can
    Haliloglu, Onur
    Kozal, Ali Omer
    Deveci, Husne Seda
    Oztoprak, A. Feray
    Toreyin, Behcet Ugur
    Gurbuz, Sevgi Zubeyde
    [J]. 2015 7TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST), 2015, : 187 - 192
  • [10] Hyperspectral Remote Sensing Image Classification Based on ICA and SVM Algorithm
    Liang Liang
    Yang Min-hua
    Li Ying-fang
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30 (10) : 2724 - 2728