The Dataset bibliography is updated periodically when new references are submitted by readers. If you would like your dataset publication included please send the details to Raisha Lovindeer using the following format:
Lastname1, Initials1., Lastname2, Initials2., etc. (Year). Full title of publication, Available online [url] from Name of Repository, DOI url
The data must meet the following requirements ‘Remote sensing’ AND ‘Marine Litter and debris’
Datasets Bibliography
Acuña-Ruz, T., and Mattar B., C. (2020). Thermal infrared spectral database of marine litter debris in Archipelago of Chiloé, Chile, Available online [https://pangaea.de/] from PANGAEA, https://doi.org/10.1594/PANGAEA.919536
Blondeau-Patissier, David; Schroeder, Thomas; Diakogiannis, Foivos; Li, Zhibin (2022): CSIRO Sentinel-1 SAR image dataset of oil- and non-oil features for machine learning (Deep Learning). v1. CSIRO. Data Collection. https://doi.org/10.25919/4v55-dn16
Daisuke, S, Mitsuko, H., Daisuke, M., Koshiro, M., and Shin’ichiro, K. (2022) The BeachLitter Dataset v2022. SEANOE. https://doi.org/10.17882/85472
de Vries, R. V. F., Garaba, S. P., and Royer, S.-J. (2023). Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from dry to wet and submerged state, Earth Syst. Sci. Data Discuss. [preprint], Available online [https://data.4tu.nl/] from 4TU, https://doi.org/10.5194/essd-
Garaba, S. P., Arias, M., Corradi, P., Harmel, T., de Vries, R., and Lebreton, L. (2021). Concentration, anisotropic and apparent colour effects on optical reflectance properties of virgin and ocean-harvested plastics, J. Hazard. Mater., 406, 124290, Dataset in Supplementary Material https://doi.org/10.1016/j.jhazmat.2020.124290
Garaba, S. P., Castagna, A., Devriese, L. I., Dierssen, H. M., Everaert, G., Knaeps, E., Sterckx, S. (2021). Spectral reflectance measurements of dry and wet plastic materials, asphalt, concrete klinker from UV-350 nm to SWIR-2500 nm around Spuikom, Belgium. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.937185
Garaba, S. P. and Dierssen, H. M. (2017). Spectral reference library of 11 types of virgin plastic pellets common in marine plastic debris, Available online [https://ecosis.org] from the Ecological Spectral Information System (EcoSIS), https://doi.org/10.21232/C27H34
Garaba, S. P. and Dierssen, H. M. (2019). Spectral reflectance of washed ashore macroplastics, Available online https://ecosis.org] from the Ecological Spectral Information System (EcoSIS), https://doi.org/10.21232/ex5j-0z25
Garaba, S. P. and Dierssen, H. M. (2019). Spectral reflectance of dry and wet marine-harvested microplastics from Kamilo Point, Pacific Ocean, Available online [https://ecosis.org] from the Ecological Spectral Information System (EcoSIS), https://doi.org/10.21232/r7gg-yv83
Garaba, S. P. and Dierssen, H. M. (2019). Spectral reflectance of dry marine-harvested microplastics from North Atlantic and Pacific Ocean, Available online [https://ecosis.org] from the Ecological Spectral Information System (EcoSIS), https://doi.org/10.21232/jyxq-1m66
Goddijn-Murphy, L. (2022). TISPLALI. Ocean Scan. https://www.oceanscan.org/dataset/ee6a58ca-af2c-4813-a7ba-f2a099544c9a. DOI: 10.5281/zenodo.6409151
Hueni, A. (2018) APEX and AVIRIS-NG hyperspectral georectified radiance of artificially distributed PET bottles in two different lakes in Switzerland (Hallwilersee and Greifensee). Available online https://ares-observatory.ch/data/
Hu, C. (2021). Floating matter reflectance from HICO. Available online [https://ecosis.org] from Ecological Spectral Information System (EcoSIS), https://doi.org/10.21232/74LvC3Kr
Kikaki, K., Kakogeorgiou, I., Mikeli, P., Raitsos, DE., Karantzalos, K. (2022). MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data. PLoS ONE 17(1): e0262247. https://doi.org/10.1371/
Knaeps, E., Strackx, G., Meire, D., Sterckx, S., Mijnendonckx, J., and Moshtaghi, M. (2020). Hyperspectral reflectance of marine plastics in the VIS to SWIR, Available online [https://data.4tu.nl/] from 4TU.Centre for Research Data, https://doi.org/10.4121/12896312.v2
Leone, G., Catarino, A., De Keukelaere, L., Bossaer, M., Knaeps, E., and Everaert, G. (2021) Hyperspectral reflectance dataset for dry, wet and submerged plastics in clear and turbid water. Available online from Marine Data Archive [https://marinedataarchive.org]. https://doi.org/10.14284/530
Maharjan N. (2022). Plastic detection in river using deep learning techniques. Available online [https://github.com] from Github, https://github.com/Nisha484/Nisha/tree/main/Datagithub
Papakonstantinou, Apostolos, Moustakas, Argyrios, Kolokoussis, Polychronis, Papageorgiou, Dimitrios, De Vries, Robin, & Topouzelis, Konstantinos. (2022). Airborne spectral reflectance dataset of submerged plastic targets in a coastal environment (SUPPLEMENTARY DATA FILES). Available online [https://zenodo.org] from Zenodo. https://doi.org/10.5281/zenodo.7043319
Tasseron P, van Emmerik T, Schreyers L, Biermann L, and Peller J. (2021) Hyperspectral plastics dataset supplementary to the paper ‘Advancing floating plastic detection from space using hyperspectral imagery, Available online [https://data.4tu.nl/] from 4TU.Centre for Research Data https://doi.org/10.4121/14518278.v3.
Topouzelis K. (2020) PLP2019 dataset, Available online [https://zenodo.org] from Zenodo,
http://doi.org/10.5281/zenodo.3752719
The fifth International Ocean Colour Science (IOCS) meeting will take place in St. Petersburg, FL, USA from 14 – 17 November 2023, and will be convened by the International Ocean Colour Coordinating Group (IOCCG) in partnership with the University of South Florida, and thanks to sponsorship from several sponsors.