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

Corbari, L., Maltese, A., Capodici, F., Mangano, M. C., Sarà, G., & Ciraolo, G. (2020). Indoor spectroradiometric characterization of plastic litters commonly polluting the Mediterranean Sea: toward the application of multispectral imagery. Scientific Reports10(1), 19850. https://doi.org/10.1038/s41598-020-74543-6

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. and Garaba, S. P. (2023) Dataset of spectral reflectances and hypercubes of submerged plastic litter, including COVID-19 medical waste, pristine plastics, and ocean-harvested plastics, Available online [https://data.4tu.nl/] from 4TU,  https://doi.org/10.4121/769cc482-b104-4927-a94b-b16f6618c3b3.v1

de Vries, R. V. F., Garaba, S. P., and Royer, S.-J.(2023)  Dataset of spectral reflectances and hypercubes of submerged biofouled, pristine, and ocean-harvested marine litter, Available online [https://data.4tu.nl/] from 4TU, https://doi.org/10.4121/7c53b72a-be97-478b-9288-ff9c850de64b.v1

English, D. C., and Hu, C. (2020) Field and laboratory measured floating matter reflectance initial results, Data set. Available on-line [http://ecosis.org] from the Ecological Spectral Information System (EcoSIS), https://doi.org/10.21232/NxTTJsta

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/journal.pone.0262247

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

 

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