Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-713-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-713-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Mar 2021
Data description paper |
| 02 Mar 2021
| 02 Mar 2021
Hyperspectral-reflectance dataset of dry, wet and submerged marine litter
Flemish Institute for Technological Research (VITO), Boeretang, 200, 2400 Mol, Belgium
Sindy Sterckx
Flemish Institute for Technological Research (VITO), Boeretang, 200, 2400 Mol, Belgium
Gert Strackx
Flemish Institute for Technological Research (VITO), Boeretang, 200, 2400 Mol, Belgium
Johan Mijnendonckx
Flemish Institute for Technological Research (VITO), Boeretang, 200, 2400 Mol, Belgium
Mehrdad Moshtaghi
Flemish Institute for Technological Research (VITO), Boeretang, 200, 2400 Mol, Belgium
Shungudzemwoyo P. Garaba
Marine Sensor Systems Group, Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University of Oldenburg, Schleusenstraße 1, Wilhelmshaven 26382, Germany
Dieter Meire
Flanders Hydraulics Research, Berchemlei 115, 2140 Antwerp, Belgium
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33 citations as recorded by crossref.
- Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from a dry to wet and submerged state R. de Vries et al. 10.5194/essd-15-5575-2023
- Developing and testing a workflow to identify microplastics using near infrared hyperspectral imaging A. Faltynkova & M. Wagner 10.1016/j.chemosphere.2023.139186
- Identification of micro- and nanoplastics released from medical masks using hyperspectral imaging and deep learning I. Ishmukhametov et al. 10.1039/D2AN01139E
- Eliminating the interference of water for direct sensing of submerged plastics using hyperspectral near-infrared imager C. Zhu & Y. Kanaya 10.1038/s41598-023-39754-7
- Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery P. Tasseron et al. 10.3390/rs13122335
- Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis J. Guffogg et al. 10.3390/rs13224548
- MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data K. Kikaki et al. 10.1371/journal.pone.0262247
- High-precision density mapping of marine debris and floating plastics via satellite imagery H. Booth et al. 10.1038/s41598-023-33612-2
- Inshore marine litter detection using radiometric and geometric data of terrestrial laser scanners J. Yang et al. 10.1016/j.jag.2022.103149
- Beached Plastic Debris Index; a modern index for detecting plastics on beaches J. Guffogg et al. 10.1016/j.marpolbul.2024.117124
- Evaluation of historic and new detection algorithms for different types of plastics over land and water from hyperspectral data and imagery A. Castagna et al. 10.1016/j.rse.2023.113834
- Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images M. Iordache et al. 10.3390/rs14225820
- Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: A review N. Gnann et al. 10.1016/j.watres.2022.118902
- Airborne Spectral Reflectance Dataset of Submerged Plastic Targets in a Coastal Environment A. Papakonstantinou et al. 10.3390/data8010019
- A Hyperspectral Reflectance Database of Plastic Debris with Different Fractional Abundance in River Systems M. Olyaei et al. 10.1038/s41597-024-03974-x
- Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data S. Zhou et al. 10.1016/j.rse.2022.113263
- Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery P. Tasseron et al. 10.1029/2022EA002518
- Hyperspectral imaging for identification of irregular-shaped microplastics in water A. Gebejes et al. 10.1016/j.scitotenv.2024.173811
- Mapping terrestrial macroplastics and polymer-coated materials in an urban watershed using WorldView-3 and laboratory reflectance spectroscopy E. Aguilar et al. 10.1007/s10661-025-14125-z
- Riverine litter monitoring from multispectral fine pixel satellite images S. Garaba & Y. Park 10.1016/j.envadv.2023.100451
- Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms M. Olyaei & A. Ebtehaj 10.3390/rs16010172
- Hyperspectral Imaging for Mobile Robot Navigation K. Jakubczyk et al. 10.3390/s23010383
- Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics G. Leone et al. 10.5194/essd-15-745-2023
- Detection and Classification of Floating and Submerged Polluted Targets at Turbid Water Using Remote Sensing Hyperspectral Imaging A. Mahmoud et al. 10.1007/s12524-024-01871-9
- Indoor laboratory experiments for beach litter spectroradiometric analyses L. Corbari et al. 10.1038/s41598-024-74278-8
- On advances, challenges and potentials of remote sensing image analysis in marine debris and suspected plastics monitoring O. Karakuş 10.3389/frsen.2023.1302384
- Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging A. Mahmoud & Y. El-Sharkawy 10.1007/s11082-024-06564-8
- Detecting the Great Pacific Garbage Patch floating plastic litter using WorldView-3 satellite imagery Y. Park et al. 10.1364/OE.440380
- Hyperspectral imaging as an emerging tool to analyze microplastics: A systematic review and recommendations for future development A. Faltynkova et al. 10.1186/s43591-021-00014-y
- Optical identification of marine floating debris from Sentinel-2 MSI imagery using radiation signal difference X. Zhu et al. 10.1364/OL.554994
- Sentinel-2 Detection of Floating Marine Litter Targets with Partial Spectral Unmixing and Spectral Comparison with Other Floating Materials (Plastic Litter Project 2021) D. Papageorgiou et al. 10.3390/rs14235997
- A systematic review of state-of-the-art technologies for monitoring plastic seafloor litter M. Sandra et al. 10.1016/j.joes.2023.07.004
- Experimental observations of marginally detectable floating plastic targets in Sentinel-2 and Planet Super Dove imagery D. Papageorgiou & K. Topouzelis 10.1016/j.jag.2024.104245
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This paper describes a dataset consisting of 47 hyperspectral-reflectance measurements of plastic litter samples. The plastic litter samples include virgin and real samples. They were measured in dry conditions, and a selection of the samples were also measured in wet conditions and submerged in a water tank. The dataset can be used to better understand the effect of water absorption on the plastics and develop algorithms to detect and characterize marine plastics.
This paper describes a dataset consisting of 47 hyperspectral-reflectance measurements of...
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