Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-77-2020
© Author(s) 2020. 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-12-77-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
13 Jan 2020
Data description paper |
| 13 Jan 2020
| 13 Jan 2020
Hyperspectral ultraviolet to shortwave infrared characteristics of marine-harvested, washed-ashore and virgin plastics
Shungudzemwoyo P. Garaba
CORRESPONDING AUTHOR
Marine Sensor Systems Group, Institute for Chemistry and Biology of
the Marine Environment, Carl von Ossietzky University of Oldenburg,
Schleusenstraße 1, Wilhelmshaven 26382, Germany
Heidi M. Dierssen
Department of Marine Sciences, Avery Point Campus, University of
Connecticut, 1080 Shennecossett Road, Groton, CT 06340, USA
Institute of Material Science, Storrs Campus, University of
Connecticut, 97 North Eagleville Road, Storrs, CT 06269-3136, USA
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43 citations as recorded by crossref.
- Concentration, anisotropic and apparent colour effects on optical reflectance properties of virgin and ocean-harvested plastics S. Garaba et al. 10.1016/j.jhazmat.2020.124290
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- 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
- Development of robust models for rapid classification of microplastic polymer types based on near infrared hyperspectral images T. Kitahashi et al. 10.1039/D1AY00110H
- Towards the Spectral Mapping of Plastic Debris on Beaches J. Guffogg et al. 10.3390/rs13091850
- Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery P. Tasseron et al. 10.3390/rs13122335
- An in situ hyperspectral dataset for typical aquatic vegetation Y. Fang et al. 10.1080/10095020.2024.2440653
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- Applications of remote sensing and GIS techniques for identifying of the plastic waste from space: Evidence from Khulna city corporation in Bangladesh M. Nahid Ferdous et al. 10.1016/j.cacint.2024.100179
- Detecting the Great Pacific Garbage Patch floating plastic litter using WorldView-3 satellite imagery Y. Park et al. 10.1364/OE.440380
- Automated System for Identifying Marine Floating Plastics to Enhance Sustainability in Coastal Environments Through Sentinel-2 Imagery and Machine Learning Models S. Venkatraman et al. 10.1007/s12601-024-00182-x
- Towards the Development of Portable and In Situ Optical Devices for Detection of Micro-and Nanoplastics in Water: A Review on the Current Status B. Asamoah et al. 10.3390/polym13050730
- 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
- Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment M. Moshtaghi et al. 10.1038/s41598-021-84867-6
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- Remote Sensing of Sea Surface Artificial Floating Plastic Targets with Sentinel-2 and Unmanned Aerial Systems (Plastic Litter Project 2019) K. Topouzelis et al. 10.3390/rs12122013
- Aerial Remote Sensing of Aquatic Microplastic Pollution: The State of the Science and How to Move It Forward D. Chabot & S. Marteinson 10.3390/microplastics3040042
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- Comparative Review of Remote Sensing Methods for Ocean Plastic Litter Detection T. Samuriwo et al. 10.1109/ACCESS.2024.3494660
- 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
- Marine debris induced by the Great East Japan Earthquake and Tsunami: A multi-sensor remote sensing assessment L. Qi et al. 10.1016/j.marpolbul.2024.116888
- Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q) M. Wolf et al. 10.1088/1748-9326/abbd01
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- Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics G. Leone et al. 10.5194/essd-15-745-2023
- Hyperspectral imaging for identification of irregular-shaped microplastics in water A. Gebejes et al. 10.1016/j.scitotenv.2024.173811
- Reproduction of the Marine Debris Distribution in the Seto Inland Sea Immediately after the July 2018 Heavy Rains in Western Japan Using Multidate Landsat-8 Data S. Song et al. 10.3390/rs13245048
- Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery P. Tasseron et al. 10.1029/2022EA002518
- Indoor laboratory experiments for beach litter spectroradiometric analyses L. Corbari et al. 10.1038/s41598-024-74278-8
- Portable analytics as a contemporary environmental microplastic research tool: The Pitches and Hitches S. Chun et al. 10.1016/j.teac.2024.e00234
- MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data K. Kikaki et al. 10.1371/journal.pone.0262247
- Rapid shipboard measurement of net-collected marine microplastic polymer types using near-infrared hyperspectral imaging A. Beck et al. 10.1007/s00216-023-04634-6
- An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea P. Hong et al. 10.1016/j.scitotenv.2023.168537
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- 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
- Hyperspectral-reflectance dataset of dry, wet and submerged marine litter E. Knaeps et al. 10.5194/essd-13-713-2021
- 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
- A Hyperspectral Reflectance Database of Plastic Debris with Different Fractional Abundance in River Systems M. Olyaei et al. 10.1038/s41597-024-03974-x
- Top-of-atmosphere hyper and multispectral signatures of submerged plastic litter with changing water clarity and depth S. Garaba & T. Harmel 10.1364/OE.451415
- Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera J. Cocking et al. 10.1093/icesjms/fsac006
- Development of automated marine floating plastic detection system using Sentinel-2 imagery and machine learning models S. Sannigrahi et al. 10.1016/j.marpolbul.2022.113527
- Unveiling microplastic spectral signatures under weathering and digestive environments through shortwave infrared hyperspectral sensing Y. Hsu et al. 10.1016/j.envpol.2023.123106
- Floating Debris in the Northern Gulf of Mexico after Hurricane Katrina C. Hu et al. 10.1021/acs.est.3c01689
43 citations as recorded by crossref.
- Concentration, anisotropic and apparent colour effects on optical reflectance properties of virgin and ocean-harvested plastics S. Garaba et al. 10.1016/j.jhazmat.2020.124290
- Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis J. Guffogg et al. 10.3390/rs13224548
- 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
- Development of robust models for rapid classification of microplastic polymer types based on near infrared hyperspectral images T. Kitahashi et al. 10.1039/D1AY00110H
- Towards the Spectral Mapping of Plastic Debris on Beaches J. Guffogg et al. 10.3390/rs13091850
- Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery P. Tasseron et al. 10.3390/rs13122335
- An in situ hyperspectral dataset for typical aquatic vegetation Y. Fang et al. 10.1080/10095020.2024.2440653
- Bio-optical properties of the cyanobacterium Nodularia spumigena S. Garaba et al. 10.5194/essd-15-4163-2023
- Applications of remote sensing and GIS techniques for identifying of the plastic waste from space: Evidence from Khulna city corporation in Bangladesh M. Nahid Ferdous et al. 10.1016/j.cacint.2024.100179
- Detecting the Great Pacific Garbage Patch floating plastic litter using WorldView-3 satellite imagery Y. Park et al. 10.1364/OE.440380
- Automated System for Identifying Marine Floating Plastics to Enhance Sustainability in Coastal Environments Through Sentinel-2 Imagery and Machine Learning Models S. Venkatraman et al. 10.1007/s12601-024-00182-x
- Towards the Development of Portable and In Situ Optical Devices for Detection of Micro-and Nanoplastics in Water: A Review on the Current Status B. Asamoah et al. 10.3390/polym13050730
- 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
- Spectral reflectance of marine macroplastics in the VNIR and SWIR measured in a controlled environment M. Moshtaghi et al. 10.1038/s41598-021-84867-6
- Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms M. Olyaei & A. Ebtehaj 10.3390/rs16010172
- Remote Sensing of Sea Surface Artificial Floating Plastic Targets with Sentinel-2 and Unmanned Aerial Systems (Plastic Litter Project 2019) K. Topouzelis et al. 10.3390/rs12122013
- Aerial Remote Sensing of Aquatic Microplastic Pollution: The State of the Science and How to Move It Forward D. Chabot & S. Marteinson 10.3390/microplastics3040042
- Monitoring macroplastics in aquatic and terrestrial ecosystems: Expert survey reveals visual and drone-based census as most effective techniques L. Gallitelli et al. 10.1016/j.scitotenv.2024.176528
- Comparative Review of Remote Sensing Methods for Ocean Plastic Litter Detection T. Samuriwo et al. 10.1109/ACCESS.2024.3494660
- 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
- Marine debris induced by the Great East Japan Earthquake and Tsunami: A multi-sensor remote sensing assessment L. Qi et al. 10.1016/j.marpolbul.2024.116888
- Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q) M. Wolf et al. 10.1088/1748-9326/abbd01
- Marine plastic pollution detection and identification by using remote sensing-meta analysis M. Waqas et al. 10.1016/j.marpolbul.2023.115746
- Efficient plastic detection in coastal areas with selected spectral bands Á. Pérez-García et al. 10.1016/j.marpolbul.2024.116914
- Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics G. Leone et al. 10.5194/essd-15-745-2023
- Hyperspectral imaging for identification of irregular-shaped microplastics in water A. Gebejes et al. 10.1016/j.scitotenv.2024.173811
- Reproduction of the Marine Debris Distribution in the Seto Inland Sea Immediately after the July 2018 Heavy Rains in Western Japan Using Multidate Landsat-8 Data S. Song et al. 10.3390/rs13245048
- Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery P. Tasseron et al. 10.1029/2022EA002518
- Indoor laboratory experiments for beach litter spectroradiometric analyses L. Corbari et al. 10.1038/s41598-024-74278-8
- Portable analytics as a contemporary environmental microplastic research tool: The Pitches and Hitches S. Chun et al. 10.1016/j.teac.2024.e00234
- MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data K. Kikaki et al. 10.1371/journal.pone.0262247
- Rapid shipboard measurement of net-collected marine microplastic polymer types using near-infrared hyperspectral imaging A. Beck et al. 10.1007/s00216-023-04634-6
- An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea P. Hong et al. 10.1016/j.scitotenv.2023.168537
- Hyperspectral longwave infrared reflectance spectra of naturally dried algae, anthropogenic plastics, sands and shells S. Garaba et al. 10.5194/essd-12-2665-2020
- 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
- Hyperspectral-reflectance dataset of dry, wet and submerged marine litter E. Knaeps et al. 10.5194/essd-13-713-2021
- 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
- A Hyperspectral Reflectance Database of Plastic Debris with Different Fractional Abundance in River Systems M. Olyaei et al. 10.1038/s41597-024-03974-x
- Top-of-atmosphere hyper and multispectral signatures of submerged plastic litter with changing water clarity and depth S. Garaba & T. Harmel 10.1364/OE.451415
- Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera J. Cocking et al. 10.1093/icesjms/fsac006
- Development of automated marine floating plastic detection system using Sentinel-2 imagery and machine learning models S. Sannigrahi et al. 10.1016/j.marpolbul.2022.113527
- Unveiling microplastic spectral signatures under weathering and digestive environments through shortwave infrared hyperspectral sensing Y. Hsu et al. 10.1016/j.envpol.2023.123106
- Floating Debris in the Northern Gulf of Mexico after Hurricane Katrina C. Hu et al. 10.1021/acs.est.3c01689
Latest update: 31 Mar 2025
Short summary
As remote sensing is becoming more integral in future plastic litter monitoring strategies, there is need to improve our understanding of the optical properties of plastics. We present spectral reflectance data (350–2500 nm) of wet and dry marine-harvested (Atlantic and Pacific oceans), washed-ashore, and virgin plastics. Absorption features were identified at ~ 931, 1215, 1417 and 1732 nm in both the marine-harvested and washed-ashore plastics.
As remote sensing is becoming more integral in future plastic litter monitoring strategies,...
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