Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 77–86, 2020
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.
Earth Syst. Sci. Data, 12, 77–86, 2020
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
Hyperspectral ultraviolet to shortwave infrared characteristics of marine-harvested, washed-ashore and virgin plastics
Shungudzemwoyo P. Garaba and Heidi M. Dierssen
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Cited
10 citations as recorded by crossref.
- Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q) M. Wolf et al. 10.1088/1748-9326/abbd01
- 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
- Hyperspectral longwave infrared reflectance spectra of naturally dried algae, anthropogenic plastics, sands and shells S. Garaba et al. 10.5194/essd-12-2665-2020
- 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
- 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
- Hyperspectral-reflectance dataset of dry, wet and submerged marine litter E. Knaeps et al. 10.5194/essd-13-713-2021
- 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
- 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
- Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery P. Tasseron et al. 10.3390/rs13122335
10 citations as recorded by crossref.
- Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q) M. Wolf et al. 10.1088/1748-9326/abbd01
- 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
- Hyperspectral longwave infrared reflectance spectra of naturally dried algae, anthropogenic plastics, sands and shells S. Garaba et al. 10.5194/essd-12-2665-2020
- 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
- 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
- Hyperspectral-reflectance dataset of dry, wet and submerged marine litter E. Knaeps et al. 10.5194/essd-13-713-2021
- 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
- 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
- Advancing Floating Macroplastic Detection from Space Using Experimental Hyperspectral Imagery P. Tasseron et al. 10.3390/rs13122335
Latest update: 18 Jun 2021
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,...
