Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-2665-2020
© 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-12-2665-2020
© 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
| 
05 Nov 2020
Data description paper |
| 05 Nov 2020
| 05 Nov 2020
Hyperspectral longwave infrared reflectance spectra of naturally dried algae, anthropogenic plastics, sands and shells
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
Tomás Acuña-Ruz
Laboratory for Analysis of the Biosphere (LAB), University of Chile,
Av. Santa Rosa 11315, La Pintana, Santiago, Chile
Cristian B. Mattar
Laboratory of Geosciences (Geolab), University of Aysén, Obispo
Vielmo 62, Coyhaique, Chile
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Cited
16 citations as recorded by crossref.
- Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery P. Tasseron et al. 10.1029/2022EA002518
- 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
- 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
- Assessing the detection of floating plastic litter with advanced remote sensing technologies in a hydrodynamic test facility A. de Fockert et al. 10.1038/s41598-024-74332-5
- Using a UAV Thermal Infrared Camera for Monitoring Floating Marine Plastic Litter L. Goddijn-Murphy et al. 10.3390/rs14133179
- Emerging Technologies for Remote Sensing of Floating and Submerged Plastic Litter L. Goddijn-Murphy et al. 10.3390/rs16101770
- 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
- MLDet: Towards efficient and accurate deep learning method for Marine Litter Detection D. Ma et al. 10.1016/j.ocecoaman.2023.106765
- Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials C. Hu 10.1016/j.rse.2021.112414
- High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing M. Balsi et al. 10.3390/rs13081557
- Detecting the Great Pacific Garbage Patch floating plastic litter using WorldView-3 satellite imagery Y. Park et al. 10.1364/OE.440380
- 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
- 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
- MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data K. Kikaki et al. 10.1371/journal.pone.0262247
- Problems and Significance of Marine Environment Monitoring R. Long et al. 10.1051/e3sconf/202339301005
- Indoor laboratory experiments for beach litter spectroradiometric analyses L. Corbari et al. 10.1038/s41598-024-74278-8
16 citations as recorded by crossref.
- Toward Robust River Plastic Detection: Combining Lab and Field‐Based Hyperspectral Imagery P. Tasseron et al. 10.1029/2022EA002518
- 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
- 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
- Assessing the detection of floating plastic litter with advanced remote sensing technologies in a hydrodynamic test facility A. de Fockert et al. 10.1038/s41598-024-74332-5
- Using a UAV Thermal Infrared Camera for Monitoring Floating Marine Plastic Litter L. Goddijn-Murphy et al. 10.3390/rs14133179
- Emerging Technologies for Remote Sensing of Floating and Submerged Plastic Litter L. Goddijn-Murphy et al. 10.3390/rs16101770
- 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
- MLDet: Towards efficient and accurate deep learning method for Marine Litter Detection D. Ma et al. 10.1016/j.ocecoaman.2023.106765
- Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials C. Hu 10.1016/j.rse.2021.112414
- High-Resolution Aerial Detection of Marine Plastic Litter by Hyperspectral Sensing M. Balsi et al. 10.3390/rs13081557
- Detecting the Great Pacific Garbage Patch floating plastic litter using WorldView-3 satellite imagery Y. Park et al. 10.1364/OE.440380
- 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
- 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
- MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data K. Kikaki et al. 10.1371/journal.pone.0262247
- Problems and Significance of Marine Environment Monitoring R. Long et al. 10.1051/e3sconf/202339301005
- Indoor laboratory experiments for beach litter spectroradiometric analyses L. Corbari et al. 10.1038/s41598-024-74278-8
Latest update: 20 Nov 2024
Short summary
Technologies to support detection and tracking of plastic litter in aquatic environments capable of repeated observations at a wide-area scale have been getting increased interest from scientists and stakeholders. We report findings about thermal infrared optical properties of naturally dried samples of algae, sands, sea shells and synthetic plastics obtained in Chile. Diagnostic features of the dataset are foreseen to contribute towards research relevant in thermal infrared sensing of plastics.
Technologies to support detection and tracking of plastic litter in aquatic environments capable...
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