Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29169
Title: Airborne Spectral Reflectance Dataset of Submerged Plastic Targets in a Coastal Environment
Authors: Papakonstantinou, Apostolos 
Moustakas, Argyrios 
Kolokoussis, Polychronis 
Papageorgiou, Dimitrios 
de Vries, Robin 
Topouzelis, Konstantinos 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Hyperspectral data;Spectral reflectances;Plastic targets;UAV Hyperspectral
Issue Date: 1-Jan-2023
Source: Data, 2023, vol.8 n.1
Volume: 8
Issue: 1
Journal: Data 
Abstract: Among the emerging applications of remote sensing technologies, the remote detection of plastic litter has observed successful applications in recent years. However, while the number of studies and datasets for spectral characterization of plastic is growing, few studies address plastic litter while being submerged in natural seawater in an outdoor context. This study aims to investigate the feasibility of hyperspectral characterization of submerged plastic litter in less-than-ideal conditions. We present a hyperspectral dataset of eight different polymers in field conditions, taken by an unmanned aerial vehicle (UAV) on different days in a three-week period. The measurements were carried out off the coast of Mytilene, Greece. The team collected the dataset using a Bayspec OCI-F push broom sensor from 25 m and 40 m height above the water. For a contextual background, the dataset also contains optical (RGB) high-resolution orthomosaics.
URI: https://hdl.handle.net/20.500.14279/29169
ISSN: 2306-5729
DOI: 10.3390/data8010019
Rights: Attribution 4.0 International
Type: Article
Affiliation : University of the Aegean 
National Technical University Of Athens 
The Ocean Cleanup 
Appears in Collections:Άρθρα/Articles

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