Airborne Spectral Reflectance Dataset of Submerged Plastic Targets in a Coastal Environment

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...
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Autor*in:	Apostolos Papakonstantinou [verfasserIn] Argyrios Moustakas [verfasserIn] Polychronis Kolokoussis [verfasserIn] Dimitris Papageorgiou [verfasserIn] Robin de Vries [verfasserIn] Konstantinos Topouzelis [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	hyperspectral data spectral reflectances plastic targets UAV Hyperspectral

Übergeordnetes Werk:	In: Data - MDPI AG, 2017, 8(2023), 1, p 19
Übergeordnetes Werk:	volume:8 ; year:2023 ; number:1, p 19

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/data8010019

Katalog-ID:	DOAJ081821026

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author	Apostolos Papakonstantinou
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title_sort	airborne spectral reflectance dataset of submerged plastic targets in a coastal environment
title_auth	Airborne Spectral Reflectance Dataset of Submerged Plastic Targets in a Coastal Environment
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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Airborne Spectral Reflectance Dataset of Submerged Plastic Targets in a Coastal Environment
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score	7.402231

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Airborne Spectral Reflectance Dataset of Submerged Plastic Targets in a Coastal Environment

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