Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice
Remote sensing has been widely used for oil spill monitoring in open waters. However, research on remote sensing monitoring of oil spills in ice-infested sea waters (IISWs) is still scarce. The spectral characteristics of oil-contaminated sea ice (OCSI) and clean sea ice (CSI) and their differences...
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ftdoajarticles:oai:doaj.org/article:f389b97f4116486e87ed44ca329a0028 2023-09-26T15:22:55+02:00 Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice Yulong Du Bingxin Liu Jiankang Xu Ying Li Peng Liu Peng Chen 2023-07-01T00:00:00Z https://doi.org/10.3390/jmse11081503 https://doaj.org/article/f389b97f4116486e87ed44ca329a0028 EN eng MDPI AG https://www.mdpi.com/2077-1312/11/8/1503 https://doaj.org/toc/2077-1312 doi:10.3390/jmse11081503 2077-1312 https://doaj.org/article/f389b97f4116486e87ed44ca329a0028 Journal of Marine Science and Engineering, Vol 11, Iss 1503, p 1503 (2023) oil spill sea ice BRDF kernel-driven model Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 article 2023 ftdoajarticles https://doi.org/10.3390/jmse11081503 2023-08-27T00:35:24Z Remote sensing has been widely used for oil spill monitoring in open waters. However, research on remote sensing monitoring of oil spills in ice-infested sea waters (IISWs) is still scarce. The spectral characteristics of oil-contaminated sea ice (OCSI) and clean sea ice (CSI) and their differences are an important basis for oil spill detection using visible/near-infrared (VNIR) remote sensing. Such features and differences can change with the observation geometry, affecting the identification accuracy. In this study, we carried out multi-angle reflection observation experiments of oil-contaminated sea ice (OCSI) and proposed a kernel-driven bidirectional reflectance distribution function (BRDF) model, Walthall–Ross thick-Litransit-Lisparse-r-RPV (WaRoLstRPV), which takes into account the strong forward-scattering characteristics of sea ice. We also analyzed the preferred observation geometry for oil spill monitoring in IISWs. In the validation using actual measured data, the proposed WaRoLstRPV performed well, with RMSEs of 0.0031 and 0.0026 for CSI and OCSI, respectively, outperforming the commonly used kernel-driven BRDF models, Ross thick-Li sparse (R-LiSpr), QU-Roujean (Qu-R), QU-Lisparse R-r-RPV (Qu-LiSpr-RrRPV), and Walthall (Wa). The observation geometry with a zenith angle around 50° and relative azimuth ranging from 250° to 290° is preferred for oil spill detection in IISWs. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Journal of Marine Science and Engineering 11 8 1503 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
oil spill sea ice BRDF kernel-driven model Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
spellingShingle |
oil spill sea ice BRDF kernel-driven model Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Yulong Du Bingxin Liu Jiankang Xu Ying Li Peng Liu Peng Chen Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice |
topic_facet |
oil spill sea ice BRDF kernel-driven model Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
description |
Remote sensing has been widely used for oil spill monitoring in open waters. However, research on remote sensing monitoring of oil spills in ice-infested sea waters (IISWs) is still scarce. The spectral characteristics of oil-contaminated sea ice (OCSI) and clean sea ice (CSI) and their differences are an important basis for oil spill detection using visible/near-infrared (VNIR) remote sensing. Such features and differences can change with the observation geometry, affecting the identification accuracy. In this study, we carried out multi-angle reflection observation experiments of oil-contaminated sea ice (OCSI) and proposed a kernel-driven bidirectional reflectance distribution function (BRDF) model, Walthall–Ross thick-Litransit-Lisparse-r-RPV (WaRoLstRPV), which takes into account the strong forward-scattering characteristics of sea ice. We also analyzed the preferred observation geometry for oil spill monitoring in IISWs. In the validation using actual measured data, the proposed WaRoLstRPV performed well, with RMSEs of 0.0031 and 0.0026 for CSI and OCSI, respectively, outperforming the commonly used kernel-driven BRDF models, Ross thick-Li sparse (R-LiSpr), QU-Roujean (Qu-R), QU-Lisparse R-r-RPV (Qu-LiSpr-RrRPV), and Walthall (Wa). The observation geometry with a zenith angle around 50° and relative azimuth ranging from 250° to 290° is preferred for oil spill detection in IISWs. |
format |
Article in Journal/Newspaper |
author |
Yulong Du Bingxin Liu Jiankang Xu Ying Li Peng Liu Peng Chen |
author_facet |
Yulong Du Bingxin Liu Jiankang Xu Ying Li Peng Liu Peng Chen |
author_sort |
Yulong Du |
title |
Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice |
title_short |
Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice |
title_full |
Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice |
title_fullStr |
Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice |
title_full_unstemmed |
Research on the Directional Characteristics of the Reflectance of Oil-Contaminated Sea Ice |
title_sort |
research on the directional characteristics of the reflectance of oil-contaminated sea ice |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/jmse11081503 https://doaj.org/article/f389b97f4116486e87ed44ca329a0028 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Journal of Marine Science and Engineering, Vol 11, Iss 1503, p 1503 (2023) |
op_relation |
https://www.mdpi.com/2077-1312/11/8/1503 https://doaj.org/toc/2077-1312 doi:10.3390/jmse11081503 2077-1312 https://doaj.org/article/f389b97f4116486e87ed44ca329a0028 |
op_doi |
https://doi.org/10.3390/jmse11081503 |
container_title |
Journal of Marine Science and Engineering |
container_volume |
11 |
container_issue |
8 |
container_start_page |
1503 |
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1778148842292641792 |