Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images
Abstract Sea ice area accounts for about 22.9% of the global ocean area, so the research of ice plays an important role in the marine field. The ice data that can be obtained by means of site investigation is very limited, and remote sensing means has unique advantages in large-scale and multi-eleme...
Published in: | IOP Conference Series: Earth and Environmental Science |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
IOP Publishing
2022
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1088/1755-1315/1087/1/012042 https://iopscience.iop.org/article/10.1088/1755-1315/1087/1/012042 https://iopscience.iop.org/article/10.1088/1755-1315/1087/1/012042/pdf |
id |
crioppubl:10.1088/1755-1315/1087/1/012042 |
---|---|
record_format |
openpolar |
spelling |
crioppubl:10.1088/1755-1315/1087/1/012042 2024-06-02T08:14:19+00:00 Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images Li, Huaiyuan Qin, Longkun Han, Zhiyuan 2022 http://dx.doi.org/10.1088/1755-1315/1087/1/012042 https://iopscience.iop.org/article/10.1088/1755-1315/1087/1/012042 https://iopscience.iop.org/article/10.1088/1755-1315/1087/1/012042/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 1087, issue 1, page 012042 ISSN 1755-1307 1755-1315 journal-article 2022 crioppubl https://doi.org/10.1088/1755-1315/1087/1/012042 2024-05-07T13:56:03Z Abstract Sea ice area accounts for about 22.9% of the global ocean area, so the research of ice plays an important role in the marine field. The ice data that can be obtained by means of site investigation is very limited, and remote sensing means has unique advantages in large-scale and multi-element feature extraction. Especially in recent years, the available remote sensing image data is becoming more and more abundant, which makes it an important supplementary data for ice research. In this paper, we took the typical sea area of Bohai Bay in China as an example, analyzed the overall characteristics of the ice condition in the target sea area by collecting the winter remote sensing image data in recent 8 years. By using the methods of target recognition, edge detection and time series analysis, four main characteristics of the ice blocks were extracted: time characteristics, spatial characteristics, scale characteristics and motion characteristics. The results enriched the research data of ice condition in the target sea area. Article in Journal/Newspaper Sea ice IOP Publishing IOP Conference Series: Earth and Environmental Science 1087 1 012042 |
institution |
Open Polar |
collection |
IOP Publishing |
op_collection_id |
crioppubl |
language |
unknown |
description |
Abstract Sea ice area accounts for about 22.9% of the global ocean area, so the research of ice plays an important role in the marine field. The ice data that can be obtained by means of site investigation is very limited, and remote sensing means has unique advantages in large-scale and multi-element feature extraction. Especially in recent years, the available remote sensing image data is becoming more and more abundant, which makes it an important supplementary data for ice research. In this paper, we took the typical sea area of Bohai Bay in China as an example, analyzed the overall characteristics of the ice condition in the target sea area by collecting the winter remote sensing image data in recent 8 years. By using the methods of target recognition, edge detection and time series analysis, four main characteristics of the ice blocks were extracted: time characteristics, spatial characteristics, scale characteristics and motion characteristics. The results enriched the research data of ice condition in the target sea area. |
format |
Article in Journal/Newspaper |
author |
Li, Huaiyuan Qin, Longkun Han, Zhiyuan |
spellingShingle |
Li, Huaiyuan Qin, Longkun Han, Zhiyuan Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images |
author_facet |
Li, Huaiyuan Qin, Longkun Han, Zhiyuan |
author_sort |
Li, Huaiyuan |
title |
Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images |
title_short |
Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images |
title_full |
Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images |
title_fullStr |
Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images |
title_full_unstemmed |
Research on ice characteristics in Bohai Bay, China based on Multi-source remote sensing images |
title_sort |
research on ice characteristics in bohai bay, china based on multi-source remote sensing images |
publisher |
IOP Publishing |
publishDate |
2022 |
url |
http://dx.doi.org/10.1088/1755-1315/1087/1/012042 https://iopscience.iop.org/article/10.1088/1755-1315/1087/1/012042 https://iopscience.iop.org/article/10.1088/1755-1315/1087/1/012042/pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
IOP Conference Series: Earth and Environmental Science volume 1087, issue 1, page 012042 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/1087/1/012042 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
1087 |
container_issue |
1 |
container_start_page |
012042 |
_version_ |
1800738117098930176 |