PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA
The latest IPCC report clearly stated that the human influence is the main reason of sea ice reduction in the Arctic. Importance of sea ice monitoring from space is increasing. In addition, the heat flux of ice in thin ice areas is strongly affected by the ice thickness difference. Therefore, ice th...
Published in: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Online Access: | https://doi.org/10.5194/isprs-annals-V-3-2022-319-2022 https://doaj.org/article/01ecff05fe954c53b41068ef780b5c0c |
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ftdoajarticles:oai:doaj.org/article:01ecff05fe954c53b41068ef780b5c0c 2023-05-15T15:09:58+02:00 PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA K. Cho K. Naoki 2022-05-01T00:00:00Z https://doi.org/10.5194/isprs-annals-V-3-2022-319-2022 https://doaj.org/article/01ecff05fe954c53b41068ef780b5c0c EN eng Copernicus Publications https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2022/319/2022/isprs-annals-V-3-2022-319-2022.pdf https://doaj.org/toc/2194-9042 https://doaj.org/toc/2194-9050 doi:10.5194/isprs-annals-V-3-2022-319-2022 2194-9042 2194-9050 https://doaj.org/article/01ecff05fe954c53b41068ef780b5c0c ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2022, Pp 319-324 (2022) Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 article 2022 ftdoajarticles https://doi.org/10.5194/isprs-annals-V-3-2022-319-2022 2022-12-31T02:31:49Z The latest IPCC report clearly stated that the human influence is the main reason of sea ice reduction in the Arctic. Importance of sea ice monitoring from space is increasing. In addition, the heat flux of ice in thin ice areas is strongly affected by the ice thickness difference. Therefore, ice thickness is one of the important parameters of sea ice. The authors have been studying on extracting thin ice areas using optical sensor such as MODIS for years. In this paper, the authors summarized the procedure of our study starting from comparing in-situ measurement of ice thickness with high resolution optical sensor RSI data, and finally developing the thin ice area extraction algorithm using MODIS. Estimating ice thickness from optical sensor data is not easy. However, through our study, the authors have verified the possibility of extracting thin ice areas using optical sensor data observed from satellites. In this study, the authors define “thin ice areas” as ice which thickness is less than about 30 cm with reflectance much lower than thick ice. The basic idea of the algorithm is to use the scatterplots of MODIS band 1 & 2 reflectance and extract thin ice areas using the distribution difference of thin ice against water, thick ice, clouds. Not all but most of the thin ice areas could be extracted using the algorithm. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Okhotsk ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 319 324 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
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Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 K. Cho K. Naoki PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA |
topic_facet |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
description |
The latest IPCC report clearly stated that the human influence is the main reason of sea ice reduction in the Arctic. Importance of sea ice monitoring from space is increasing. In addition, the heat flux of ice in thin ice areas is strongly affected by the ice thickness difference. Therefore, ice thickness is one of the important parameters of sea ice. The authors have been studying on extracting thin ice areas using optical sensor such as MODIS for years. In this paper, the authors summarized the procedure of our study starting from comparing in-situ measurement of ice thickness with high resolution optical sensor RSI data, and finally developing the thin ice area extraction algorithm using MODIS. Estimating ice thickness from optical sensor data is not easy. However, through our study, the authors have verified the possibility of extracting thin ice areas using optical sensor data observed from satellites. In this study, the authors define “thin ice areas” as ice which thickness is less than about 30 cm with reflectance much lower than thick ice. The basic idea of the algorithm is to use the scatterplots of MODIS band 1 & 2 reflectance and extract thin ice areas using the distribution difference of thin ice against water, thick ice, clouds. Not all but most of the thin ice areas could be extracted using the algorithm. |
format |
Article in Journal/Newspaper |
author |
K. Cho K. Naoki |
author_facet |
K. Cho K. Naoki |
author_sort |
K. Cho |
title |
PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA |
title_short |
PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA |
title_full |
PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA |
title_fullStr |
PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA |
title_full_unstemmed |
PROCEDURE OF EXTRACTING THIN ICE AREAS IN THE SEA OF OKHOTSK USING MODIS DATA |
title_sort |
procedure of extracting thin ice areas in the sea of okhotsk using modis data |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/isprs-annals-V-3-2022-319-2022 https://doaj.org/article/01ecff05fe954c53b41068ef780b5c0c |
geographic |
Arctic Okhotsk |
geographic_facet |
Arctic Okhotsk |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2022, Pp 319-324 (2022) |
op_relation |
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2022/319/2022/isprs-annals-V-3-2022-319-2022.pdf https://doaj.org/toc/2194-9042 https://doaj.org/toc/2194-9050 doi:10.5194/isprs-annals-V-3-2022-319-2022 2194-9042 2194-9050 https://doaj.org/article/01ecff05fe954c53b41068ef780b5c0c |
op_doi |
https://doi.org/10.5194/isprs-annals-V-3-2022-319-2022 |
container_title |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
V-3-2022 |
container_start_page |
319 |
op_container_end_page |
324 |
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1766341062760071168 |