A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE

Global warming is one of the most serious problems the earth is facing in the 21 st Century. In order to detect the sign of global warming, the importance of sea ice monitoring is increasing. Especially, sea ice thickness is an key parameter for understanding the heat flux of sea ice area. However,...

Full description

Bibliographic Details
Published in:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Main Authors: Cho, K., Mochizuki, Y., Yoshida, Y., Shimoda, H., Chen, C.-F.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/isprsarchives-XXXIX-B8-561-2012
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/561/2012/
id ftcopernicus:oai:publications.copernicus.org:isprsarchives40711
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:isprsarchives40711 2023-05-15T18:16:13+02:00 A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE Cho, K. Mochizuki, Y. Yoshida, Y. Shimoda, H. Chen, C.-F. 2018-01-15 application/pdf https://doi.org/10.5194/isprsarchives-XXXIX-B8-561-2012 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/561/2012/ eng eng doi:10.5194/isprsarchives-XXXIX-B8-561-2012 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/561/2012/ eISSN: 2194-9034 Text 2018 ftcopernicus https://doi.org/10.5194/isprsarchives-XXXIX-B8-561-2012 2019-12-24T09:56:04Z Global warming is one of the most serious problems the earth is facing in the 21 st Century. In order to detect the sign of global warming, the importance of sea ice monitoring is increasing. Especially, sea ice thickness is an key parameter for understanding the heat flux of sea ice area. However, estimation of sea ice thickness with satellite remote sensing is not easy. In this study authors have examined the possibility of extracting thin sea ice area from remotely sensed data from space. The study was performed in the Sea of Okhotsk. Firstly, the possibility of estimating thin ice thickness with high resolution optical sensor RSI(IFOV = 8 m) on FORMOSAT- 2 satellite was examined. The comparison of RSI data with in situ measurement of ice thickness suggested the possibility of estimating sea ice thickness with RSI data for less than 20 cm under the cloudless and snow free condition. The correlation between RSI data and MODIS data(IFOV = 250 m) was also examined for the thin ice area. The result also suggested the possibility of extracting thin sea ice area from MODIS data. Based on these results, the authors have examined possibility of extracting thin sea ice area with passive microwave sensor AMSR-E by using thin ice area estimated with MODIS data as truth data. Since the horizontal polarization of 19 GHz are more sensitive to water than the vertical polarization of 19 GHz, the authors have utilized the polarization difference of 19 GHz for extracting thin sea ice area from AMSR-E data. The detailed study result will be presented in this paper. Text Sea ice Copernicus Publications: E-Journals Okhotsk The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B8 561 566
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Global warming is one of the most serious problems the earth is facing in the 21 st Century. In order to detect the sign of global warming, the importance of sea ice monitoring is increasing. Especially, sea ice thickness is an key parameter for understanding the heat flux of sea ice area. However, estimation of sea ice thickness with satellite remote sensing is not easy. In this study authors have examined the possibility of extracting thin sea ice area from remotely sensed data from space. The study was performed in the Sea of Okhotsk. Firstly, the possibility of estimating thin ice thickness with high resolution optical sensor RSI(IFOV = 8 m) on FORMOSAT- 2 satellite was examined. The comparison of RSI data with in situ measurement of ice thickness suggested the possibility of estimating sea ice thickness with RSI data for less than 20 cm under the cloudless and snow free condition. The correlation between RSI data and MODIS data(IFOV = 250 m) was also examined for the thin ice area. The result also suggested the possibility of extracting thin sea ice area from MODIS data. Based on these results, the authors have examined possibility of extracting thin sea ice area with passive microwave sensor AMSR-E by using thin ice area estimated with MODIS data as truth data. Since the horizontal polarization of 19 GHz are more sensitive to water than the vertical polarization of 19 GHz, the authors have utilized the polarization difference of 19 GHz for extracting thin sea ice area from AMSR-E data. The detailed study result will be presented in this paper.
format Text
author Cho, K.
Mochizuki, Y.
Yoshida, Y.
Shimoda, H.
Chen, C.-F.
spellingShingle Cho, K.
Mochizuki, Y.
Yoshida, Y.
Shimoda, H.
Chen, C.-F.
A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE
author_facet Cho, K.
Mochizuki, Y.
Yoshida, Y.
Shimoda, H.
Chen, C.-F.
author_sort Cho, K.
title A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE
title_short A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE
title_full A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE
title_fullStr A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE
title_full_unstemmed A STUDY ON EXTRACTING THIN SEA ICE AREA FROM SPACE
title_sort study on extracting thin sea ice area from space
publishDate 2018
url https://doi.org/10.5194/isprsarchives-XXXIX-B8-561-2012
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/561/2012/
geographic Okhotsk
geographic_facet Okhotsk
genre Sea ice
genre_facet Sea ice
op_source eISSN: 2194-9034
op_relation doi:10.5194/isprsarchives-XXXIX-B8-561-2012
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/561/2012/
op_doi https://doi.org/10.5194/isprsarchives-XXXIX-B8-561-2012
container_title The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
container_volume XXXIX-B8
container_start_page 561
op_container_end_page 566
_version_ 1766189685684568064