Satellite-based sea ice navigation for Prydz Bay, East Antarctica
Sea ice adversely impacts nautical, logistical and scientific missions in polar regions. Ship navigation benefits from up-to-date sea ice analyses at both regional and local scales. This study presents a satellite-based sea ice navigation system (SatSINS) that integrates observations and scientific...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
M D P I AG
2017
|
Subjects: | |
Online Access: | https://eprints.utas.edu.au/25878/ https://eprints.utas.edu.au/25878/1/Hui_Zhao_Li_Shokr_Heil_Zhao_Zhang_Cheng_RemSens_2017.pdf https://doi.org/10.3390/rs9060518 |
id |
ftunivtasmania:oai:eprints.utas.edu.au:25878 |
---|---|
record_format |
openpolar |
spelling |
ftunivtasmania:oai:eprints.utas.edu.au:25878 2023-05-15T13:31:52+02:00 Satellite-based sea ice navigation for Prydz Bay, East Antarctica Hui, F Zhao, T Li, X Shokr, M Heil, P Zhao, J Zhang, L Cheng, X 2017 application/pdf https://eprints.utas.edu.au/25878/ https://eprints.utas.edu.au/25878/1/Hui_Zhao_Li_Shokr_Heil_Zhao_Zhang_Cheng_RemSens_2017.pdf https://doi.org/10.3390/rs9060518 en eng M D P I AG https://eprints.utas.edu.au/25878/1/Hui_Zhao_Li_Shokr_Heil_Zhao_Zhang_Cheng_RemSens_2017.pdf Hui, F, Zhao, T, Li, X, Shokr, M, Heil, P, Zhao, J, Zhang, L and Cheng, X 2017 , 'Satellite-based sea ice navigation for Prydz Bay, East Antarctica' , Remote Sensing, vol. 9, no. 6 , pp. 1-21 , doi:10.3390/rs9060518 <http://dx.doi.org/10.3390/rs9060518>. ice navigation satellite analysis Antarctica marine navigation remote sensing Article PeerReviewed 2017 ftunivtasmania https://doi.org/10.3390/rs9060518 2021-09-13T22:17:02Z Sea ice adversely impacts nautical, logistical and scientific missions in polar regions. Ship navigation benefits from up-to-date sea ice analyses at both regional and local scales. This study presents a satellite-based sea ice navigation system (SatSINS) that integrates observations and scientific output from remote sensing and meteorological data to develop optimum marine navigational routes in sea ice-covered waters, especially in areas where operational ice information is usually scarce. The system and its applications are presented in the context of a decision-making process to optimize the routing of the RV Xuelong during her passage through Prydz Bay, East Antarctica during three trips in the austral spring of 2011–2013. The study assesses scientifically-generated remote sensing ice parameters for their operational use in marine navigation. Evaluation criteria involve identification of priority parameters, their spatio-temporal requirements in relation to navigational needs, and their level of accuracy in conjunction with the severity of ice conditions. Coarse-resolution ice concentration maps are sufficient to delineate ice edge and develop a safe route when ice concentration is less than 70%, provided that ice dynamics, estimated from examining the cyclonic pattern, is not severe. Otherwise, fine-resolution radar data should be used to identify and avoid deformed ice. Satellite data lagging one day behind the actual location of the ship was sufficient in most cases although the proposed route may have to be adjusted. To evaluate the utility of SatSINS, deviation of the actual route from the proposed route was calculated and found to range between 165 m to about 16.0 km with standard deviations of 2.8–6.1 km. Growth of land-fast ice has proven to be an essential component of the system as it was estimated using a thermodynamic model with input from a meteorological station. Article in Journal/Newspaper Antarc* Antarctica East Antarctica Prydz Bay Sea ice ice covered waters University of Tasmania: UTas ePrints Austral East Antarctica Prydz Bay Remote Sensing 9 6 518 |
institution |
Open Polar |
collection |
University of Tasmania: UTas ePrints |
op_collection_id |
ftunivtasmania |
language |
English |
topic |
ice navigation satellite analysis Antarctica marine navigation remote sensing |
spellingShingle |
ice navigation satellite analysis Antarctica marine navigation remote sensing Hui, F Zhao, T Li, X Shokr, M Heil, P Zhao, J Zhang, L Cheng, X Satellite-based sea ice navigation for Prydz Bay, East Antarctica |
topic_facet |
ice navigation satellite analysis Antarctica marine navigation remote sensing |
description |
Sea ice adversely impacts nautical, logistical and scientific missions in polar regions. Ship navigation benefits from up-to-date sea ice analyses at both regional and local scales. This study presents a satellite-based sea ice navigation system (SatSINS) that integrates observations and scientific output from remote sensing and meteorological data to develop optimum marine navigational routes in sea ice-covered waters, especially in areas where operational ice information is usually scarce. The system and its applications are presented in the context of a decision-making process to optimize the routing of the RV Xuelong during her passage through Prydz Bay, East Antarctica during three trips in the austral spring of 2011–2013. The study assesses scientifically-generated remote sensing ice parameters for their operational use in marine navigation. Evaluation criteria involve identification of priority parameters, their spatio-temporal requirements in relation to navigational needs, and their level of accuracy in conjunction with the severity of ice conditions. Coarse-resolution ice concentration maps are sufficient to delineate ice edge and develop a safe route when ice concentration is less than 70%, provided that ice dynamics, estimated from examining the cyclonic pattern, is not severe. Otherwise, fine-resolution radar data should be used to identify and avoid deformed ice. Satellite data lagging one day behind the actual location of the ship was sufficient in most cases although the proposed route may have to be adjusted. To evaluate the utility of SatSINS, deviation of the actual route from the proposed route was calculated and found to range between 165 m to about 16.0 km with standard deviations of 2.8–6.1 km. Growth of land-fast ice has proven to be an essential component of the system as it was estimated using a thermodynamic model with input from a meteorological station. |
format |
Article in Journal/Newspaper |
author |
Hui, F Zhao, T Li, X Shokr, M Heil, P Zhao, J Zhang, L Cheng, X |
author_facet |
Hui, F Zhao, T Li, X Shokr, M Heil, P Zhao, J Zhang, L Cheng, X |
author_sort |
Hui, F |
title |
Satellite-based sea ice navigation for Prydz Bay, East Antarctica |
title_short |
Satellite-based sea ice navigation for Prydz Bay, East Antarctica |
title_full |
Satellite-based sea ice navigation for Prydz Bay, East Antarctica |
title_fullStr |
Satellite-based sea ice navigation for Prydz Bay, East Antarctica |
title_full_unstemmed |
Satellite-based sea ice navigation for Prydz Bay, East Antarctica |
title_sort |
satellite-based sea ice navigation for prydz bay, east antarctica |
publisher |
M D P I AG |
publishDate |
2017 |
url |
https://eprints.utas.edu.au/25878/ https://eprints.utas.edu.au/25878/1/Hui_Zhao_Li_Shokr_Heil_Zhao_Zhang_Cheng_RemSens_2017.pdf https://doi.org/10.3390/rs9060518 |
geographic |
Austral East Antarctica Prydz Bay |
geographic_facet |
Austral East Antarctica Prydz Bay |
genre |
Antarc* Antarctica East Antarctica Prydz Bay Sea ice ice covered waters |
genre_facet |
Antarc* Antarctica East Antarctica Prydz Bay Sea ice ice covered waters |
op_relation |
https://eprints.utas.edu.au/25878/1/Hui_Zhao_Li_Shokr_Heil_Zhao_Zhang_Cheng_RemSens_2017.pdf Hui, F, Zhao, T, Li, X, Shokr, M, Heil, P, Zhao, J, Zhang, L and Cheng, X 2017 , 'Satellite-based sea ice navigation for Prydz Bay, East Antarctica' , Remote Sensing, vol. 9, no. 6 , pp. 1-21 , doi:10.3390/rs9060518 <http://dx.doi.org/10.3390/rs9060518>. |
op_doi |
https://doi.org/10.3390/rs9060518 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
6 |
container_start_page |
518 |
_version_ |
1766021752374165504 |