Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes
The north and south poles of the earth (hereinafter referred to as the polar regions) are important components of the earth system. Changes in the material balance and movement of the polar ice shelf reflect the influence of the polar regions on global climate change and are also a response to globa...
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ftpubmed:oai:pubmedcentral.nih.gov:8659658 2023-05-15T16:41:13+02:00 Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes Li, Xiuhong Hao, Xuejie Yin, Lizeyan Liu, Lu Ma, Yushuang Yang, Rongjin Song, Qiao 2021-11-24 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659658/ https://doi.org/10.3390/s21237822 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659658/ http://dx.doi.org/10.3390/s21237822 © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). CC-BY Sensors (Basel) Article Text 2021 ftpubmed https://doi.org/10.3390/s21237822 2021-12-12T02:02:10Z The north and south poles of the earth (hereinafter referred to as the polar regions) are important components of the earth system. Changes in the material balance and movement of the polar ice shelf reflect the influence of the polar regions on global climate change and are also a response to global climate change. Through a comprehensive investigation of ice-shelf kinematics, with sufficient accuracy, it is possible to obtain ice-shelf elevation, movement-state data, ice-shelf material balance state, and the ice-shelf movement dynamics mechanism. Due to the extremely harsh environment in polar regions, remote sensing is currently widely used. Manual and equipment monitoring methods show insufficient accuracy or discontinuous time series. There is an urgent need to obtain continuous real-time ice-shelf kinematics-related parameters on the ground to verify the reliability of the parameters obtained by satellite remote sensing. These parameters should be combined with remote sensing monitoring to provide data support. In this paper, a monitoring system for the movement of polar ice and shelf ice cover is developed, and it is proposed that various data can be acquired by integrating high-precision GPS (global positioning system) and other sensors. Solutions to the problem of low-temperature power supply in the polar regions, data acquisition and storage strategies, and remote communication methods are proposed. Testing and remote sensing validation verified that the developed acquisition system can fulfill the requirements for monitoring the movement of the polar unmanned ice shelves and ice sheets. Text Ice Sheet Ice Shelf Ice Shelves PubMed Central (PMC) Sensors 21 23 7822 |
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Article Li, Xiuhong Hao, Xuejie Yin, Lizeyan Liu, Lu Ma, Yushuang Yang, Rongjin Song, Qiao Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes |
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description |
The north and south poles of the earth (hereinafter referred to as the polar regions) are important components of the earth system. Changes in the material balance and movement of the polar ice shelf reflect the influence of the polar regions on global climate change and are also a response to global climate change. Through a comprehensive investigation of ice-shelf kinematics, with sufficient accuracy, it is possible to obtain ice-shelf elevation, movement-state data, ice-shelf material balance state, and the ice-shelf movement dynamics mechanism. Due to the extremely harsh environment in polar regions, remote sensing is currently widely used. Manual and equipment monitoring methods show insufficient accuracy or discontinuous time series. There is an urgent need to obtain continuous real-time ice-shelf kinematics-related parameters on the ground to verify the reliability of the parameters obtained by satellite remote sensing. These parameters should be combined with remote sensing monitoring to provide data support. In this paper, a monitoring system for the movement of polar ice and shelf ice cover is developed, and it is proposed that various data can be acquired by integrating high-precision GPS (global positioning system) and other sensors. Solutions to the problem of low-temperature power supply in the polar regions, data acquisition and storage strategies, and remote communication methods are proposed. Testing and remote sensing validation verified that the developed acquisition system can fulfill the requirements for monitoring the movement of the polar unmanned ice shelves and ice sheets. |
format |
Text |
author |
Li, Xiuhong Hao, Xuejie Yin, Lizeyan Liu, Lu Ma, Yushuang Yang, Rongjin Song, Qiao |
author_facet |
Li, Xiuhong Hao, Xuejie Yin, Lizeyan Liu, Lu Ma, Yushuang Yang, Rongjin Song, Qiao |
author_sort |
Li, Xiuhong |
title |
Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes |
title_short |
Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes |
title_full |
Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes |
title_fullStr |
Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes |
title_full_unstemmed |
Validation of GPS-Based Monitoring and Remote Sensing of Ice-Shelf and Ice-Sheet Movement Changes |
title_sort |
validation of gps-based monitoring and remote sensing of ice-shelf and ice-sheet movement changes |
publisher |
MDPI |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659658/ https://doi.org/10.3390/s21237822 |
genre |
Ice Sheet Ice Shelf Ice Shelves |
genre_facet |
Ice Sheet Ice Shelf Ice Shelves |
op_source |
Sensors (Basel) |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659658/ http://dx.doi.org/10.3390/s21237822 |
op_rights |
© 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
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CC-BY |
op_doi |
https://doi.org/10.3390/s21237822 |
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Sensors |
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21 |
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1766031659155587072 |