GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data
As Antarctica attracts increasing attention in global climate change studies, the demand for field expeditions has increased in recent decades. Aircraft has become the most efficient mode of transportation because of the advantages of short travel times over long distances, access to unreachable loc...
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ftdatacite:10.6084/m9.figshare.9913061 2023-05-15T14:05:06+02:00 GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data Xiangbin Cui Jiaxin Liu Yixiang Tian Sun, Bo Rongxing Li Markov, Alexey Lv, Da Hai, Gang Qiao, Gang Tiantian Feng 2019 https://dx.doi.org/10.6084/m9.figshare.9913061 https://tandf.figshare.com/articles/GIS-Supported_Airfield_Selection_near_Zhongshan_Station_East_Antarctica_based_on_Multi-Mission_Remote_Sensing_Data/9913061 unknown Taylor & Francis https://dx.doi.org/10.1080/01490419.2019.1645770 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Medicine Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Ecology 69999 Biological Sciences not elsewhere classified Text article-journal Journal contribution ScholarlyArticle 2019 ftdatacite https://doi.org/10.6084/m9.figshare.9913061 https://doi.org/10.1080/01490419.2019.1645770 2021-11-05T12:55:41Z As Antarctica attracts increasing attention in global climate change studies, the demand for field expeditions has increased in recent decades. Aircraft has become the most efficient mode of transportation because of the advantages of short travel times over long distances, access to unreachable locations and capability to carry different types of sensors to obtain large areal coverages. However, few studies have been published regarding Antarctic airfield site selection for heavy-wheeled aircraft. In this paper, we present methods and results of blue-ice airfield preliminary selection near Zhongshan station, East Antarctica. The geographic information system (GIS)-based method is supported by multi-mission high-resolution images from the ZY-3, WorldView-2 and Landsat-8 satellites along with existing remote sensing products. Ground truth observations were integrated with satellite panchromatic and spectral information to identify runway candidate areas. The information inferred by remote sensing data, including firn type, ice movement, surface slope and ice fracture, is used for evaluation of the airfield selection rules. Finally, the rankings and recommendations of runway candidates were performed in a GIS analysis environment. The site selection approach developed in this paper can be applied in preconstruction studies of other similar cryosphere environments to provide appropriate candidates for a final stage field investigation. Text Antarc* Antarctic Antarctica East Antarctica DataCite Metadata Store (German National Library of Science and Technology) Antarctic East Antarctica Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373) Zhongshan Station ENVELOPE(76.371,76.371,-69.373,-69.373) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
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language |
unknown |
topic |
Medicine Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Ecology 69999 Biological Sciences not elsewhere classified |
spellingShingle |
Medicine Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Ecology 69999 Biological Sciences not elsewhere classified Xiangbin Cui Jiaxin Liu Yixiang Tian Sun, Bo Rongxing Li Markov, Alexey Lv, Da Hai, Gang Qiao, Gang Tiantian Feng GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data |
topic_facet |
Medicine Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Ecology 69999 Biological Sciences not elsewhere classified |
description |
As Antarctica attracts increasing attention in global climate change studies, the demand for field expeditions has increased in recent decades. Aircraft has become the most efficient mode of transportation because of the advantages of short travel times over long distances, access to unreachable locations and capability to carry different types of sensors to obtain large areal coverages. However, few studies have been published regarding Antarctic airfield site selection for heavy-wheeled aircraft. In this paper, we present methods and results of blue-ice airfield preliminary selection near Zhongshan station, East Antarctica. The geographic information system (GIS)-based method is supported by multi-mission high-resolution images from the ZY-3, WorldView-2 and Landsat-8 satellites along with existing remote sensing products. Ground truth observations were integrated with satellite panchromatic and spectral information to identify runway candidate areas. The information inferred by remote sensing data, including firn type, ice movement, surface slope and ice fracture, is used for evaluation of the airfield selection rules. Finally, the rankings and recommendations of runway candidates were performed in a GIS analysis environment. The site selection approach developed in this paper can be applied in preconstruction studies of other similar cryosphere environments to provide appropriate candidates for a final stage field investigation. |
format |
Text |
author |
Xiangbin Cui Jiaxin Liu Yixiang Tian Sun, Bo Rongxing Li Markov, Alexey Lv, Da Hai, Gang Qiao, Gang Tiantian Feng |
author_facet |
Xiangbin Cui Jiaxin Liu Yixiang Tian Sun, Bo Rongxing Li Markov, Alexey Lv, Da Hai, Gang Qiao, Gang Tiantian Feng |
author_sort |
Xiangbin Cui |
title |
GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data |
title_short |
GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data |
title_full |
GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data |
title_fullStr |
GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data |
title_full_unstemmed |
GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data |
title_sort |
gis-supported airfield selection near zhongshan station, east antarctica, based on multi-mission remote sensing data |
publisher |
Taylor & Francis |
publishDate |
2019 |
url |
https://dx.doi.org/10.6084/m9.figshare.9913061 https://tandf.figshare.com/articles/GIS-Supported_Airfield_Selection_near_Zhongshan_Station_East_Antarctica_based_on_Multi-Mission_Remote_Sensing_Data/9913061 |
long_lat |
ENVELOPE(76.371,76.371,-69.373,-69.373) ENVELOPE(76.371,76.371,-69.373,-69.373) |
geographic |
Antarctic East Antarctica Zhongshan Zhongshan Station |
geographic_facet |
Antarctic East Antarctica Zhongshan Zhongshan Station |
genre |
Antarc* Antarctic Antarctica East Antarctica |
genre_facet |
Antarc* Antarctic Antarctica East Antarctica |
op_relation |
https://dx.doi.org/10.1080/01490419.2019.1645770 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.9913061 https://doi.org/10.1080/01490419.2019.1645770 |
_version_ |
1766276758988914688 |