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GIS-supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-mission Remote Sensing Data
Marine Geodesy ( IF 2.0 ) Pub Date : 2019-08-06 , DOI: 10.1080/01490419.2019.1645770
Xiangbin Cui 1 , Jiaxin Liu 2, 3 , Yixiang Tian 2, 3 , Bo Sun 1 , Rongxing Li 2, 3 , Alexey Markov 4 , Da Lv 2, 3 , Gang Hai 2, 3 , Gang Qiao 2, 3 , Tiantian Feng 2, 3
Affiliation  

Abstract 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.

中文翻译:

基于多任务遥感数据的南极东部中山站附近GIS支持的机场选择

摘要 随着南极洲在全球气候变化研究中越来越受到关注,近几十年来对野外考察的需求也有所增加。飞机已成为最有效的运输方式,因为它具有长距离旅行时间短、可到达无法到达的位置以及能够携带不同类型的传感器以获得大面积覆盖的优势。然而,关于重轮飞机南极机场选址的研究很少发表。在本文中,我们介绍了南极洲东部中山站附近蓝冰机场初选的方法和结果。基于地理信息系统 (GIS) 的方法得到 ZY-3、WorldView-2 和 Landsat-8 卫星的多任务高分辨率图像以及现有遥感产品的支持。地面实况观测与卫星全色和光谱信息相结合,以确定跑道候选区域。遥感数据推断的信息,包括冷杉类型、冰运动、表面坡度和冰裂缝,用于评估机场选择规则。最后,跑道候选者的排名和推荐是在GIS分析环境中进行的。本文开发的选址方法可应用于其他类似冰冻圈环境的施工前研究,为最后阶段的现场调查提供合适的候选者。用于评估机场选择规则。最后,跑道候选者的排名和推荐是在GIS分析环境中进行的。本文开发的选址方法可应用于其他类似冰冻圈环境的施工前研究,为最后阶段的现场调查提供合适的候选者。用于评估机场选择规则。最后,跑道候选者的排名和推荐是在GIS分析环境中进行的。本文开发的选址方法可应用于其他类似冰冻圈环境的施工前研究,为最后阶段的现场调查提供合适的候选者。
更新日期:2019-08-06
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