GIS-Supported Airfield Selection near Zhongshan Station, East Antarctica, based on Multi-Mission Remote Sensing Data

• Main Authors: Xiangbin Cui, Jiaxin Liu, Yixiang Tian, Sun, Bo, Rongxing Li, Markov, Alexey, Lv, Da, Hai, Gang, Qiao, Gang, Tiantian Feng
• Format: Text
• Language: unknown
• Published: Taylor & Francis 2019
• Subjects: 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; Antarctic; East Antarctica; Zhongshan; Zhongshan Station; Antarc*; Antarctica
• Online Access: https://dx.doi.org/10.6084/m9.figshare.9913061.v1; https://tandf.figshare.com/articles/GIS-Supported_Airfield_Selection_near_Zhongshan_Station_East_Antarctica_based_on_Multi-Mission_Remote_Sensing_Data/9913061/1

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.