IEEE Geoscience and Remote Sensing Magazine - March 2023 - 88

weak light, and geomagnetic anomalies in polar regions and
reconstruct high-resolution orthomosaics and DEMs. The
quality of UAV SfM products has also been improved using
the GNSS-supported aerial triangulation georeferencing approach.
Diverse sensors with varied uses can be installed on
UAVs, allowing the drones to collect high-resolution multispectral,
hyperspectral, thermal, and stereo data based on
specific demands. UAV data from the same glacier area can
be shared and aggregated in the future to create a larger database
for joint research [8]. Additionally, the application of
UAVs to the monitoring of the glacial microtopography (including
rifts and crevasses, surface subsidence, and melting
ponds), ice surface landforms, atmosphere, flora and fauna,
sea ice, and subglacial environment have been described. In
this study, the rapid development of UAVs in polar regions
was summarized, the development status of related research
fields was recorded and analyzed, and suggestions for future
developments in related fields were provided.
With an ever-changing global climate, the AIS is continuously
changing. Before inferring the small-scale changes in
the ice sheet surface, it is necessary to repeatedly observe and
analyze them. This study compiled and reviewed over 90 articles
to demonstrate that UAVs play a significant role in Antarctic
polar research, significantly filling the present research
gap. We believe that UAVs will also provide a unique opportunity
for comprehensive glaciology research in the face of
the growing climate uncertainty.
ACKNOWLEDGMENT
Constructive comments from the editors and two reviewers
are greatly appreciated. We thank the 35th and 36th CHINARE
for supporting our team members to conduct field
surveys in the Zhongshan Station region, Antarctica. This
study was supported by the National Key Research and Development
Program of China (grants 2017YFA0603100 and
2021YFB3900105), the National Natural Science Foundation
of China (grants 42276249, 41941006, 42111530185,
and 42011530088), and Fundamental Research Funds for
the Central Universities. This article contains supplementary
materials, provided by the authors, available at https://www.
doi.org/10.1109/MGRS.2022.3227056. Gang Qiao is the corresponding
author.
AUTHOR INFORMATION
Yanjun Li (1710992@tongji.edu.cn) received her B.E. degree
in remote sensing science and technology from Jiangsu Normal
University, Xuzhou, China, in 2017. She is currently a
Ph.D. candidate at Tongji University, Shanghai 20009, China,
majoring in surveying and mapping. She is also a visiting
Ph.D. student at Université Libre de Bruxelles, Belgium.
Her research interests include photogrammetry and remote
sensing, multitype satellite image processing, and instability
analysis of typical ice shelves in Antarctica.
Gang Qiao (qiaogang@tongji.edu.cn) received his B.S. degree
in surveying engineering and his Ph.D. degree in photogrammetry
and remote sensing from Tongji University in
88
2004 and 2009, respectively. He is currently a professor at
the College of Surveying and Geo-Informatics, Tongji University,
Shanghai 20009, China. He was a visiting Ph.D. student
with the Department of Civil and Environmental Engineering
and Geodetic Science, The Ohio State University,
Columbus, OH, USA, from 2008 to 2009. His research interests
include photogrammetry, satellite image processing,
and Antarctica remote sensing. He is a reviewer for several
international journals and a Member of IEEE and several
other international organizations.
Sergey Popov (spopov67@yandex.ru) received his Ph.D.
degree in geology and geophysics from St. Petersburg State
University in 2011. He is currently a senior geophysicist with
the Polar Marine Geosurvey Expedition, Saint Petersburg
State University, 198412 St. Petersburg, Russia. His research
interests include glaciology, subglacial hydrology, geomorphology,
the structure and dynamics of ice sheets, and processes
occurring on the ice base.
Xiangbin Cui (cuixiangbin@pric.gov.cn) received his
Ph.D. degree in geological resources and geological engineering
from the Department of Earth Sciences, Zhejiang
University, China, in 2010. He is currently a professor at the
Polar Research Institute of China, Shanghai 200136, China.
His research interests include studying the Antarctic ice sheet
and its potential change through radio-glaciological, geophysical,
and remote sensing methods.
Igor V. Florinsky (iflor@mail.ru) received his M.S. degree
in reprography, Ph.D. degree in remote sensing and photogrammetry,
and D.Sc. degree in cartography from the Moscow
State University of Geodesy and Cartography, Moscow,
Russia, in 1989, 1993, and 2010, respectively. He is currently a
principal research scientist with the Institute of Mathematical
Problems of Biology, Keldysh Institute of Applied Mathematics,
Russian Academy of Sciences, 142290 Pushchino, Russia.
He has authored or edited more than 150 publications, including
four books and 60 papers in peer-reviewed journals.
His research interests include the theory, methods, and applications
of digital terrain modeling and geomorphometry
as well as the influence of the geological environment on humans,
society, and civilization.
Xiaohan Yuan (1996yuanxiaohan@tongji.edu.cn) received
her B.S. degree in surveying engineering in 2018 from
Tongji University, Shanghai 20009, China, where she is currently
pursuing her Ph.D. degree in the discipline of surveying
and mapping. Her research interests include photogrammetry,
multisource satellite image processing, and remote
sensing applications for the observation of key parameters of
glaciers in Antarctica.
Lijuan Wang (lijuan_wang@tongji.edu.cn) received her
B.S. degree in geographic information science from Shandong
University of Science and Technology, Qingdao, China,
in 2020. She is currently a Ph.D. student at Tongji University,
Shanghai 20009, China, majoring in surveying and mapping.
Her research interests include photogrammetry, remote sensing
data processing, and their application in monitoring key
processes in the Antarctic.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE MARCH 2023
https://www.doi.org/10.1109/MGRS.2022.3227056 https://www.doi.org/10.1109/MGRS.2022.3227056
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