Resolution Analysis of Airborne Electromagnetic Survey Using Helicopter Platform and UAV

Author(s):  
Marina G. Persova ◽  
Yury G. Soloveichik ◽  
Denis V. Vagin ◽  
Dmitry S. Kiselev ◽  
Anastasia P. Sivenkova ◽  
...  
Author(s):  
M G Persova ◽  
Y G Soloveichik ◽  
D V Vagin ◽  
D S Kiselev ◽  
O S Trubacheva ◽  
...  

2019 ◽  
Author(s):  
Oliver Conway-White ◽  
Colby M. Steelman ◽  
Hernan Ugalde ◽  
Adam Smiarowski ◽  
Emmanuelle Arnaud ◽  
...  

Preview ◽  
2012 ◽  
Vol 2012 (158) ◽  
pp. 39-42 ◽  
Author(s):  
Marina T. Costelloe ◽  
Ian C. Roach

2020 ◽  
Author(s):  
S.C.T. Wong ◽  
I.C. Roach ◽  
M.G. Nicoll ◽  
P.M. English ◽  
M.-A. Bonnardot ◽  
...  

2019 ◽  
Author(s):  
Yiyuan He* ◽  
Xuefeng Cao ◽  
Zhanhui Li ◽  
Ziqiang Zhu ◽  
Shengjun Liang ◽  
...  

2015 ◽  
Vol 56 (69) ◽  
pp. 363-372 ◽  
Author(s):  
Andrew R. Mahoney ◽  
Hajo Eicken ◽  
Yasushi Fukamachi ◽  
Kay I. Ohshima ◽  
Daisuke Simizu ◽  
...  

AbstractData from the Seasonal Ice Zone Observing Network (SIZONet) acquired near Barrow, Alaska, during the 2009/10 ice season allow novel comparisons between measurements of ice thickness and velocity. An airborne electromagnetic survey that passed over a moored Ice Profiling Sonar (IPS) provided coincident independent measurements of total ice and snow thickness and ice draft at a scale of 10 km. Once differences in sampling footprint size are accounted for, we reconcile the respective probability distributions and estimate the thickness of level sea ice at 1.48 ± 0.1 m, with a snow depth of 0.12 ± 0.07 m. We also complete what we believe is the first independent validation of radar-derived ice velocities by comparing measurements from a coastal radar with those from an under-ice acoustic Doppler current profiler (ADCP). After applying a median filter to reduce high-frequency scatter in the radar-derived data, we find good agreement with the ADCP bottom-tracked ice velocities. With increasing regulatory and operational needs for sea-ice data, including the number and thickness of pressure ridges, coordinated observing networks such as SIZONet can provide the means of reducing uncertainties inherent in individual datasets.


2021 ◽  
Author(s):  
Youichi Yuuki ◽  
Akira Shinsei ◽  
Zenshiro Saito ◽  
Satoshi Tomimori ◽  
Akiyo Yamaguchi ◽  
...  

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