Deep learning for geophysics: Current and future trends

S Yu, J Ma - Reviews of Geophysics, 2021 - Wiley Online Library
Recently deep learning (DL), as a new data‐driven technique compared to conventional
approaches, has attracted increasing attention in geophysical community, resulting in many …

UAVs for science in Antarctica

P Pina, G Vieira - Remote Sensing, 2022 - mdpi.com
Remote sensing is a very powerful tool that has been used to identify, map and monitor
Antarctic features and processes for nearly one century. Satellite remote sensing plays the …

[HTML][HTML] Burned area semantic segmentation: A novel dataset and evaluation using convolutional networks

TFR Ribeiro, F Silva, J Moreira, RLC Costa - ISPRS Journal of …, 2023 - Elsevier
Wildfires have significant impacts on the environment, society, and economy. Consequently,
understanding its dynamics is crucial to evaluate such effects. Nonetheless, monitoring and …

Antarctic icebergs reorganize ocean circulation during Pleistocene glacials

A Starr, IR Hall, S Barker, T Rackow, X Zhang… - Nature, 2021 - nature.com
The dominant feature of large-scale mass transfer in the modern ocean is the Atlantic
meridional overturning circulation (AMOC). The geometry and vigour of this circulation …

Ocean remote sensing techniques and applications: A review (part ii)

M Amani, S Mehravar, RM Asiyabi, A Moghimi… - Water, 2022 - mdpi.com
As discussed in the first part of this review paper, Remote Sensing (RS) systems are great
tools to study various oceanographic parameters. Part I of this study described different …

An adaptive machine learning approach to improve automatic iceberg detection from SAR images

MM Barbat, C Wesche, AV Werhli, MM Mata - ISPRS Journal of …, 2019 - Elsevier
Iceberg distribution, dispersion and melting patterns are fundamental aspects in the balance
of heat and freshwater in the Southern Ocean; yet these features are not fully understood …

Automated iceberg tracking with a machine learning approach applied to SAR imagery: A Weddell sea case study

MM Barbat, T Rackow, C Wesche, HH Hellmer… - ISPRS Journal of …, 2021 - Elsevier
Drifting icebergs represent a significant hazard for polar navigation and are able to impact
the ocean environment around them. Freshwater flux and the associated cooling from …

[HTML][HTML] Mapping icebergs in sea ice: An analysis of seasonal SAR backscatter at C-and L-band

L Færch, W Dierking, N Hughes… - Remote Sensing of …, 2024 - Elsevier
Icebergs in the Arctic can pose a threat to maritime traffic and offshore installations and
influence the properties of the upper ocean layer. While icebergs in open water are regularly …

Deployment strategies of a satellite constellation for polar ice monitoring

M Pontani, P Teofilatto - Acta Astronautica, 2022 - Elsevier
This research considers a constellation of 16 satellites equipped with SAR sensors and
tailored to monitoring the polar ice evolution, with a suitable revisit time over the regions of …

A Comparison of CFAR Object Detection Algorithms for Iceberg Identification in L-and C-band SAR Imagery of the Labrador Sea

L Færch, W Dierking, N Hughes… - The Cryosphere …, 2023 - tc.copernicus.org
In this study, we pursue two objectives: first, we compare six different “Constant-False-Alarm-
Rate"(CFAR) algorithms for iceberg detection in SAR images, and second, we investigate …