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Antarctic krill (Euphausia superba) are among the most abundant species on our planet and serve as a vital food source for many marine predators in the Southern Ocean. In this paper, we utilise statistical spatio-temporal methods to combine…

Applications · Statistics 2025-06-18 André Victor Ribeiro Amaral , Adam M. Sykulski , Sophie Fielding , Emma Cavan

Monitoring benthic biodiversity in Antarctica is vital for understanding ecological change in response to climate-driven pressures. This work is typically performed using high-resolution imagery captured in situ, though manual annotation of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Cameron Trotter , Huw Griffiths , Tasnuva Ming Khan , Rowan Whittle

Rapid climate change has wide-ranging implications for the Arctic region, including sea ice loss, increased geopolitical attention, and expanding economic activity, including a dramatic increase in shipping activity. As a result, the risk…

Populations and Evolution · Quantitative Biology 2020-09-29 Mandana Saebi , Jian Xu , Salvatore R. Curasi , Erin K. Grey , Nitesh V. Chawla , David M. Lodge

Atmospheric seeing is one of the most important parameters for evaluating and monitoring an astronomical site. Moreover, being able to predict the seeing in advance can guide observing decisions and significantly improve the efficiency of…

Instrumentation and Methods for Astrophysics · Physics 2023-04-10 Xu Hou , Yi Hu , Fujia Du , Michael C. B. Ashley , Chong Pei , Zhaohui Shang , Bin Ma , Erpeng Wang , Kang Huang

The high Antarctic plateau provides exceptional conditions for conducting infrared observations of the cosmos on account of the cold, dry and stable atmosphere above the ice surface. This paper describes the scientific goals behind the…

Accurate estimation of sea ice drift is critical for Arctic navigation, climate research, and operational forecasting. While optical flow, a computer vision technique for estimating pixel wise motion between consecutive images, has advanced…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Daniela Martin , Joseph Gallego

Automated fish documentation processes are in the near future expected to play an essential role in sustainable fisheries management and for addressing challenges of overfishing. In this paper, we present a novel and publicly available…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Stefan Hein Bengtson , Daniel Lehotský , Vasiliki Ismiroglou , Niels Madsen , Thomas B. Moeslund , Malte Pedersen

Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by marine biologists. Manual processing of videos for quantification by human analysts is time and labour intensive. Automatic processing of…

Computer Vision and Pattern Recognition · Computer Science 2018-07-17 Ranju Mandal , Rod M. Connolly , Thomas A. Schlacherz , Bela Stantic

Fish products account for about 16 percent of the human diet worldwide, as of 2017. The counting action is a significant component in growing and producing these products. Growers must count the fish accurately, to do so technological…

Computer Vision and Pattern Recognition · Computer Science 2022-09-14 Chen Rothschild

Accurate and automated sea ice classification is important for climate monitoring and maritime safety in the Arctic. While Synthetic Aperture Radar (SAR) is the operational standard because of its all-weather capability, it remains…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 David Mike-Ewewie , Panhapiseth Lim , Priyanka Kumar

For marine biologists, ascertaining the dependence structures between marine species and marine environments, such as sea surface temperature and ocean depth, is imperative for defining ecosystem functioning and providing insights into the…

Methodology · Statistics 2026-02-23 Tomotaka Momozaki , Tomoyuki Nakagawa , Shonosuke Sugasawa , Hiroko Kato Solvang

The persistent lack of spatially complete Antarctic sea ice thickness (SIT) data at sub-monthly resolution has fundamentally constrained the quantitative understanding of large-scale sea ice mass balance processes. In this study, a…

Geophysics · Physics 2025-05-13 Ziqi Ma , Qinghua Yang , Yue Xu , Wen Shi , Xiaoran Dong , Qian Shi , Hao Luo , Jiping Liu , Petteri Uotila , Yafei Nie

The increasing demand for aquaculture production necessitates the development of innovative, intelligent tools to effectively monitor and manage fish health and welfare. While non-invasive video monitoring has become a common practice in…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Lukas Folkman , Quynh LK Vo , Colin Johnston , Bela Stantic , Kylie A Pitt

High-resolution sea ice mapping using Synthetic Aperture Radar (SAR) is crucial for Arctic navigation and climate monitoring. However, operational ice charts provide only coarse, region-level polygons (weak labels), forcing automated…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Reda Elwaradi , Julien Gimenez , Stéphane Hordoir , Mehdi Ait Hamma , Adrien Chan-Hon-Tong , Flora Weissgerber

The ability to estimate invertebrate biomass using only images could help scaling up quantitative biodiversity monitoring efforts. Computer vision-based methods have the potential to omit the manual, time-consuming, and destructive process…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Mikko Impiö , Philipp M. Rehsen , Jarrett Blair , Cecilie Mielec , Arne J. Beermann , Florian Leese , Toke T. Høye , Jenni Raitoharju

Aquaculture production -- the cultivation of aquatic plants and animals -- has grown rapidly since the 1990s, but sparse, self-reported and aggregate production data limits the effective understanding and monitoring of the industry's trends…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Sebastian Quaade , Andrea Vallebueno , Olivia D. N. Alcabes , Kit T. Rodolfa , Daniel E. Ho

This paper introduces an automated vision system for animal detection in trail-camera images taken from a field under the administration of the Texas Parks and Wildlife Department. As traditional wildlife counting techniques are intrusive…

Computer Vision and Pattern Recognition · Computer Science 2021-03-09 Golnaz Moallem , Don D. Pathirage , Joel Reznick , James Gallagher , Hamed Sari-Sarraf

The reduction in sea ice cover with Arctic warming facilitates the transit of ships through routes that are remarkably shorter than the traditional shipping routes. Automatic Identification System (AIS), ideally designed to avoid vessel…

Physics and Society · Physics 2024-07-04 Jorge P. Rodríguez , Konstantin Klemm , Carlos M. Duarte , Víctor M. Eguíluz

Antarctic penguins are important ecological indicators -- especially in the face of climate change. In this work, we present a deep learning based model for semantic segmentation of Ad\'elie penguin colonies in high-resolution satellite…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Hieu Le , Bento Gonçalves , Dimitris Samaras , Heather Lynch

Antarctic ice shelves play a vital role in preserving the physical conditions of the Antarctic cryosphere and the Southern Ocean, and beyond. By serving as a buttressing force, ice shelves prevent sea-level rise by restraining the flow of…

Atmospheric and Oceanic Physics · Physics 2024-08-23 Aishwarya Chakravarthy , Dhiman Mondal , John Barrett , Chet Ruszczyk , Pedro Elosegui
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