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Arctic amplification has altered the climate patterns both regionally and globally, resulting in more frequent and more intense extreme weather events in the past few decades. The essential part of Arctic amplification is the unprecedented…

Atmospheric and Oceanic Physics · Physics 2023-08-10 Sahara Ali , Jianwu Wang

The more than 200,000 glaciers outside the ice sheets play a crucial role in our society by influencing sea-level rise, water resource management, natural hazards, biodiversity, and tourism. However, only a fraction of these glaciers…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Codruţ-Andrei Diaconu , Konrad Heidler , Jonathan L. Bamber , Harry Zekollari

Understanding the structure of Earth's polar ice sheets is important for modeling how global warming will impact polar ice and, in turn, the Earth's climate. Ground-penetrating radar is able to collect observations of the internal structure…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Yuchen Wang , Mingze Xu , John Paden , Lora Koenig , Geoffrey Fox , David Crandall

Variation of Arctic sea ice has significant impacts on polar ecosystems, transporting routes, coastal communities, and global climate. Tracing the change of sea ice at a finer scale is paramount for both operational applications and…

Atmospheric and Oceanic Physics · Physics 2024-10-15 Jingyi Xu , Siwei Tu , Weidong Yang , Shuhao Li , Keyi Liu , Yeqi Luo , Lipeng Ma , Ben Fei , Lei Bai

Global environment monitoring is a task that requires additional attention in the contemporary rapid climate change environment. This includes monitoring the rate of deforestation and areas affected by flooding. Satellite imaging has…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Dmytro Filatov , Ghulam Nabi Ahmad Hassan Yar

Lakes provide a wide range of valuable ecosystem services, such as water supply, biodiversity habitats, and carbon sequestration. However, lakes are increasingly threatened by climate change and human activities. Therefore, continuous…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Yutian Han , Baoxiang Huang , He Gao

Forecasting sea ice concentration (SIC) and sea ice velocity (SIV) in the Arctic Ocean is of great significance as the Arctic environment has been changed by the recent warming climate. Given that physical sea ice models require high…

Machine Learning · Computer Science 2024-11-22 Younghyun Koo , Maryam Rahnemoonfar

In recent decades, climate change has significantly affected glacier dynamics, resulting in mass loss and an increased risk of glacier-related hazards including supraglacial and proglacial lake development, as well as catastrophic outburst…

Image and Video Processing · Electrical Eng. & Systems 2022-08-02 Zhiyuan Xie , Umesh K. Haritashya , Vijayan K. Asari , Michael P. Bishop , Jeffrey S. Kargel , Theus H. Aspiras

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

We present a system for complementing snow phenomena monitoring with virtual measurements extracted from public visual content. The proposed system integrates an automatic acquisition and analysis of photographs and webcam images depicting…

Computer Vision and Pattern Recognition · Computer Science 2015-08-11 Roman Fedorov , Piero Fraternali , Chiara Pasini , Marco Tagliasacchi

Fluctuations of the glacier calving front have an important influence over the ice flow of whole glacier systems. It is therefore important to precisely monitor the position of the calving front. However, the manual delineation of SAR…

Machine Learning · Computer Science 2021-05-05 Andreas Hartmann , Amirabbas Davari , Thorsten Seehaus , Matthias Braun , Andreas Maier , Vincent Christlein

As we deal with the effects of climate change and the increase of global atmospheric temperatures, the accurate tracking and prediction of ice layers within polar ice sheets grows in importance. Studying these ice layers reveals climate…

Machine Learning · Computer Science 2023-06-27 Benjamin Zalatan , Maryam Rahnemoonfar

Sea ice plays a critical role in the global climate system and maritime operations, making timely and accurate classification essential. However, traditional manual methods are time-consuming, costly, and have inherent biases. Automating…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Samira Alkaee Taleghan , Andrew P. Barrett , Walter N. Meier , Farnoush Banaei-Kashani

With the rapid advancement of artificial intelligence technology, AI-enabled image recognition has emerged as a potent tool for addressing challenges in traditional environmental monitoring. This study focuses on the detection of floating…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Jingyu Zhang , Ao Xiang , Yu Cheng , Qin Yang , Liyang Wang

Given the growing environmental challenges, accurate monitoring and prediction of changes in water bodies are essential for sustainable management and conservation. The Continuous Monitoring of Land Disturbance (COLD) algorithm provides a…

Machine Learning · Computer Science 2025-04-07 Huong Pham , Samuel Cheng , Tao Hu , Chengbin Deng

As Arctic conditions rapidly change, human activity in the Arctic will continue to increase and so will the need for high-resolution observations of sea ice. While satellite imagery can provide high spatial resolution, it is temporally…

Computer Vision and Pattern Recognition · Computer Science 2019-06-03 M. D. Parno , B. A. West , A. J. Song , T. S. Hodgdon , D. T. O'Connor

Recent rapid loss of the Arctic sea ice motivates the study of the Arctic sea ice thickness. Global climate model that describes the ice's thickness evolution requires an accurate spatial temperature profile of the Arctic sea ice. However,…

Optimization and Control · Mathematics 2019-01-31 Shumon Koga , Miroslav Krstic

In this paper, we introduce a novel framework for combining scientific knowledge within physics-based models and recurrent neural networks to advance scientific discovery in many dynamical systems. We will first describe the use of outputs…

Machine Learning · Computer Science 2018-10-09 Xiaowei Jia , Anuj Karpatne , Jared Willard , Michael Steinbach , Jordan Read , Paul C Hanson , Hilary A Dugan , Vipin Kumar

Rapid changes in Earth's cryosphere caused by human activity can lead to significant environmental impacts. Computer models provide a useful tool for understanding the behavior and projecting the future of Arctic and Antarctic ice sheets.…

Methodology · Statistics 2019-08-01 Won Chang , Bledar A. Konomi , Georgios Karagiannis , Yawen Guan , Murali Haran

Global warming is an urgent issue that is generating catastrophic environmental changes, such as the melting of sea ice and glaciers, particularly in the polar regions. The melting pattern and retreat of polar sea ice cover is an essential…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Jurdana Masuma Iqrah , Younghyun Koo , Wei Wang , Hongjie Xie , Sushil Prasad