About this Research Topic
This research topic collection provides a platform to address the challenge of accurately assessing and understanding polar sea ice dynamics through advanced remote sensing techniques. With the accelerating impacts of climate change on polar regions, there is a pressing need to monitor sea ice extent, concentration, thickness, and other related parameters. This collection aims to explore innovative methodologies and recent advancements in remote sensing technology to enhance our comprehension of polar sea ice behavior.
Researchers can contribute by proposing novel algorithms for extracting detailed ice information from various remote sensing sensors, integrating data from multiple sources for comprehensive analysis, and developing machine learning approaches for accurate prediction of ice trends. Furthermore, we welcome studies that employ cutting-edge technologies like synthetic aperture radar (SAR), passive microwave sensors, and optical imagery to capture the complex interactions between ice and the surrounding environment. By disseminating the latest research in this field, the special issue strives to advance our knowledge of polar sea ice changes, contributing to informed decision-making, climate modeling, and the sustainable management of these critical regions.
This research topic encompasses a wide spectrum of themes. Contributors are encouraged to investigate advancements in remote sensing methodologies for polar sea ice monitoring, including but not limited to techniques for accurate ice extent, concentration, and thickness estimation. Exploring innovative fusion of data from diverse sensors, machine learning applications, and integration with climate models to project future ice trends are also pertinent themes. Manuscripts focusing on novel approaches utilizing synthetic aperture radar (SAR), passive microwave, and optical imagery, as well as studies addressing the challenges of data integration, validation, and uncertainty assessment, are particularly sought after. The special issue welcomes original research articles, reviews, and technical notes that contribute to our understanding of polar sea ice dynamics, fostering informed decision-making and sustainable management strategies.
Keywords: Sea ice, remote sensing, satellite data, deep learning, Arctic, Antarctic, machine learning, microwave radar, optical sensor
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.