OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY

Regional extent and spatiotemporal dynamics of Arctic permafrost disturbances remain poorly quantified. High spatial resolution commercial satellite imagery enables transformational opportunities to observe, map, and document the micro-topographic transitions occurring in Arctic polygonal tundra at multiple spatial and temporal frequencies. The entire Arctic has been imaged at 0.5 m or finer resolution by commercial satellite sensors. The imagery is still largely underutilized, and value-added Arctic science products are rare. Knowledge discovery through artificial intelligence (AI), big imagery, high performance computing (HPC) resources is just starting to be realized in Arctic science. Large-scale deployment of petabyte-scale imagery resources requires sophisticated computational approaches to automated image interpretation coupled with efficient use of HPC resources. In addition to semantic complexities, multitude factors that are inherent to sub-meter resolution satellite imagery, such as file size, dimensions, spectral channels, overlaps, spatial references, and imaging conditions challenge the direct translation of AI-based approaches from computer vision applications. Memory limitations of Graphical Processing Units necessitates the partitioning of an input satellite imagery into manageable sub-arrays, followed by parallel predictions and post-processing to reconstruct the results corresponding to input image dimensions and spatial reference. We have developed a novel high performance image analysis framework –Mapping application for Arctic Permafrost Land Environment (MAPLE) that enables the integration of operational-scale GeoAI capabilities into Arctic science applications. We have designed the MAPLE workflow to become interoperable across HPC architectures while utilizing the optimal use of computing resources.

‘Ancient lore with modern appliances’: networks, expertise, and the making of the Open Polar Sea, 1851–1853

This article provides a transnational analysis of the campaigns for the organization of expeditions to the central Arctic region by the American explorer Elisha Kent Kane and the Prussian cartographer August Petermann between 1851 and 1853. By adopting a comparative approach, this study focuses on three interventions in the history of Arctic science and exploration: the construction of scientific expertise surrounding the relationship between the ‘armchair’ and the field, the role of transnational networks, and the significance of maps as travelling epistemic objects in the production of knowledge about the Arctic regions. In bringing both campaigns in conversation with each other, this article demonstrates that the histories of Kane's and Petermann's campaigns did not constitute isolated episodes but form part of a transnational nexus of imperial science and Arctic exploration in the nineteenth century. Moreover, based on research in libraries and archives in the United States, Germany and England, this study reconnects otherwise siloed collections and contributes new findings on the interpersonal networks of science and exploration. Finally, this article illustrates the importance of adopting comparative transnational approaches for understanding the fluid and reciprocal nature of Arctic science throughout the transatlantic world.

From Arctic Science to Global Policy – Addressing Multiple Stressors Under the Stockholm Convention

Rapid climate change in the Arctic triggers the remobilization of chemical pollution, increasing its exposure and potential impacts in the region. While scientific knowledge on multiple stressors, including the interlinkages between climate change and hazardous chemicals, is increasing, it has proven challenging to translate this knowledge into policy. This study analyzes the process of translating Arctic scientific knowledge on multiple stressors into global policy by focusing on the development of a guidance document under the Stockholm Convention on Persistent Organic Pollutants (POPs). Through document analysis and key informant interviews, we focus particularly on the role of the Arctic Council working group AMAP in synthesizing, translating and communicating science on multiple stressors to policy makers. We draw on the theoretical framework of formalization (how and by whom knowledge is summarized for policy) and separation (the relative distance between science and policy) to analyze the science-to-policy interface. Our analysis of the phases leading up to the guidance document show that AMAP has dynamically moved between different degrees of separation and formalization. Orchestrating the interplay between scientists and policy makers, the working group has put multiple stressors on the political agenda internationally. AMAP has thereby contributed to turn Arctic science into global policy through the guidance document. We conclude by illustrating several constraints in terms of the implementation of actual policy, which we argue is due to an increasing degree of formalization in the last phase and a general unreadiness of contemporary governance systems to address multiple stressors.