Stein Sandven

Research interests
The research activities are mainly in the areas of remote sensing of sea ice and oceanographic processes including ocean acoustics. Work includes ocean and sea ice field work with data collection and data analysis. In sea ice research data from different types of satellite sensors are used for studies of sea ice classification, drift, thickness and processes such as leads, polynyas and ridges. Validation of sea ice remote sensing data uses data from in situ observations. The research is focused on development of operational observing systems for the Arctic seas using both satellite, in situ, and underwater sensors.
He has been coordinator of many Arctic research projects during the last 30 years, including 19 EU projects, 16 ESA projects and 20 projects under the Research Council of Norway. From 2011 to 2018 he was the science leader of the ESA CCI sea ice project (2012-2018). From 2017 his main responsibility and fulltime job is to coordinate the H2020 project Arctic Integrated Observation System (INTAROS), which runs from 2016 to 2022. INTAROS has 49 partners from 20 countries and a budget of 15.5 MEURO. As coordinator of INTAROS, he works with the major organisations, programmes and projects related to Arctic observing systems in Europe, North America and Asia. From 2020 to 2022 he is coordinator of the Coordination and Support Action CAPARDUS under H2020. Presently he is member of the advisory boards for several new Arctic projects funded by EU and the Research Council of Norway.
Project leader of the following projects
NERSC Principal Investigator of the following projects
Project deputy leader of the following projects
Peer Review Publications and Books
2017
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Sea ice drift tracking from sequential SAR images using accelerated-KAZE features. IEEE Transactions on Geoscience and Remote Sensing. 2017;55(9)..
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Sea ice as an essential climate variable from remote sensing and modelling. Proceedings - International Conference on Port and Ocean Engineering under Arctic Conditions. 2017;.
2016
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Sea ice cover in Isfjorden and Hornsund, Svalbard (2000–2014) from remote sensing data. The Cryosphere. 2016;10(1)..
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Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery. The Cryosphere. 2016;10(2)..
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CoCoNet: Towards Coast to Coast Networks of Marine Protected Areas (from the shore to the high and deep sea), coupled with Sea-Based Wind Energy Potential. SCIRES-IT : SCIentific RESearch and Information Technology. 2016;6.
2015
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Multipurpose Acoustic Networks in the Integrated Arctic Ocean Observing System. Arctic. 2015;68(5).
2014
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The Fram Strait integrated observing and modelling system. I: Sustainable Operational Oceanography - Proceedings of the Sixth International Conference on EuroGOOS 4–6 October 2011, Sopot, Poland. 2014.
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Arctic sea ice and Eurasian climate: A review. Advances in Atmospheric Sciences. 2014;32(1).
2013
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The ESA Climate Change Initiative: satellite data records for essential climate variables. Bulletin of The American Meteorological Society - (BAMS). 2013;94(10).
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Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice. The Cryosphere. 2013;7(4)..
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Classification of sea ice types in ENVISAT synthetic aperture radar images. IEEE Transactions on Geoscience and Remote Sensing. 2013;51(5)..
2012
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Importance of fast ice and glacier fronts for female polar bears and their cubs during spring in Svabard,Norway. Marine Ecology Progress Series. 2012;447:16.
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Importance of fast ice and glacier fronts for female polar bears and their cubs during spring in Svalbard, Norway. Marine Ecology Progress Series. 2012;447.
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Ocean observatories for understanding and monitoring Arctic change. OCEANS. 2012;(MTS/IEEE - YEOSU)..
2011
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Forecasting Waves-in-ice for Arctic Operators. Exploration and Production: Oil and Gas Review [Internett]. 2011;9. Available from: http://www.touchoilandgas.com/forecasting-waves-arctic-operators-a8824-1.html.
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Recent wind driven high sea ice area export in the Fram Strait contributes to Arctic sea ice decline. The Cryosphere. 2011;5(4):821 - 829..
Other Publications
2010
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Retrieval of sea ice drift from SAR doppler shift [Internett]. ESA Living Planet Symposium. 2010;Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.
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MyOcean SIW TAC, Sea Ice products and service [Internett]. ESA Living Planet Symposium. 2010;Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html
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ASAR Catalogue Ice Parameters Valid for Sustainable Development Harp Seals White Sea, Newfoundland, Jan-Mayen Population [Internett]. I: ESA Living Planet Symposium. Bergen, June 28 - July 2, 2010: 2010. Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.
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Methodology of Complex Analysis of Sea Ice SAR Images [Internett]. I: ESA Living Planet Symposium. Bergen, June 28 - July 2, 2010: 2010. Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html
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Analysis of Arctic ice thickness, freeboard and snow cover from the data of Russian Sever expeditions [Internett]. I: ESA Living Planet Symposium. Bergen, June 28 - July 2, 2010: 2010. Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.
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Interoperable GMES services for environmental risk management in marine and coastal areas. I: Proceedings of the 5th EuroGOOS Conference, Coastal to Global Operational Oceanography: Achievements and Challenges. Exeter, May 2008: 2010..
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Ice Motion and Ice Area Flux in the Fram Strait. I: ESA Living Planet Symposium. Bergen, Norway 28.June - 2.July 2010.: 2010..
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Fram Sea Ice area transport 1950-2010. I: IPY - OsloScience Conference. Oslo, 8-12 June, 2010: 2010..
2009
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New technology reveals the Arctic´s secrets. International Innovation [Internett]. 2009;Available from: www.researchmedia.eu.
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Interoperable web GIS services for marine pollution monitoring and forecasting. Journal of Coastal Conservation [Internett]. 2009;13. Available from: http://www.springerlink.com/content/q288j64362329230/fulltext.pdf
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