The overall ambition of CIRFA is that the centre will become a knowledge hub for research and development on Arctic surveillance technologies, with leading expertise in disciplines such as remote sensing, signal processing, radar technology, RPAS technology, data assimilation and numerical modelling. CIRFA builds on broad competence in remote sensing, and takes advantage of the considerable infrastructure, that has been built up in Tromsø over the recent decades. The core CIRFA team consists of leading senior scientists, PhDs and Post Docs in addition to industry representatives and innovation experts.
CIRFA is hosted by the Department of Physics and Technology at UiT the Arctic University of Norway. CIRFA is one of 17 Centres for Research-based Innovation (SFI) granted in 2014. The purpose of an SFI is to build up and strengthen Norwegian research groups that work in close collaboration with partners from innovative industry and public enterprises. The Research Council of Norway (RCN project number 237906), together with the partners, Troms fylkeskommune, and the host institution, provides the funding for the centre.
The Department of Physics and technology announces a vacant Postdoctoral position in “Sea Ice Satellite Remote Sensing”. The position is funded by the project “Sea Ice deformation and Snow for an Arctic in Transition (SIDRIFT)” through Research Council of Norway. SIDRIFT will investigate the role of sea ice deformation and snow on ice in the…Read More »
When: 15-16 October Where: Sommarøy Arctic Hotel AS Keep the date!!Read More »
Artem Moiseev, Harald Johnsen, Morten Hansen, Johnny Johannessen: Evaluation of Ocean Surface Current from Sentinel-1A IW Doppler Shift Observations using In-situ, and other Remote Sensing Observations of the Norwegian Coastal Current Tuesday 11:10-11:25 Space 4 Floor 0 and Suman Singha, Malin Johansson2, Anthony Doulgeris: Arctic Sea Ice Classification Using ALOS-2 Palsar-2 L-Band SAR Images Tuesday…Read More »
to PhD student Katalin Blix who has been selected as one of 10 lucky participants for this year’s Researcher Grand Prix.Read More »
by Richard Hann, PhD Fellow Many of the glaciers on Svalbard are heavily crevassed. A multidisciplinary research group is now using drones to create high-resolution maps of glacier surfaces to study how crevasses influence the rate of heat exchange with the atmosphere. A glacier is a large mass of snow and ice that is slowly,…Read More »
As a part of the NFR funded «Oil spill and newly formed sea ice detection, characterization, and mapping in the Barents Sea using remote sensing by SAR – OIBSAR” Professor Camilla Brekke and researcher Malin Johansson have visited the P. P. Shirshov Institute of Oceanology at Russian Academy of Sciences. Our partners Andrei Ivanov and…Read More »
Research done by Sebastian Gerland (NPI) and other members of the CIRFA team was published in Framforum 2019. The article can be found on page 12-17. Fram Forum is published once a year by Framsenteret AS on behalf of FRAM – the High North research Centre for Climate and the Environment.Read More »
The article entitled: “Capacity and limits of multimodal remote sensing” by Andrea Marinoni, Saloua Chlaily, Mauro Dalla Mura, Jocelyn Chanussot, Christian Jutten, and Paolo Gamba was accepted to EarthVision 2019. Abstract: Although multimodal remote sensing data analysis can strongly improve the characterization of physical phenomena on Earth surface, nonidealities and estimation imperfections between records and…Read More »
The article “A review of unmanned vehicles for the detection and monitoring of marine fauna” by Ursula K.Verfussa, Ana Sofia Aniceto, Danielle V. Harris, Douglas Gillespie, Sophie Fielding, Guillermo Jiménez, Phil Johnston, Rachael R.Sinclair, Agnar Sivertsen, Stian A. Solbø, Rune Storvold, Martin Biuw, Roy Wyatt has been published in Marine Pollution Bulletin. Abstract Recent technology…Read More »
CIRFA welcomes you to a seminar presented by CIRFA Associate Professor Andrea Marinoni. The title of the presentation is: “ASSESSMENT OF POLARIMETRIC VARIABILITY BY DISTANCE GEOMETRY FOR ENHANCED CLASSIFICATION OF OIL SLICKS USING SAR”. We introduce a new approach for investigation of polarimetric Synthetic Aperture Radar (PolSAR) images for oil slick analysis. Our method aims…Read More »
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