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Международная наука



 и управление льдами



 International Science




 and Ice Operations







































             Таким образом, проект позволит провести   Application Platform (SNAP). In parallel, the scien-
          комплексные исследования на базе объединения   tists at Finnish Meteorological Institute are work-
          интеллектуальных и инфраструктурных ресур-   ing to develop algorithms for identifying sea-ice
          сов партнеров из России, Норвегии, Финляндии   hummocks based on high-resolu-
          и Швеции, что позволит получить актуальные   tion SAR images. Once in place,
          знания о прогнозных ледовых нагрузках в север-  these algorithms will make it   C 2020 года эксперты
          ных морях и выработать решения по снижению   possible to map and keep statis-  САФУ начали работу по
          рисков хозяйственной деятельности при освое-  tical record of the emerging ice
          нии арктических территорий.                  hummocks.                        использованию снимков
                                                                                        со спутников TerraSAR-X,
             Comprehensive research                       Sophisticated modeling        TanDEM-X и Sentinel-1 для
             Designed to increase the knowledge of ice con-  In 2020, the project has pro-  анализа топографических
          ditions and to improve the sea ice forecast models,   duced its first sea ice modeling re-  характеристик территории
          IceOps seeks to promote the industrial development   sults, based on multi-criteria anal-  Since 2020, the project team at
          in the Arctic areas, contribute to ensuring mining   ysis, to assess the economic risks. It
          and environmental safety and facilitate marine ac-  used fuzzy logic to forecast the ice   NArFU have been obtaining images
          cessibility.                                 situation in the Pechora Sea. The   from TerraSAR-X, TanDEM-X
             IceOps unfolds within four basic activity areas: ac-  analysis covered also the northern
          cumulation of data, including remotely sensed, on the   and the western sectors of the Bar-  and Sentinel-1 satellites to analyze
          Barents and Pechora sea ice conditions; field studies and   ents Sea.         the topographic features of the
          geophysical research; laboratory analysis of field data;   The project team at Luleå Uni-  target area
          and simulation of ice mechanics and marine operations.   versity of Technology are testing
          By using modern computational techniques and com-  the physical  properties of  differ-
          bining various data sets – on physical properties of ice,   ent types of ice and evaluating the
          SAR data, historical data for Arctic sea ice – the project   parameters of ice-structure interaction. A number of
          has as its outcome a comprehensive description of the   simplified models for calculating the sea ice impact   SOZVEZDYE #36
          impact the ice may have on offshore structures and the   on structures have been developed by SINTEF Nar-
          related economic risks.                      vik. These models take due consideration of the type
             In place are the reports covering the Barents sea   of ice and its dynamic performance.      исследования
          ice conditions, prepared by experts of NArFU. The   The project continues its activities. Year 2021      exploration
          obtained SAR images have been verified against the   will see the team going on a number of expeditions.
          actual ice conditions as observed by project team   The final results will be presented at internation-
          from NArFU Arctic Floating University 2019.  al venues – Arctic Engineering School (September
             Since 2020, the project team at NArFU have   2021), Arctic Projects – Today and Tomorrow (Oc-
          been obtaining images from TerraSAR-X, Tan-  tober 2021), among others. The project is expected
          DEM-X and Sentinel-1 satellites to analyze the top-  to produce one more deliverable – an international   Фото: FMI  27
          ographic features of the target area using Sentinel   training course.                       Photo: FMI
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