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Bilde av Khachatrian, Eduard
Bilde av Khachatrian, Eduard
Researcher / Renewable Energy Department of Physics and Technology eduard.khachatrian@uit.no You can find me here

Eduard Khachatrian

Job description

Wind Assessment in the Arctic Using Remote Sensing and Multimodal Analysis of Oceanic Eddies in the Marginal Ice Zone


My research focuses on several key areas in Arctic environmental monitoring. In particular, I am trying to assess wind patterns using remote sensing wind products, concentrating mostly on their evaluation and comparison with other data sources, including regional and global reanalysis, as well as in-situ measurements. This work enhances the understanding of wind dynamics crucial to Arctic climate fluctuations. Furthermore, I focus on observing and detecting oceanic eddies in the marginal ice zone using synthetic aperture radar and optical satellite data. These eddies play a vital role in heat and mass transport in the Arctic, and my work aims to improve their detection and characterization within ice-covered regions.

  • Nikita V. Sandalyuk, Eduard Khachatrian, Maxim Budyansky :
    Assessing the potential of Eddy detection in MIZ using SAR and Lagrangian modeling: A test case on Fram Strait
    Journal of Sea Research 2024 ARKIV / DOI
  • Eduard Khachatrian, Patricia Lea Elisabeth Asemann, Zhou Lihong, Yngve Birkelund, Igor Ezau, Benjamin Ricaud :
    Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic
    Atmosphere 2024 ARKIV / DOI
  • Eduard Khachatrian, Patricia Lea Elisabeth Asemann :
    The Value of Sentinel-1 Ocean Wind Fields Component for the Study of Polar Lows
    Remote Sensing 2024 ARKIV / DOI
  • Eduard Khachatrian, Nikita V. Sandalyuk, Pigi Lozou :
    Eddy Detection in the Marginal Ice Zone with Sentinel-1 Data Using YOLOv5
    Remote Sensing 2023 ARKIV / DOI
  • Eduard Khachatrian, Wolfgang Fritz Otto Dierking, Saloua Chlaily, Torbjørn Eltoft, Frode Dinessen, Nick Hughes et al.:
    SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification
    Geophysical Research Letters 2023 ARKIV / DOI
  • Catherine Cecilia A Taelman, Saloua Chlaily, Eduard Khachatrian, Fons Van Der Sommen, Andrea Marinoni :
    On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis
    CEUR Workshop Proceedings 2022 ARKIV / FULLTEKST
  • Eduard Khachatrian, Nikita V. Sandalyuk :
    On the Exploitation of Multimodal Remote Sensing Data Combination for Mesoscale/Submesoscale Eddy Detection in the Marginal Ice Zone
    IEEE Geoscience and Remote Sensing Letters 2022 ARKIV / DOI
  • Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Wolfgang Fritz Otto Dierking, Frode Dinessen, Andrea Marinoni :
    Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / DOI
  • Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Andrea Marinoni :
    A Multimodal Feature Selection Method for Remote Sensing Data Analysis Based on Double Graph Laplacian Diagonalization
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 ARKIV / DOI
  • Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Paolo Gamba, Andrea Marinoni :
    Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2021 ARKIV / DOI
  • Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Andrea Marinoni :
    Selecting principal attributes in multimodal remote sensing for sea ice characterization
    VDE Verlag GmbH 2021 ARKIV
  • Eduard Khachatrian, Saloua Chlaily, Torbjørn Eltoft, Andrea Marinoni :
    Unsupervised Information Selection In Multimodal Sea Ice Remote Sensing
    The International Association for Hydro-Environment Engineering and Research (IAHR) 2020 FULLTEKST
  • Catherine Cecilia A Taelman, Johannes Lohse, Eduard Khachatrian, Sam Cremers, Andrea Marinoni :
    Semi-automated classification of sea ice types using C- and L-band SAR data
    2022
  • Catherine Cecilia A Taelman, Saloua Chlaily, Eduard Khachatrian, Andrea Marinoni :
    Graph-based label propagation for multimodal remote sensing data
    2021
  • Catherine Cecilia A Taelman, Saloua Chlaily, Eduard Khachatrian, Andrea Marinoni :
    On the exploitation of heterophily in graph-based multimodal remote sensing data analysis
    2021
  • Catherine Cecilia A Taelman, Saloua Chlaily, Eduard Khachatrian, Andrea Marinoni :
    On the exploitation of heterophily in graph-based multimodal remote sensing data analysis
    2021

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    Research interests

    My main research interest lies within Earth Observation using Remote Sensing, with a particular focus on observing various phenomena with different sensors. Currently, I am working on wind assessment in the Arctic, focusing on SAR-based products. During my PhD, I concentrated mostly on developing a multimodal information selection method used to improve the performance of sea ice classification in the Arctic.

    Researcher profile in Cristin
    ResearchGate
    ORCID: https://orcid.org/0000-0002-5765-8781

    Member of research group

    Earth Observation   Norsk innhold Renewable energy   Norsk innhold

    CV

    Degrees

    • Doctor of Philosophy - PhD, Remote Sensing and Sea Ice, UiT- The Arctic University of Norway. Dissertation: “Multimodal Integrated Remote Sensing for Arctic Sea Ice Monitoring"
    • Master's Degree, Polar and Marine Sciences, University of Hamburg. Master’s Thesis: “Validation of ATI SAR Ocean Surface and Sea Ice Velocity Derived from TanDEM-X and Coastal Radar Data, Near Barrow, Alaska”
    • Bachelor's Degree, Oceanography, Saint Petersburg State University. Bachelor’s Thesis: “Conditions of the Ice Navigation in the Vilkitsky Strait”

     

    LinkedIn : https://www.linkedin.com/in/eduard-khachatrian-3589b8240/