Bilde av Lohse, Johannes
Bilde av Lohse, Johannes
Department of Physics and Technology johannes.p.lohse@uit.no +4777645180

Johannes Lohse


Researcher / Earth Observation


  • QIANG WANG, Johannes Lohse, Anthony Paul Doulgeris, Torbjørn Eltoft :
    Data Augmentation for SAR Sea Ice and Water Classification Based on Per-Class Backscatter Variation With Incidence Angle
    IEEE Transactions on Geoscience and Remote Sensing 03. July 2023 ARKIV / DOI
  • Laurent Ferro-Famil, F Boutet, S Avrillon, Wolfgang Fritz Otto Dierking, Torbjørn Eltoft, Polona Itkin et al.:
    Overview of Ground-Based Radar Measurements of Snow-Covered Sea-Ice Led During the 2022 CIRFA Arctic Cruise
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2023 DOI
  • Torbjørn Eltoft, Malin Johansson, Johannes Lohse, Laurent Ferro-Famil :
    Analysis of Time Series of Polarimetric Sea Ice Signatures Observed In Fast Ice in the Belgica Bank Area
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2023 DOI
  • Wenkai Guo, Polona Itkin, Johannes Lohse, Malin Johansson, Anthony Paul Doulgeris :
    Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity
    The Cryosphere 2022 ARKIV / DOI
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    Incident Angle Dependence of Sentinel-1 Texture Features for Sea Ice Classification
    Remote Sensing 2021 ARKIV / DOI
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    Mapping sea-ice types from Sentinel-1 considering the surface-type dependent effect of incidence angle
    Annals of Glaciology 2020 ARKIV / DOI
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    An Optimal Decision-Tree Design Strategy and Its Application to Sea Ice Classification from SAR Imagery
    Remote Sensing 2019 ARKIV / DOI
  • Truls Karlsen, Malin Johansson, Johannes Lohse, Wolfgang Dierking :
    Arctic sea ice monitoring using C- and L-band SAR – how multi-frequency SAR can support a changing Arctic
    2023
  • Johannes Lohse, Catherine Cecilia A Taelman, Alistair Everett, Nick Hughes :
    Fully-automated navigation support for vessels in the Arctic: An application and validation example of ice type mapping during the CIRFA cruise 2022
    2023
  • QIANG WANG, Malin Johansson, Johannes Lohse, Anthony Paul Doulgeris, Torbjørn Eltoft :
    The impact of input features in deep learning based sea ice mapping
    2023
  • Catherine Cecilia A Taelman, Johannes Philipp Lohse, Anna Malin Kristin Johansson, Sveinung viggo Olsen, Jean Rabault, Torbjørn Eltoft :
    In-situ drift and wave observations of sea ice, icebergs and open ocean in the Greenland Sea
    2023 DATA
  • Catherine Cecilia A Taelman, Johannes Philipp Lohse, Anthony Paul Doulgeris, Anna Malin Kristin Johansson :
    From winter to melt season: C-band radar backscatter evolution of fast-drifting sea ice floes
    2023
  • Malin Johansson, Johannes Lohse :
    Sea ice studies using C- and L-band SAR
    2022
  • Malin Johansson, Polona Itkin, Catherine Cecilia A Taelman, Johannes Lohse, Jack Christopher Landy, Andrea Schneider :
    CIRFA science communicated
    2022
  • Johannes Lohse, Wolfgang Dierking :
    Towards combining C- and L-band SAR imagery​ for automated sea ice classification
    2022
  • Catherine Cecilia A Taelman, Johannes Lohse, Malin Johansson, Sveinung Viggo Olsen :
    In-situ sea ice and ocean drift observations in the Greenland Sea
    2022
  • 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
  • Malin Johansson, Johannes Lohse :
    Arctic sea ice monitoring using synthetic aperture radar satellite imagery at C- and L-band frequency
    2022
  • Johannes Lohse, Wolfgang Dierking, Malin Johansson, Anthony Paul Doulgeris, Catherine Taelman :
    Towards combining C-and L-band SAR imagery for operational sea ice type classification
    2022
  • Johannes Lohse, Torbjørn Eltoft, Salman Khaleghian, Qiang Wang :
    Sea ice classification methodologies developed in CIRFA
    2022
  • Andrea Schneider, Thomas Kræmer, Alistair Everett, Johannes Lohse, Nick Hughues, Tom Rune Lauknes :
    Mapping sea ice from space
    EGU Cryospheric Sciences Blog 10. September 2021 FULLTEKST
  • Wenkai Guo, Polona Itkin, Johannes Lohse :
    Cross-platform application of a sea ice classification method considering incidence angle dependency of backscatter intensity and its use in detecting ice deformation
    2020
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    Ice Type Mapping from Sentinel-1 Considering Surface-Type Dependent Effect of Incidence Angle
    2019
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    New Strategies for Automated Sea Ice Classification at CIRFA
    2019
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    Strategies for Automated Sea Ice Classification at CIRFA - Algorithm Development and Application Examples
    2019
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    Sea Ice Mapping from Sentinel-1
    2018
  • Johannes Lohse :
    Sea Ice in the Arctic: Remote Sensing and Ice Charting
    2018
  • Johannes Lohse, Anthony Paul Doulgeris, Wolfgang Dierking :
    Sea Ice Classification from SAR on Varying Scales
    2018
  • Johannes Lohse, Sindre Markus Fritzner :
    Assimilation of Sea Ice Information in Numerical Models
    2018
  • Vahid Akbari, Johannes Lohse, Wolfgang Dierking, Torbjørn Eltoft :
    Characterization and detection of icebergs in open water and sea ice using spaceborne fully polarimetric SAR
    2018
  • Jean Negrel, Sebastian Gerland, Anthony Paul Doulgeris, Anja Rösel, Johannes Lohse, Malin Johansson :
    In situ validation of Arctic sea ice classification based on remote sensing
    2017

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    Research interests

    • Sea ice physics and remote sensing
    • Polar research
    • (Semi-)automated classification

    Member of research group