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Bilde av Blix, Katalin
Bilde av Blix, Katalin
Researcher / Earth Observation Department of Physics and Technology katalin.blix@uit.no You can find me here

Katalin Blix

  • Doreen Kohlbach, Lucie Goraguer, Yasemin V. Bodur, Oliver Müller, Martí Amargant Arumí, Katalin Blix et al.:
    Earlier sea-ice melt extends the oligotrophic summer period in the Barents Sea with low algal biomass and associated low vertical flux
    Progress in Oceanography 2023 ARKIV / DOI
  • Martin Hansen Skjelvareid, Eli Rinde, Kasper Hancke, Katalin Blix, Galice Guillaume Hoarau :
    Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2023 ARKIV / DOI
  • Katalin Blix, Viktor R. Tóth :
    Machine learning methods for remote sensing of Lake Balaton
    Hungarian Journal of Hydrology 2022
  • Marcela Pereira-Sandoval, Ana Belen Ruescas, Jorge García-Jimenez, Katalin Blix, Jesús Delegido, José Moreno :
    Supervised Classifications of Optical Water Types in Spanish Inland Waters
    Remote Sensing 2022 ARKIV / DOI
  • Muhammad Asim, Atsushi Matsuoka, Pål Gunnar Ellingsen, Camilla Brekke, Torbjørn Eltoft, Katalin Blix :
    A new spectral harmonization algorithm for Landsat-8 and Sentinel-2 remote sensing reflectance products using machine learning: a case study for the Barents Sea (European Arctic)
    IEEE Transactions on Geoscience and Remote Sensing 2022 ARKIV / DOI
  • Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls :
    Learning Relevant Features of Optical Water Types
    IEEE Geoscience and Remote Sensing Letters 2021 DOI
  • Katalin Blix :
    Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2020 DOI
  • Katalin Blix, Martine Espeseth, Torbjørn Eltoft :
    Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric SAR Data
    IEEE International Geoscience and Remote Sensing Symposium proceedings 2020 ARKIV / DOI
  • Hilde Woker, Bernhard Schartmüller, Knut Ola Dølven, Katalin Blix :
    The law of the sea and current practices of marine scientific research in the Arctic
    Marine Policy 2020 ARKIV / DOI
  • Katalin Blix, Martine Espeseth, Torbjørn Eltoft :
    Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
    IEEE Transactions on Geoscience and Remote Sensing 2020 ARKIV / DOI
  • Katalin Blix, Juan Li, Philippe Massicotte, Atsushi Matsuoka :
    Developing a New Machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI
    Remote Sensing 2019 ARKIV / DOI
  • Katalin Blix, Torbjørn Eltoft :
    Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval
    Remote Sensing 2018 ARKIV / DOI
  • Katalin Blix, Martine Espeseth, Torbjørn Eltoft :
    Machine Learning simulations of quad-polarimetric features from dual-polarimetric measurements over sea ice
    Electronic proceedings (EUSAR) 2018 ARKIV / DOI
  • Katalin Blix, Jorge García-Jimenez, Ana Belén Ruescas, Julia Amoros, Galice Guillaume Hoarau, Eli Rinde et al.:
    Comparison of Explainable Machine Learning Methods for Marine Vegetation Mapping by Using Hyperspectral Imagery
    2024
  • Martin Hansen Skjelvareid, Eli Rinde, Kasper Hancke, Maia Røst Kile, Galice Guillaume Hoarau, Katalin Blix :
    Mapping shallow-water maerl beds with UAV hyperspectral imaging - using convolutional neural nets for image segmentation based on both spectra and texture
    2024
  • Katalin Blix :
    Robustness Evaluation of Machine Learning Methods for Remote Sensing of Optically Complex Waters
    2023
  • Katalin Blix :
    Remote Sensing of Optically Complex Waters by Using Machine Learning Techniques 
    2023
  • Katalin Blix, Jorge García-Jimenez :
    Lake Balaton from Space - processing satellite imagery in practice
    2023
  • Martin Skjelvareid, Katalin Blix, Galice Guillaume Hoarau, Eli Rinde, Kasper Hancke :
    Mapping seagrass and rockweed habitats using UAV hyperspectral imaging and machine learning.
    2023 SAMMENDRAG
  • Martin Skjelvareid, Katalin Blix, Eli Rinde, Kasper Hancke, Galice Guillaume Hoarau :
    Shallow water habitat mapping using UAV hyperspectral imaging
    2023
  • Katalin Blix :
    Machine Learning and XAI for Remote Sensing Optically Complex Waters
    2023
  • Muhammad Asim, Sidrah Hafeez, Atsushi Matsuoka, Man Sing Wong, Sawaid Abbas, Torbjørn Eltoft et al.:
    Atmospheric Correction of Landsat 8 Operational Land Imager (OLI), Sentinel-2 MultiSpectral Imager (MSI) over Asian, European and U.S Inland and Coastal waters.
    2023
  • Martin Skjelvareid, Galice Guillaume Hoarau, Eli Rinde, Kasper Hancke, Katalin Blix :
    Underwater vegetation mapping based on UAV hyperspectral imaging - a potential use case for semantic segmentation through deep learning
    2022
  • Katalin Blix :
    Satellite remote sensing over ocean surfaces in the Arctic
    2022
  • Silje Grue, Martin Skjelvareid, Katalin Blix :
    Machine Learning for Classifying Marine Vegetation from Hyperspectral Drone Data in the Norwegian coast
    2022
  • Muhammad Asim, Camilla Brekke, Torbjørn Eltoft, Katalin Blix :
    Preliminary analysis of combined Sentinel-2 and Landsat-8 remote sensing reflectance products for improved monitoring of Chlorophyll-a over the Barents Sea
    2022
  • Katalin Blix, Muhammad Asim, Huan Li, Torbjørn Eltoft :
    Comparison of in-situ and Sentinel 3 OLCI radiometric measurements in Lake Balaton
    2022
  • Muhammad Asim, Camilla Brekke, Torbjørn Eltoft, Katalin Blix :
    Optical Remote Sensing and Machine Learning for Water Quality Parameter Retrieval in the Barents Sea
    2022
  • Silje Grue, Katalin Blix, Martin Skjelvareid :
    Machine Learning for Classifying Marine Vegetation from Hyperspectral Drone Data in the Norwegian coast
    UiT Norges arktiske universitet 2022 FULLTEKST
  • Katalin Blix, Viktor R. Tóth :
    Machine learning remote sensing of optical water types in large shallow lakes
    2021
  • Katalin Blix :
    Machine learning methods for remote sensing Lake Balaton
    2021
  • Katalin Blix :
    Machine learning methods in Earth Observation
    2021
  • Katalin Blix :
    Explainable Artificial Intelligence Techniques for Monitoring Arctic Coastal Waters
    2021
  • Katalin Blix, Viktor R. Tóth :
    Mesterséges intelligencia a Balaton vízminőségének műholdas megfigyelésére
    2021
  • Katalin Blix :
    Machine learning to monitor Norwegian coastal waters
    2021
  • Torbjørn Eltoft, Malin Johansson, Anthony Paul Doulgeris, Suman Singha, Polona Itkin, Katalin Blix :
    Advancing information extraction on Arctic sea ice using a multi-sensor and multi-temporal integrated approach
    2021
  • Katalin Blix :
    Remote Sensing of Arctic Environments
    2020
  • Katalin Blix :
    Innovative Technologies for Monitoring Arctic Waters with Upcoming Sensors
    2020
  • Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls :
    Machine Learning for Automatic Recognition of Optical Water Types in Arctic
    2020
  • Katalin Blix :
    Spatial and Informational Upscaling by Using Machine Learning Methods
    2020
  • Katalin Blix :
    Machine Learning for Remote Sensing of Arctic waters
    2019
  • Katalin Blix :
    Machine Learning for Remote Sensing Applications
    2019
  • Katalin Blix, Torbjørn Eltoft :
    Machine Learning Remote Sensing for Ecosystem Monitoring in the Arctic
    2019
  • Katalin Blix, Károly Pálffy, Viktor R. Tóth, Torbjørn Eltoft :
    Machine Learning for Remote Sensing Complex Waters
    2019
  • Katalin Blix :
    Machine Learning Water Quality Monitoring
    UiT Norges arktiske universitet 2019
  • Katalin Blix :
    Machine Learning for Monitoring Arctic Waters by using Sentinel 3 OLCI
    2019
  • Katalin Blix, Torbjørn Eltoft :
    A Generalized Chlorophyll-a Estimation Model for Complexity-Diverse Waters
    2019
  • Knut Ola Dølven, Hilde Woker, Bernhard Schartmüller, Katalin Blix :
    The Law of the Sea and Marine Scientific Research in the Arctic
    2019
  • Katalin Blix :
    Kan teknologi redde vannet vårt?
    15. October 2018
  • Katalin Blix :
    MESTERSÉGES INTELLIGENCIA A BALATON VÍZMINŐSÉGÉNEK MEGFIGYELÉSERE
    2018

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    Member of research group

    Earth Observation   Norsk innhold

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    Massimal    English content