Bilde av Blix, Katalin
Bilde av Blix, Katalin
Fysihka ja teknologiija instituhtta katalin.blix@uit.no +4777645197 Tromsø FPARK E 331.1

Katalin Blix



  • Katalin Blix, Viktor R. Tóth :
    Machine learning methods for remote sensing of Lake Balaton
    Hungarian Journal of Hydrology 2022
  • Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls :
    Learning Relevant Features of Optical Water Types
    IEEE Geoscience and Remote Sensing Letters 2022 DOI
  • 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 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
  • 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 :
    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
  • 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, 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, Károly Pálffy, Viktor R. Tóth, Torbjørn Eltoft :
    Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI
    Water 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, Torbjørn Eltoft :
    Evaluation of feature ranking and regression methods for oceanic chlorophyll-a estimation
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 22. Mar 2018 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 :
    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
  • 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
  • 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, 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 :
    Preliminary analysis of combined Sentinel-2 and Landsat-8 remote sensing reflectance products for improved monitoring of Chlorophyll-a over the Barents Sea
    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
  • Katalin Blix :
    Explainable Artificial Intelligence Techniques for Monitoring Arctic Coastal Waters
    2021
  • Katalin Blix :
    Machine learning methods in Earth Observation
    2021
  • Katalin Blix, Viktor R. Tóth :
    Mesterséges intelligencia a Balaton vízminőségének műholdas megfigyelésére
    2021
  • Katalin Blix :
    Machine learning methods for remote sensing Lake Balaton
    2021
  • Katalin Blix, Viktor R. Tóth :
    Machine learning remote sensing of optical water types in large shallow lakes
    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 :
    Machine learning to monitor Norwegian coastal waters
    2021
  • 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 :
    Innovative Technologies for Monitoring Arctic Waters with Upcoming Sensors
    2020
  • Katalin Blix :
    Remote Sensing of Arctic Environments
    2020
  • 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 :
    Machine Learning for Remote Sensing of Arctic waters
    2019
  • Katalin Blix, Torbjørn Eltoft :
    A Generalized Chlorophyll-a Estimation Model for Complexity-Diverse Waters
    2019
  • Katalin Blix :
    Machine Learning for Monitoring Arctic Waters by using Sentinel 3 OLCI
    2019
  • Katalin Blix :
    Machine Learning Water Quality Monitoring
    2019
  • Katalin Blix, Károly Pálffy, Viktor R. Tóth, Torbjørn Eltoft :
    Machine Learning for Remote Sensing Complex 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. Oct 2018
  • Katalin Blix :
    Intervju med Balatonfured TV om fjernmåling av vannkvalitet
    03. Oct 2018
  • Katalin Blix, Martine Espeseth, Torbjørn Eltoft :
    Up-Scaling From Quad-polarimetric To Dual-polarimetric SAR Data Using Machine Learning Gaussian Process Regression
    2018
  • Katalin Blix, Torbjørn Eltoft :
    Remote Sensing of Arctic Environments
    2018
  • Katalin Blix :
    Validation of Sentinel-3A OLCI Level-2 water-quality products over Lake Balaton
    2018
  • Katalin Blix :
    Machine Learning Gaussian Process Regression for Remote Sensing Applications
    2018
  • Katalin Blix :
    MESTERSÉGES INTELLIGENCIA A BALATON VÍZMINŐSÉGÉNEK MEGFIGYELÉSERE
    2018
  • Katalin Blix, Martine Espeseth, Torbjørn Eltoft :
    Machine Learning simulations of quad-polarimetric features from dual-polarimetric measurements over sea ice
    2018
  • Katalin Blix, Torbjørn Eltoft :
    Model selection algorithm for Chlorophyll-a content retrieval
    2017
  • Katalin Blix, Martine Espeseth, Torbjørn Eltoft :
    ML simulation of quad-pol features from dual-pol data
    2017
  • Katalin Blix :
    Úttörő jégtörő mérések az Északi­sarkon
    09. Aug 2017
  • Katalin Blix, Torbjørn Eltoft :
    Monitoring primary productivity through Chlorophyll-a content estimation in the Arctic
    2017

  • The 50 latest publications is shown on this page. See all publications in Cristin here →



    Member of research group


    Member of project



    FPARK E 331.1

    Click for bigger map