
Katalin Blix
Doreen Kohlbach,
Lucie Goraguer,
Yasemin V. Bodur,
Oliver Müller,
Marti Amargant-Arumi,
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 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
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)
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,
Martine Espeseth,
Torbjørn Eltoft
:
Machine Learning for Arctic Sea Ice Physical
Properties Estimation Using Dual-Polarimetric SAR
Data
Hilde Woker,
Bernhard Schartmüller,
Knut Ola Dølven,
Katalin Blix
:
The law of the sea and current practices of marine scientific research in the Arctic
Katalin Blix,
Martine Espeseth,
Torbjørn Eltoft
:
Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric SAR Data
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
Katalin Blix,
Károly Pálffy,
Viktor R. Tóth,
Torbjørn Eltoft
:
Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI
Katalin Blix,
Martine Espeseth,
Torbjørn Eltoft
:
Machine Learning simulations of quad-polarimetric features from dual-polarimetric measurements over sea ice
Katalin Blix,
Torbjørn Eltoft
:
Evaluation of feature ranking and regression methods for oceanic chlorophyll-a estimation
Katalin Blix,
Torbjørn Eltoft
:
Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval
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
Silje Grue,
Martin Skjelvareid,
Katalin Blix
:
Machine Learning for Classifying Marine Vegetation from Hyperspectral Drone Data in the Norwegian coast
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
Katalin Blix
:
Satellite remote sensing over ocean surfaces in the Arctic
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
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
:
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,
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
:
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
:
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
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