Katalin Blix
Doreen Kohlbach,
Lucie Goraguer,
Yasemin V. Bodur,
Oliver Müller,
Martí Amargant Arumí,
Katalin Blix
m.fl.:
Earlier sea-ice melt extends the oligotrophic summer period in the Barents Sea with low algal biomass and associated low vertical flux
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
Katalin Blix,
Viktor R. Tóth
:
Machine learning methods for remote sensing of Lake Balaton
Hungarian Journal of Hydrology 2022
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)
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
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
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
:
Machine Learning for Arctic Sea Ice Physical
Properties Estimation Using Dual-Polarimetric SAR
Data
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,
Torbjørn Eltoft
:
Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval
Katalin Blix,
Martine Espeseth,
Torbjørn Eltoft
:
Machine Learning simulations of quad-polarimetric features from dual-polarimetric measurements over sea ice
Katalin Blix,
Jorge García-Jimenez,
Ana Belén Ruescas,
Julia Amoros,
Galice Guillaume Hoarau,
Eli Rinde
m.fl.:
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
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
:
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
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
m.fl.:
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. oktober 2018
Katalin Blix
:
MESTERSÉGES INTELLIGENCIA A BALATON VÍZMINŐSÉGÉNEK MEGFIGYELÉSERE
2018
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