Katalin Blix

16 papers C 7Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Leveraging Landsat and Google Earth Engine for long-term chlorophyll-a monitoring: A case study of Lake Balaton's water quality.
Ecol. Informatics
Huan Li, Boglárka Somogyi, Xiaona Chen, Zengliang Luo, Katalin Blix, Sirui Wu, Zheng Duan, Viktor R. Tóth
2023 J jnl
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 Trans. Geosci. Remote. Sens.
Muhammad Asim, Atsushi Matsuoka, Pål Gunnar Ellingsen, Camilla Brekke, Torbjørn Eltoft, Katalin Blix
2023 C conf
Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation.
IGARSS
Martin H. Skjelvareid, Eli Rinde, Kasper Hancke, Katalin Blix, Galice G. Hoarau
2023 C conf
Retrieving Chlorophyll-A Concentration For Lake Balaton With Landsat Based On GEE.
IGARSS
Huan Li, Katalin Blix, Boglárka Somogyi, Viktor R. Tóth
2022 J jnl
Learning Relevant Features of Optical Water Types.
IEEE Geosci. Remote. Sens. Lett.
Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls
2022 J jnl
Supervised Classifications of Optical Water Types in Spanish Inland Waters.
Remote. Sens.
Marcela Pereira-Sandoval, Ana B. Ruescas, Jorge García-Jimenez, Katalin Blix, Jesús Delegido, José Moreno
2021 J jnl
Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data.
IEEE Trans. Geosci. Remote. Sens.
Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft
2020 C conf
Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric Sar Data.
IGARSS
Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft
2020 C conf
Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations.
IGARSS
Katalin Blix
2019 C conf
A Generalized Chlorophyll-A Estimation Model for Complexity-Diverse Arctic Waters.
IGARSS
Katalin Blix, Torbjørn Eltoft
2019 J jnl
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. Sens.
Katalin Blix, Juan Li, Philippe Y. Massicotte, Atsushi Matsuoka
2018 J jnl
Evaluation of Feature Ranking and Regression Methods for Oceanic Chlorophyll-a Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Katalin Blix, Torbjørn Eltoft
2018 J jnl
Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval.
Remote. Sens.
Katalin Blix, Torbjørn Eltoft
2018 C conf
Up-Scaling from Quad-Polarimetric to Dual-Polarimetric SAR Data Using Machine Learning Gaussian Process Regression.
IGARSS
Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft
2017 J jnl
Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Katalin Blix, Gustau Camps-Valls, Robert Jenssen
2015 C conf
Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction.
IGARSS
Katalin Blix, Gustau Camps-Valls, Robert Jenssen