Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction. - Katalin Blix; Gustau Camps-Valls; Robert Jenssen (IGARSS, 2015)

Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. - Katalin Blix; Gustau Camps-Valls; Robert Jenssen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Up-Scaling from Quad-Polarimetric to Dual-Polarimetric SAR Data Using Machine Learning Gaussian Process Regression. - Katalin Blix; Martine Mostervik Espeseth; Torbjørn Eltoft (IGARSS, 2018)

Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval. - Katalin Blix; Torbjørn Eltoft (Remote. Sens., 2018)

Evaluation of Feature Ranking and Regression Methods for Oceanic Chlorophyll-a Estimation. - Katalin Blix; Torbjørn Eltoft (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

A Generalized Chlorophyll-A Estimation Model for Complexity-Diverse Arctic Waters. - Katalin Blix; Torbjørn Eltoft (IGARSS, 2019)

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; Juan Li; Philippe Y. Massicotte; Atsushi Matsuoka (Remote. Sens., 2019)

Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations. - Katalin Blix (IGARSS, 2020)

Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric Sar Data. - Katalin Blix; Martine Mostervik Espeseth; Torbjørn Eltoft (IGARSS, 2020)

Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data. - Katalin Blix; Martine Mostervik Espeseth; Torbjørn Eltoft (IEEE Trans. Geosci. Remote. Sens., 2021)

Learning Relevant Features of Optical Water Types. - Katalin Blix; Ana Belen Ruescas; Juan Emmanuel Johnson; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2022)

Supervised Classifications of Optical Water Types in Spanish Inland Waters. - Marcela Pereira-Sandoval; Ana B. Ruescas; Jorge García-Jimenez; Katalin Blix; Jesús Delegido; José Moreno 001 (Remote. Sens., 2022)

Retrieving Chlorophyll-A Concentration For Lake Balaton With Landsat Based On GEE. - Huan Li; Katalin Blix; Boglárka Somogyi; Viktor R. Tóth (IGARSS, 2023)

Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation. - Martin H. Skjelvareid; Eli Rinde; Kasper Hancke; Katalin Blix; Galice G. Hoarau (IGARSS, 2023)

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). - Muhammad Asim 003; Atsushi Matsuoka; Pål Gunnar Ellingsen; Camilla Brekke; Torbjørn Eltoft; Katalin Blix (IEEE Trans. Geosci. Remote. Sens., 2023)

Leveraging Landsat and Google Earth Engine for long-term chlorophyll-a monitoring: A case study of Lake Balaton's water quality. - Huan Li; Boglárka Somogyi; Xiaona Chen; Zengliang Luo; Katalin Blix; Sirui Wu; Zheng Duan; Viktor R. Tóth (Ecol. Informatics, 2025)