| Remote sensing of water quality parameters over Lake Balaton by using Sentinel-3 OLCI K Blix, K Pálffy, V R. Tóth, T Eltoft Water 10 (10), 1428, 2018 | 74 | 2018 |
| Machine learning automatic model selection algorithm for oceanic chlorophyll-a content retrieval K Blix, T Eltoft Remote Sensing 10 (5), 775, 2018 | 47 | 2018 |
| 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 … K Blix, J Li, P Massicotte, A Matsuoka Remote Sensing 11 (18), 2076, 2019 | 25 | 2019 |
| Gaussian process sensitivity analysis for oceanic chlorophyll estimation K Blix, G Camps-Valls, R Jenssen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 25 | 2017 |
| Earlier sea-ice melt extends the oligotrophic summer period in the Barents Sea with low algal biomass and associated low vertical flux D Kohlbach, L Goraguer, YV Bodur, O Müller, M Amargant-Arumí, K Blix, ... Progress in Oceanography 213, 103018, 2023 | 21 | 2023 |
| The law of the sea and current practices of marine scientific research in the Arctic H Woker, B Schartmüller, KO Dølven, K Blix Marine Policy 115, 103850, 2020 | 12 | 2020 |
| Evaluation of feature ranking and regression methods for oceanic chlorophyll-a estimation K Blix, T Eltoft IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 11 | 2018 |
| R Tóth, V., & Eltoft, T.(2018) K Blix, K Pálffy Remote sensing of water quality parameters over Lake Balaton by using …, 0 | 9 | |
| 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) M Asim, A Matsuoka, PG Ellingsen, C Brekke, T Eltoft, K Blix IEEE Transactions on Geoscience and Remote Sensing 61, 1-19, 2022 | 8 | 2022 |
| Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction K Blix, G Camps-Valls, R Jenssen 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 7 | 2015 |
| Machine Learning simulations of quad-polarimetric features from dual-polarimetric measurements over sea ice K Blix, MM Espeseth, T Eltoft EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 1-5, 2018 | 6 | 2018 |
| Supervised classifications of optical water types in Spanish inland waters M Pereira-Sandoval, AB Ruescas, J García-Jimenez, K Blix, J Delegido, ... Remote Sensing 14 (21), 5568, 2022 | 5 | 2022 |
| Learning relevant features of optical water types K Blix, AB Ruescas, JE Johnson, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 5 | 2021 |
| Machine learning classification, feature ranking and regression for water quality parameters retrieval in various optical water types from hyper-spectral observations K Blix IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 5 | 2020 |
| Machine learning for Arctic sea ice physical properties estimation using dual-polarimetric SAR data K Blix, MM Espeseth, T Eltoft IEEE Transactions on Geoscience and Remote Sensing 59 (6), 4618-4634, 2020 | 4 | 2020 |
| Up-scaling from quad-polarimetric to dual-polarimetric sar data using machine learning gaussian process regression K Blix, MM Espeseth, T Eltoft IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 4 | 2018 |
| Remote sensing of water quality parameters over Lake Balaton by using Sentinel-3 OLCI. Water (Switzerland), 10 (10) K Blix, K Pálffy, VR Tóth, T Eltoft | 4 | 2018 |
| Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation MH Skjelvareid, E Rinde, K Hancke, K Blix, GG Hoarau IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 3 | 2023 |
| A generalized chlorophyll-a estimation model for complexity-diverse Arctic waters K Blix, T Eltoft IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 2 | 2019 |
| Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric Sar Data K Blix, MM Espeseth, T Eltaft IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 1 | 2020 |
