| Crop yield estimation and interpretability with Gaussian processes L Martínez-Ferrer, M Piles, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 18 (12), 2043-2047, 2020 | 37 | 2020 |
| Interpretability of recurrent neural networks in remote sensing A Pérez-Suay, JE Adsuara, M Piles, L Martínez-Ferrer, E Díaz, ... IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 13 | 2020 |
| Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning L Martínez-Ferrer, Á Moreno-Martínez, M Campos-Taberner, ... Remote Sensing of Environment 280, 113199, 2022 | 10 | 2022 |
| Data cubes for earth system research: Challenges ahead DM Loaiza, G Kraemer, A Anghelea, CLA Camacho, G Brandt, ... EarthArXiv, 2023 | 2 | 2023 |
| Large scale masked autoencoding for reducing label requirements on sar data M Allen, F Dorr, JA Gallego-Mejia, L Martínez-Ferrer, A Jungbluth, ... arXiv preprint arXiv:2310.00826, 2023 | 1 | 2023 |
| Fewshot learning on global multimodal embeddings for earth observation tasks M Allen, F Dorr, JA Gallego-Mejia, L Martínez-Ferrer, A Jungbluth, ... arXiv preprint arXiv:2310.00119, 2023 | 1 | 2023 |
| Towards Foundation Models for Earth Observation; Benchmarking Datasets and Performance on Diverse Downstream Tasks A Jungbluth, M Allen, F Dorr, J Gallego-Mejia, L Martínez-Ferrer, ... EGU24, 2024 | | 2024 |
| Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery JA Gallego-Mejia, A Jungbluth, L Martínez-Ferrer, M Allen, F Dorr, ... arXiv preprint arXiv:2310.03513, 2023 | | 2023 |
| Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction L Martínez-Ferrer, A Jungbluth, JA Gallego-Mejia, M Allen, F Dorr, ... arXiv preprint arXiv:2310.02048, 2023 | | 2023 |
| Data Cubes for Earth System Research: Challenges Ahead D Montero Loaiza, G Kraemer, A Anghelea, C Aybar Camacho, G Brandt, ... EarthArXiv eprints, X58M2V, 2023 | | 2023 |
| Gaussian Processes for vegetation traits global mapping L Martínez-Ferrer, Á Moreno-Martínez, J Muñoz-Marí, H Meyer, M Ludwig, ... EGU General Assembly Conference Abstracts, EGU-5331, 2023 | | 2023 |
| Physics-Aware Machine Learning for Carbon Fluxes at High Spatio-Temporal Resolution and Scales Á Moreno-Martínez, L Martínez-Ferrer, J Muñoz-Marí, ... EGU General Assembly Conference Abstracts, EGU-7439, 2023 | | 2023 |
| Anticipating the SIF-GPP linearity breakdown with machine learning-Implications on climate extremes and vegetation stress G Camps-Valls, A Moreno-Martinez, L Martinez-Ferrer, J Muñoz-Marí, ... EGU23, 2023 | | 2023 |
| Carbon fluxes estimation with aleatoric and epistemic uncertainties at high spatial resolution over large areas L Martínez-Ferrer, Á Moreno-Martínez, JS Kimball, SW Running, N Clinton, ... EGU General Assembly Conference Abstracts, EGU22-10248, 2022 | | 2022 |
| Long-time record and continuous high resolution gross primary productivity estimates at continental scales. A Moreno, L Martinez-Ferrer, J Kimball, M Jung, M Reichstein, S Running, ... AGU Fall Meeting Abstracts 2021, B55E-1252, 2021 | | 2021 |
| Epistemic and aleatoric uncertainty maps in high resolution biophysical parameter retrieval L Martínez-Ferrer, Á Moreno-Martínez, J Muñoz-Marí, ... EGU General Assembly Conference Abstracts, EGU21-15196, 2021 | | 2021 |
| High spatial resolution gap free biophysical variables for Earth Observation at continental scales with Google Earth Engine L Martínez-Ferrer, A Moreno, J Muñoz, E Izquierdo-Verdiguier, ... AGU Fall Meeting Abstracts 2020, B040-07, 2020 | | 2020 |
| Multisensor crop yield estimation with Machine Learning L Martínez Ferrer, M Piles, G Camps-Valls EGU General Assembly Conference Abstracts, 21329, 2020 | | 2020 |
