Interpretability of Recurrent Neural Networks in Remote Sensing. - Adrián Pérez-Suay; José E. Adsuara; María Piles; Laura Martínez-Ferrer; Emiliano Diaz; Álvaro Moreno-Martínez; Gustau Camps-Valls (IGARSS, 2020)

Crop Yield Estimation and Interpretability With Gaussian Processes. - Laura Martínez-Ferrer; Maria Piles; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2021)

Fewshot learning on global multimodal embeddings for earth observation tasks. - Matt Allen 001; Francisco Dorr; Joseph A. Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data. - Matt Allen 001; Francisco Dorr; Joseph A. Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction. - Laura Martínez-Ferrer; Anna Jungbluth; Joseph A. Gallego-Mejia; Matt Allen 001; Francisco Dorr; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery. - Joseph A. Gallego-Mejia; Anna Jungbluth; Laura Martínez-Ferrer; Matt Allen 001; Francisco Dorr; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2023)

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data. - Matthew J. Allen 001; Francisco Dorr; Joseph Alejandro Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (NeurIPS, 2024)

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data. - Matthew J. Allen 001; Francisco Dorr; Joseph Alejandro Gallego-Mejia; Laura Martínez-Ferrer; Anna Jungbluth; Freddie Kalaitzis; Raúl Ramos-Pollán (CoRR, 2024)

Earth System Data Cubes: Avenues for advancing Earth system research. - David Montero 001; Guido Kraemer; Anca Anghelea; César Aybar; Gunnar Brandt; Gustau Camps-Valls; Felix Cremer; Ida Flik; Fabian Gans; Sarah Habershon; Chaonan Ji; Teja Kattenborn; et al. (CoRR, 2024)