Publicaciones
Todo lo que he publicado, con DOI.
- A radiometrically and spatially consistent super-resolution framework for Sentinel-2
- SEN2NEON: Enabling Quantitative Benchmarking of Sentinel-2 Superresolution for All Multispectral Bands
- Evaluating Machine Learning Emulators for Atmospheric Radiative Transfer: The Atmospheric Machine Learning Emulation Challenge
- The Missing Piece: Standardising for AI-ready Earth Observation Datasets
- The Atmospheric Machine Learning Emulation Challenge (AMLEC)
- Near-Infrared Band Synthesis From Earth Observation Imagery With Learned Location Embeddings and Task-Driven Loss Functions
- OpenSR-SRGAN: A Flexible Super-Resolution Framework for Multispectral Earth Observation Data
- CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2
- SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution