Francesco Nattino
DarkGenerators
Interpretable large scale deep generative models for Dark Matter searches
- generative models
- Machine learning
eEcoLiDAR
eScience infrastructure for ecological applications of LiDAR point clouds
- Big data
- Machine learning
- Visualization
A new perspective on global vegetation water dynamics from radar satellite data
Global vegetation water dynamics using radar satellite data
- Data assimilation
- deep learning
- Land Surface Model
- + 5
High spatial resolution phenological modelling at continental scales
Understanding phenological variability
- High performance computing
- Optimized data handling
- Statistics
MINERVA
MIcrowaves for a New Era of Remote sensing of Vegetation for Agricultural monitoring
- Agriculture
- Dask
- HPC
- + 4
Remote sensing of damage feedbacks and ice shelf instability in Antarctica
Using remote sensing to develop damage indicators across all Antarctic ice shelves
- Big data
- Climate change
- Data Analysis
- + 1
Eratosthenes
Chasing shadows to investigate glacier change worldwide
- edge detection
- Remote sensing
- satellite images
Computing societal dynamics of climate change adaptation in cities
Decision-support tools for the societal dynamics of climate change adaptation
Remote Sensing Deployable Analysis environmenT
RS-DAT
- High performance computing
- Image processing
- Machine learning
- + 1
MobyLe - Motion by Learning
Estimating Motion of Objects on Earth from Space
- Dask
- Earth Observation
- InSAR
- + 6
ESMValTool Knowledge Development
Netherlands eScience Center Knowledge Development project aiming to promote the use of ESMValTool and optimize its computational performance.
- Big data
- Climate change
- Climate modeling
- + 5
Springtime
Spatiotemporal phenology research with interpretable models
- Data Analysis
- Machine learning
- phenology