collaborators

7 papers

cs.CV2026

AquaCubeAI-Powered Monitoring Turbidity on-board Φsat-2

Pietro Di Stasio, Francesca Razzano, Elisa Liparulo +6

Timely monitoring of coastal water quality is critical for environmental protection, yet conventional satellite workflows rely on downlink and ground processing, introducing latenc…

cs.CV2026

IC-EO: Interpretable Code-based assistant for Earth Observation

Lamia Lahouel, Laurynas Lopata, Simon Gruening +3

Despite recent advances in computer vision, Earth Observation (EO) analysis remains difficult to perform for the laymen, requiring expert knowledge and technical capabilities. Furt…

cs.LG2024

Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites

Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello +4

Segmentation of Earth observation (EO) satellite data is critical for natural hazard analysis and disaster response. However, processing EO data at ground stations introduces delay…

cs.CV2024

AI techniques for near real-time monitoring of contaminants in coastal waters on board future Phisat-2 mission

Francesca Razzano, Pietro Di Stasio, Francesco Mauro +4

Differently from conventional procedures, the proposed solution advocates for a groundbreaking paradigm in water quality monitoring through the integration of satellite Remote Sens…

physics.data-an2024

Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting

Patrick Ebel, Brandon Victor, Peter Naylor +3

Hurricanes and coastal floods are among the most disastrous natural hazards. Both are intimately related to storm surges, as their causes and effects, respectively. However, the sh…

cs.CV2024

Monitoring water contaminants in coastal areas through ML algorithms leveraging atmospherically corrected Sentinel-2 data

Francesca Razzano, Francesco Mauro, Pietro Di Stasio +4

Monitoring water contaminants is of paramount importance, ensuring public health and environmental well-being. Turbidity, a key parameter, poses a significant problem, affecting wa…

cs.NE2024

Scalable Network Emulation on Analog Neuromorphic Hardware

Elias Arnold, Philipp Spilger, Jan V. Straub +4

We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks. This…