A new global corpus of dense Sentinel-1 SAR time series for 15,606 offshore wind infrastructure locations is released with baseline semantic labels and an expert benchmark, enabling analyses of deployment dynamics.
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A regression formulation of the Langevin equation enables resilience estimation for non-stationary time series data with robustness to gaps and irregular sampling.
Flow matching achieves single-step pixel accuracy and 20-step perceptual quality for Sentinel-2 super-resolution, outperforming diffusion and Real-ESRGAN while enabling large-scale 2.5 m land-cover products.
citing papers explorer
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Global Offshore Wind Infrastructure: Deployment and Operational Dynamics from Dense Sentinel-1 Time Series
A new global corpus of dense Sentinel-1 SAR time series for 15,606 offshore wind infrastructure locations is released with baseline semantic labels and an expert benchmark, enabling analyses of deployment dynamics.
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Estimating the Resilience of Non-Stationary Systems
A regression formulation of the Langevin equation enables resilience estimation for non-stationary time series data with robustness to gaps and irregular sampling.
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Flow matching for Sentinel-2 super-resolution: implementation, application, and implications
Flow matching achieves single-step pixel accuracy and 20-step perceptual quality for Sentinel-2 super-resolution, outperforming diffusion and Real-ESRGAN while enabling large-scale 2.5 m land-cover products.