Presents a new remote sensing benchmark for hedgerow segmentation using harmonized French data to evaluate generalization of supervised and self-supervised models across space and climate.
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7 Pith papers cite this work. Polarity classification is still indexing.
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2026 7representative citing papers
A regression formulation of the Langevin equation enables resilience estimation for non-stationary time series data with robustness to gaps and irregular sampling.
FireDataForge automates retrieval and harmonization of 11 multi-source wildfire geospatial datasets into common-grid NumPy arrays for a given MTBS Event ID.
The paper establishes a reproducible retrospective benchmark for ranking daily active-fire detections in Cerrado conservation units by comparing atmospheric, surface, static spatial, and short-term memory covariates with standard ML models under time-series cross-validation and held-out AOI tests.
Deep CNNs with spatial continuity preservation and a new weighted loss function outperform Random Forest in cross-regional transfer for satellite-derived bathymetry, achieving low RMSE on independent tests and a public benchmark.
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.
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A Retrospective Benchmark of Spatiotemporal Covariates for Daily Active-Fire Detection in Cerrado Conservation Units
The paper establishes a reproducible retrospective benchmark for ranking daily active-fire detections in Cerrado conservation units by comparing atmospheric, surface, static spatial, and short-term memory covariates with standard ML models under time-series cross-validation and held-out AOI tests.