2 papers
cs.CV2026
Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality
Syed Roshaan Ali Shah, Kasper Bonte, David Bekaert +2
Machine learning, and deep networks in particular, are increasingly used to derive higher-level Earth observation (EO) products such as annual land-cover and crop-type maps. Many a…
cs.CV2026
Embeddings based Anomaly Detection for Cleaning Global Crop Type Reference Datasets
Syed Roshaan Ali Shah, Kristof Van Tricht, Christina Butsko +2
High quality reference data remain a critical bottleneck for crop-type mapping at any spatial and temporal scale. Operational systems such as WorldCereal aggregate labels from hete…