5 papers
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…
Delineate Anything v2: A Global Foundation Model for Field Delineation
Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov +4
Accurate agricultural field boundary delineation at large scale is a foundational task for food security, supply chain transparency, and carbon accounting. While vision foundation…
Delineate Anything Flow: Fast, Country-Level Field Boundary Detection from Any Source
Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov +4
Accurate delineation of agricultural field boundaries from satellite imagery is essential for land management and crop monitoring, yet existing methods often produce incomplete bou…
Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal
Christina Butsko, Kristof Van Tricht, Gabriel Tseng +6
The increasing availability of geospatial foundation models has the potential to transform remote sensing applications such as land cover classification, environmental monitoring,…
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery
Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov +4
The accurate delineation of agricultural field boundaries from satellite imagery is vital for land management and crop monitoring. However, current methods face challenges due to l…