Report on the 2025 IEEE GRSS Data Fusion Contest: All-Weather Land Cover and Building Damage Mapping [Technical Committees]

Over the past two decades, the annual Data Fusion Contest (DFC) has emerged as a platform that invites researchers worldwide to advance data fusion and image analysis methodologies. The contest focuses on the challenges of handling large-scale, multisensor, multimodal, and multitemporal data, fostering innovation in remote sensing research. The past editions have introduced novel and demanding problem settings, thereby creating benchmarks that have shaped progress in the field. The contest has been hosted annually since 2006 by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS)[1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11],[12],[13],[14],[15],[16],[17],[18],[19],[20],[21]. This year’s contest focus was all-weather land cover and building damage mapping.