Multi-Source Geo-Information Fusion in Transition: A Summer 2019 Snapshot

Robert Jeansoulin (1, 2)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 LSIS - Laboratoire des Sciences de l'Information et des Systèmes

Since the launch of Landsat-1 in 1972, the scientific domain of geo-information has been incrementally shaped through different periods, due to technology evolutions: in devices (satellites, UAV, IoT), in sensors (optical, radar, LiDAR), in software (GIS, WebGIS, 3D), and in communication (Big Data). Land Cover and Disaster Management remain the main big issues where these technologies are highly required. Data fusion methods and tools have been adapted progressively to new data sources, which are augmenting in volume, variety, and in quick accessibility. This Special Issue gives a snapshot of the current status of that adaptation, as well as looking at what challenges are coming soon.

Mots clés: remote sensing; geomatics; data fusion; data assimilation; big data; land cover; disaster response management

Domaines: Intelligence artificielle [cs.AI]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Base de données [cs.DB]; Web

Robert Jeansoulin. Multi-Source Geo-Information Fusion in Transition: A Summer 2019 Snapshot. ISPRS International Journal of Geo-Information, 2019, 8 (8), pp.330. ⟨10.3390/ijgi8080330⟩. ⟨hal-03374096⟩