The aim of Cross-Forest is to combine Forest Inventory Datasets, Forestry maps and observational Big Data such as SENTINEL or LiDAR and to create and integrate models supporting forest management and forest protection.
Fires propagation and their effects together with fire suppression technics will be addressed at a first scenario. By doing this, Cross-Forest will provide high quality information on severity prediction, possible evolution and useful recommendation on post-events measures, e.g. soil recovery procedures.
The end users will be Public Administrations, Policy Makers and Emergency Professionals, while public interfaces and data viewers will be also provided to the general public.