Towards a SOLAP Based Decision Support System for Forest Fire Management

Risk, suppression, and damage assessment are essential parts of forest fire management. The involved data is distributed and heterogeneous, concerning meteorology, topomorphology, and socio-economy. In addition, it has a multiscale spatiotemporal analysis aspect. These reinforce the need to use the appropriate methods and technologies to enhance decision-making. This research investigates the potential of adopting spatial data warehousing techniques to build a SOLAP-based DSS that supports the whole decisional chain. (i) source collection and integration; (ii) data repository design and population; (iii) SOLAP analytics; and finally, (iv) data visualization in numerous formats, including tabular, graphic, and dynamic maps.