Realtime Bushfire Detection with Spatial-based Complex Event Processing

Bushfire is the primary destructive force that may cause damage to a large region, a country, or even the Earth. However, as bushfires spread too fast, they are often identified when they cannot control and cause significant damage. The reason is that existing works on remote sensing focus on low-level information processing, and thus, face the challenge of processing a massive amount of data in real-time. In this work, we employ complex event processing (CEP) to extract higher-level information to facilitate real-time bushfire detection. In particular, we propose a "spatial extension" to the ready-powerful CEP techniques to enable bushfire monitoring from the combinations of multiple spatial events. We further demonstrate the proposed spatial-based CEP on a real-time bushfire detection problem. Experimental results illustrate that our approach scales well while achieving the competitive detection performance.