| Company | Iridicium Cloud |
| Country | Australia |
| Website | https://www.indicium.cloud/indicium-projects-23/project-forest-foresight |
| Category | Protection & compliance › Wildfire |
Project to incorporate network options (LoRaWAN, satellite, cellular) and different sensors (cameras, soil moisture, weather stations, water resource monitoring)
Data fusion for fire detection is a methodology that combines information from multiple sensor types, platforms, and data streams to improve the accuracy, timeliness, and spatial resolution of fire detection and characterisation, overcoming the limitations inherent in any single data source. Individual sensors used in fire monitoring — including satellite-based thermal infrared imagers (such as the VIIRS and MODIS instruments), ground-based camera networks, weather station arrays, lightning detection systems, and UAV-mounted thermal cameras — each have distinct strengths and weaknesses in terms of spatial resolution, temporal revisit frequency, cloud penetration, and sensitivity to small or low-intensity fires. Data fusion techniques integrate these diverse inputs through methods ranging from simple data layer overlays and rule-based alert logic, to probabilistic ensemble models and deep learning architectures such as convolutional neural networks trained on multi-modal input stacks. A typical multi-source fusion system for forest fire detection might combine: high-revisit satellite active fire products (VIIRS 375 m resolution, 12-hourly), continuous ground-based optical camera panoramas processed with smoke and flame detection algorithms, weather model outputs predicting fire danger conditions, and real-time lightning strike locations as potential ignition triggers — generating a fused fire probability map that is updated continuously and used to prioritise aerial and ground crew dispatch. In Australia, where fire detection infrastructure spans remote, vast landscapes, data fusion approaches have been developed and operationalised by agencies including the New South Wales Rural Fire Service (through the Fire Danger Rating System and Integrated Fire Management systems), the Australian Bureau of Meteorology, and research programs at institutions such as the University of Tasmania and Bushfire and Natural Hazards CRC. Satellite constellation programmes — including Australia's contribution to international fire monitoring through use of Himawari-8/9 geostationary data, which provides 10-minute full-disk coverage — are particularly important for near-real-time detection over the vast, sparsely monitored interior of the continent, and fusion of geostationary data with polar-orbiting high-resolution imagery and ground-truth sensors represents a leading approach to improving early detection of escaped prescribed burns and wildfires.
A capable system designed to reduce wildfire loss through predictive, multi-sensor monitoring, offering strong risk-reduction but only indirect productivity benefit.
| Field | Value |
|---|---|
| Company | Iridicium Cloud |
| Country | Australia |
| Type | Company |
| FWPA RD&E | 7.4 |