The Advanced Fire Information System (AFIS) is a satellite-based fire information tool that provides near real time fire information to users across the globe.
The range of AFIS services enable users to receive alerts when a fire is detected and to view live and historical fire data.
The AFIS web viewer is an online GIS system that integrates dynamic fire information with baseline localised data sets to help with planning and the analysis of current and historical fire patterns. The next version of the web viewer will also allow users to upload their data layers via WMS.
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The AFIS mobile application has been developed to assist fire managers with fire prediction, detection and historical information based on a current location or any defined area of interest. It also includes weather forecasts and vegetation conditions. The application is available for iOS and Android phones and can be downloaded from the app stores.
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The AFIS alert platform is a state of the art multi-dimensional alert messaging system with a build in GIS capability to allow for the dissemination of various types of alert messages. The alert platform not only allows for basic alerts protocols, The Advance Fire Information System (AFIS) is an integrated ICT solution developed by the CSIR to provide operational near real time information for the prevention, detection, monitoring and assessment of wildfire as a risk on a local, regional and global scale but allow users to receive messages based on rule based algorithms. An example of such an alert is; Send an SMS alert when a fire is detected within a regions of interest but only when the Fire Danger Forecast for that area is above the category “medium danger”.
The AFIS Statistics data portal provides burned area estimates for any administrative boundary or pre-defined area of interest. The statistics are provided in hectares per month for the MODIS merged burned area product (500m) as well as the Landsat 8 burned area product (30m). All statistics are automatically calculated and updated within the data portal.
The Fire Dashboard has been developed for a control centre environment where operators can setup, integrate and visualise various data sources for a specific are of interest. The dashboard consists of widgets that represent various components such as a dynamic table, Fire Danger forecasts and animated satellite imagery.
AFIS provides various fire information products to support stakeholders and assist in fire management.
AFIS utilises a portfolio of GEO (Geostationary Orbit) and LEO (Low Earth Orbit) Earth Observation satellites to detect wildfires globally.
Four day fire danger forecasts for any location based on the Canadian Fire Weather Index or any custom user specified model. Weather Forecast data acquired from ECMWF (European Centre for Medium range Weather Forecasting).
The CSIR has produced a new merged burned area product by fusing the standard MCD45 and MCD64 MODIS products. The Landsat Burned Area product will become available during 2015.
The objective of the AFIS Wildfire Information and Data Relationships Access (WIDR Access) programme is to enhance the CSIR's ability to reach and service end users through strategic relationships.
The CSIR, under its Advanced Fire Information Service (AFIS)
Wildfire Information and Data Relationship Access (WIDR Access) programme,
provides the following data and information services:
• 24/7 near-realtime (NRT) wildfire detection and alerting
using direct broadcast satellite feeds from four satellites:
Terra, Aqua, SNPP and NOAA-20
• Global wildfire data received from NASA, ESA and EUMETSAT
• 5 day fire weather (Fire Weather Index and Lowveld Fire Danger Index)
forecast for predefined points of interest as well as ad-hoc location queries
• Automated post-incident burned area mapping at 30m resolution
• Automated fire spread simulation
These resources enable the CSIR to produce various wildfire
related information of specific quality and scale.
• X-band Direct Broadcast reception antenna
• X-band demodulator
• Direct Broadcast Near-realtime wildfire processing software
and server infrastructure
• Geographical Data distribution system for the WIDR Access programme
• Automated burned area processing algorithms
• Fire spread simulation algorithms using localized fuel models
