The Fire use case application combines real on-site data acquired from the Wireless Sensor Network (temperature and humidity) with information obtained from Earth Observation Satellites (normalised difference vegetation index and fire risk index).
The aim of the application is to provide a useful tool, for fire prevention and fire risk management, that allows the user to:
Get earth observation products information, both as geo-referenced images and raw data and current as well as historical information.
Configure each node alarm threshold
Check sensor network node status (battery, radio link...)
It's worth mentioning that in-network processing specially developed within the project, allows to configure each node and to disseminate a different image to each node.
From a technological point of view:
The wireless sensor network has been built with TelosB nodes and with TinyOs 1.4, whose source code has been modified within the project.
Earth Observation products are based on historical data obtained from MODIS corresponding to the last 10 years.
Scenario and end users
For the deployment, the SSG4Env consortium chose a forest of pines in the mountain range of Madrid, paying attention to both the forest area itself but also the borderline. Node distance is around 35 meters and the nodes are disseminated all around the forest.
The application is oriented to fire emergency coordinators, fire prevention rangers and, in general, any professional in the fire management field.
The technological and end-user requirements were at a first stage, properly mixed. Later on, several end-users have been engaged to keep track of the evolution of the application. In this way a continuous interaction between the application and the final users is guaranteed, while feedback between both parts provides a common enrichment.
In the near future, the fire use case application will be improved in order to:Combine the existing information with wind measurements obtained from local observatories. This data turns out to be crucial for fire prevention and which cannot be directly plugged to the nodes.
Compare the earth-observed (satellite) and on-land (sensor network) fire risk indexes.
Include topographical data.
Incorporate measurements depending on height of acquisition.
Include hot spots layer, to aggregate all the fire risk indexes information
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