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Extreme Climate

Fire prediction and assesment


Challenge Background

Bush fires are one the most significant factors affecting ecosystems in Sahelian countries, such as Senegal. Every year, they cause inestimable damage to natural resources: degradation of the quality of wood, loss of thousands of tons of pasture, destruction of food reserves and natural regeneration, decline in plant and animal biodiversity, etc. (DEFCCS, 2013). They also affect soil fertility, leading to a drop in agricultural productivity. Bush fires also cause enormous losses in the rural economy by disruptions to human settlements (houses), loss of crops, orchards, food, furniture, clothing, livestock, etc. Anthropogenic causes are the most common fire generators in our country. Early detection is important to manage bushfires before they cause widespread devastation. However, the Centre de Suivi Ecologique has been setting since 1990 a fire monitoring system based on remote sensing data (using NOAA-AVHRR in the beginning and nowadays Moderate Resolution Imaging Spectroradiometer (MODIS) and/or Visible Infrared Imaging Radiometer Suite (VIIRS) with 1 km and 375m of spatial resolution, respectively). The CSE monitoring system uses these data to detect and monitor the fire occurrence. This information is sent through a weekly Newsletter via email to technicians, decision-makers, NGOs, local population as well and all actors interested in the incidence in bushfires in Senegal.

What we are looking for

Technologies which can be incorporated into our GIS system, that allow fire risk assessment and mapping. These should include early fire detection, behavior prediction, real-time data collection and dissemination to relevant stakeholders through phone and e-mail.

Solution criteria

A software that can be incorporated into existing GIS system

What we offer

sponsored pilot

The Ecological Monitoring Center

The Ecological Monitoring Center

The Ecological Monitoring Center is a structure of excellence specialized in environmental monitoring and the sustainable management of natural resources based on relevant and reliable spatial information.
As such, it provides useful information for decision-making, particularly in the management of natural disasters, such as floods, and early warning through the monitoring of vegetation and bush fires. This performance of the CSE is due to the use of latest generation technologies.



Offer your solution



Offer your solution
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