Monitor Damage from Forest Fires

using geospatial data analytics

The Business Challenge

For those who live and work in forest areas, forest fires can be disastrous. Homes, businesses and local communities can be destroyed, and the economic implications are often significant. Furthermore, changes to the climate and increases in population means that the frequency and size of fires is expected to rise over time.

Knowledge of previous fires (for example where, when and how intensely it has burned) plays an important role in determining where and when they are likely to return and the likely severity. This enables managers to evaluate the risks and calculate value of salvageable timber. In addition, this information can also support elements of forest design, such as choosing the appropriate resilient species in areas at risk, as well as for insurance.

Assess severity of fire

After the event, establish which areas are salvageable.

Date fire damage

Accurately date damage and its progress over time.

Effects of fire damage

Assess the count, volume & value of affected trees.

Locate forest fires

Map the location and extent of fire damage.

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Powerful Insight

Our unique geospatial intelligence, which can be used to monitor for signs of forest fires and fire damage, is derived from the sophisticated analysis of earth observation data and imagery involving cutting-edge data science and machine learning.

You can access our insight through a subscription to our online geodata portal. Data layers can also be exported to your own GIS (Geographic Information System).

Our Forest Fire Damage Monitoring Service

Rezatec provides a landscape intelligence data service to supply users with regular information and alerts triggered by identified historic fire events. The service identifies and monitors fires from satellites using spectral data, generating a burn severity index, from which peer-reviewed thresholds are assigned.

This in turn allows users to locate and understand the extent of the Fire Damage to support management decisions. These results can be integrated into existing GIS systems or delivered through our dedicated, cloud-based geospatial data intelligence portal.

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