Savanna fire models rely on seasonal measures of available fine fuels. This study investigates monthly rates of fine fuel decomposition and accumulation in typical eucalypts-dominated savanna woodland in north Australia over an annual cycle. Whereas decomposition is shown to occur most rapidly in the wet season, accumulated fine fuels were greater late in the dry season.

This article belongs to the Collection Savanna Burning.

High-resolution satellite imagery is collected around various communities in Alberta, Canada. Machine learning algorithms are used to detect and classify individual trees from collected imagery in an automated fashion. Use of the algorithm in fuel mapping and community wildfire exposure assessments is explored.