National fuel type mapping methodology using geographic object based image analysis and landsat 8 oli imagery.

Abstract

A key issue in modern fire management planning is the accurate fuel type mapping, required at many different spatial and temporal scales. Fuel type classification is critical for improving fire prevention schemes, developing accurate fire dispersion models and designing effective measures for mitigating the impacts of a potential wildfire event on the ecosystem. Remote sensing offers the potential to provide spatially distributed information on fuel types and it has been widely used both at regional and local scale. The aim of this study is to develop and evaluate a fuel type mapping methodology on a national level, based on the geographic objectoriented classification approach and Landsat-8 OLI imagery.