A fully automated processing chain for near real-time mapping of burned forest areas using
Sentinel-2 multispectral data is presented. The acronym AUTOBAM (AUTOmatic Burned …

Forest fires cause aerosol emissions and biomass burning that pose major threats to the
ozone layer. The precise estimation of burned area with the degree of burn severity plays a …

Annually, millions of hectares of forest lands around the world are destroyed by fires. To
minimize the fire-caused losses, more studies on the risk prediction of forest fires need to be …

This study employs freely available satellite data from the Google Earth Engine (GEE) cloud
platform and geospatial analysis techniques to assess vegetation recovery dynamics in a …

Fire severity, which quantifies the degree of organic matter consumption, is an important
component of the fire regime. High-severity fires have major ecological implications …

In recent years, global forest fires have occurred more frequently, seriously destroying the
structural functions of forest ecosystem. Mapping the burn severity after forest fires is of great …

Forest fires have a significant impact on terrestrial ecosystems, leading to harm to
biodiversity and environment. To mitigate the ecological damage caused by forest fires, it …

Identification of forest burn severity is essential for fire assessments and a necessary
procedure in modern forest management. Due to the low efficiency and labor intensity of the …

Mapping and monitoring initial burn severity is a critical aspect of forest management and
landscape restoration. Recently, supervised learning has achieved great success in …

In recent years, forest fires occur frequently around the world, which severely damage the
structure and function of the forest ecosystem. The initial assessment of burn severity could …