The monitoring of burned areas can easily be performed using satellite multispectral
images: several indices are available in the literature for highlighting the differences …

For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …

Sentinel‐2 imagery can identify forest and land fires in underground parts, surface fires, and
crown fires. The dNBR and RBR spectral indices on Sentinel‐2 images proved accurate in …

Bushfires pose a severe risk, among others, to humans, wildlife, and infrastructures. Rapid
detection of fires is crucial for fire-extinguishing activities and rescue missions. Besides …

Hyperspectral remote sensing reveals detailed information about the optical response of a
scene. Self-Organizing Maps (SOMs) can partition a hyperspectral dataset into clusters, both …

The impacts of fires on society and the environment are wide-ranging, and examining such
fire incidents is of critical importance to communities, governments, and scientists. Satellite …

The first national database of burned areas in Italy at 20 m spatial resolution is presented. It
was generated in near real-time by processing, as soon as they were available, all the …

Forest fires pose a significant threat worldwide, with Algeria being no exception. In 2020
alone, Algeria witnessed devastating forest fires, affecting over 16,000 hectares of land, a …

The spatial extent of the Sahara (the largest nonpolar desert) has significant impacts on the
livelihood of people residing in its surrounding areas. Despite the fact that climate change …

The existing methods for burned area segmentation (BAS) in optical remote sensing images
(ORSIs) mainly adopt convolution neural network (CNN) as the backbone, which has limited …