Wildland fires dramatically affect forest ecosystems, altering the loss of their biodiversity and
their sustainability. In addition, they have a strong impact on the global carbon balance and …

As remote sensing (RS) data obtained from different sensors become available largely and
openly, multimodal data processing and analysis techniques have been garnering …

Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …

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

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

Wildfires are major natural disasters negatively affecting human safety, natural ecosystems,
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …

The diversity of change detection (CD) methods and the limitations in generalizing these
techniques using different types of remote sensing datasets over various study areas have …

Like many tropical forest nations, Indonesia is challenged by landscape fires. A confident
understanding of the area and distribution of burning is crucial to understanding the …

Due to the natural conditions and inappropriate management responses, large part of plains
and forests in Iran have been burned in recent years. Given the increasing availability of …

Wildfires are one of the most destructive natural disasters that can affect our environment,
with significant effects also on wildlife. Recently, climate change and human activities have …