Wildfire plays an important role in ecosystem dynamics, land management, and global
processes. Understanding the dynamics associated with wildfire, such as risks, spatial …

Forested environments are subject to large and high intensity unplanned fire events, owing
to, among other factors, the high quantity and complex structure of fuel in these …

The composite nature of remotely sensed spectral information often masks diagnostic
spectral features and hampers the detailed identification and mapping of targeted …

Plant trait data have been used in various studies related to ecosystem functioning,
community ecology, and assessment of ecosystem services. Evidences are that plant …

Multi-temporal change detection is commonly used in the detection of changes to
ecosystems. Differencing single band indices derived from multispectral pre-and post-fire …

Quantitative estimation of fractional cover of photosynthetic vegetation (fPV), non-
photosynthetic vegetation (fNPV) and bare soil (fBS) is critical for natural resource …

Fire is a widespread Earth system process with important carbon and climate feedbacks.
Multispectral remote sensing has enabled mapping of global spatiotemporal patterns of fire …

The science of spectroscopy has existed for more than three centuries, and imaging
spectroscopy for the Earth system for three decades. We first discuss the historical …

Understanding fire is essential to improving forest management strategies. More specifically,
an accurate knowledge of the spatial distribution of fuels is critical when analyzing …

Forest fire management practices are highly dependent on the proper monitoring of the
spatial distribution of the natural and man-made fuel complexes at landscape level. Spatial …