The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …

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 …

Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …

Satellite image data deliver consistent and frequent information for crop yield estimation
over large areas. Hyperspectral narrowbands are more sensitive spectrally to changes in …

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 …

Plant functional traits have been extensively used to describe, rank and discriminate species
according to their variability between species in classical plant taxonomy. However, the …

Abstract Fuel Moisture Content (FMC) is one of the primary drivers affecting fuel flammability
that lead to fires. Satellite observations well-grounded with field data over the highly …

Functional diversity (FD) provides a link between biodiversity and ecosystem functioning,
summarizing inter-and intra-specific variation of functional traits. However, quantifying plant …

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …