Conceptually, plant functional types represent a classification scheme between species and
broad vegetation types. Historically, these were based on physiological, structural and/or …

Environmental heterogeneity is considered to be one of the main factors associated with
biodiversity given that areas with highly heterogeneous environments can host more …

Biodiversity is essential to healthy ecosystem function, influencing productivity and
resilience to disturbance. Biodiversity loss endangers essential ecosystem services and …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists,
and land managers for the study of Earth's agricultural and natural vegetation, and can be …

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 …

This book provides a thorough introduction to the use of remotely sensed data for wetland
classification and mapping, as well as information on the latest technological advancements …

Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …

Remote sensing has been used to detect plant biodiversity in a range of ecosystems based
on the varying spectral properties of different species or functional groups. However, the …

Increasing evidence suggests that remotely sensed spectral diversity is linked to plant
species richness. However, a conflicting spectral diversity–biodiversity relationship in …