Spectroscopy at the leaf and canopy scales has attracted considerable interest in plant
ecology over the past decades. Using reflectance spectra, ecologists can infer plant traits …

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 …

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

Plant ecologists use functional traits to describe how plants respond to and influence their
environment. Reflectance spectroscopy can provide rapid, non‐destructive estimates of leaf …

Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is
limited by cost, time, and scale. Remote sensing is a convenient approach providing …

Remote sensing enhances large-scale biodiversity monitoring by overcoming temporal and
spatial limitations of ground-based measurements and allows assessment of multiple plant …

Optical remote sensing permits modeling of variables related to forest biomass, which is a
critical determinant of carbon (C) stocks and fluxes. Plant functional characteristics can be …

Abstract Information on plant species is fundamental to forest ecosystems, in the context of
biodiversity monitoring and forest management. Traditional methods for plant species …

Remotely sensed spectral diversity has emerged as a promising proxy for plant diversity.
However, spectral diversity approaches relate image spectra to plant community diversity by …

Over the last two decades, considerable research has built on remote sensing of spectral
diversity to assess plant diversity. The spectral variation hypothesis (SVH) proposes that …