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 …

Biodiversity monitoring is an almost inconceivable challenge at the scale of the entire Earth.
The current (and soon to be flown) generation of spaceborne and airborne optical sensors …

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 …

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 …

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 …

Leaf traits are essential for understanding many physiological and ecological processes.
Partial least squares regression (PLSR) models with leaf spectroscopy are widely applied …

The structure and function of riparian ecosystems generally result from feedbacks between
plant dynamics and fluvial processes and landforms, ie, river morphodynamics. Taxonomic …

The development of near-Earth remote sensing platforms, such as unmanned aerial
vehicles (UAV), have provided new opportunities for wetland plant diversity monitoring. Most …

Aim The spectral variability hypothesis (SVH) predicts that spectral diversity, defined as the
variability of radiation reflected from vegetation, increases with biodiversity. While …

Inundations of wetlands play a significant role in wetland ecosystems, but they are
vulnerable to hydrological alterations. In Southeast Asia, many hydro-dams, which …