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 …

Numerous technologies have contributed to the recent development of agriculture,
especially the advancement in hyperspectral remote sensing (HRS) constituted a revolution …

Imaging spectroscopy is emerging as a leading remote sensing method for quantifying plant
biodiversity. The spectral variation hypothesis predicts that variation in plant hyperspectral …

Wet grasslands are crucial components of terrestrial ecosystems, known for their biodiversity
and provision of ecosystem services such as flood attenuation and carbon sequestration …

Plant biodiversity is an important feature of grassland ecosystems, as it is related to the
provision of many ecosystem services crucial for the human economy and well-being. Given …

Airborne hyperspectral imaging holds great promise for estimating plant diversity and
composition, given its unprecedented combination of aerial coverage, spatial resolution, and …

Over the last 20 years, there has been a surge of interest in the use of reflectance data
collected using satellites and aerial vehicles to monitor vegetation diversity. One …

Species richness and evenness have been widely used to investigate the spatiotemporal
variation of α-diversity. However, some studies have indicated that a negative relationship …

Spatial predictions of biomass production and biodiversity at regional scale in grasslands
are critical to evaluate the effects of management practices across environmental gradients …

Biodiversity loss remains a global challenge despite international commitment to the United
Nations Convention on Biodiversity. Biodiversity monitoring methods are often limited in …