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 technology plays an indispensable role in the monitoring of grassland
biodiversity, with developments towards a space–sky–ground integrated monitoring …

Monitoring and assessing wetland diversity is crucial for its accurate preservation.
Hyperspectral satellites have been proven effective for detailed investigations of plant …

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 …

For rapid estimation of soybean chlorophyll by hyperspectral technology, 76 soybean
varieties were investigated by simulation of Landsat-8 satellite bands through spectral …

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

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 …

Plant species diversity is key to ecosystem functioning, but in recent decades anthropogenic
activities have prompted an alarming decline in this community trait. Thus, developing …

Tracking biodiversity across biomes over space and time has emerged as an imperative in
unified global efforts to manage our living planet for a sustainable future for humanity. We …

The term “invasive noxious weed species”(INWS), which refers to noxious weed plants that
invade native alpine grasslands, has increasingly become an ecological and economic …