Large-scale information on several vegetation properties ('plant traits') is critical to assess
ecosystem functioning, functional diversity and their role in the Earth system. Hyperspectral …

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

PROSPECT is the most widely used optical leaf model for a wide range of remote sensing
applications on vegetation and has been developed and parameterised based on empirical …

More than ever, ecologists seek to employ herbarium collections to estimate plant functional
traits from the past and across biomes. However, many trait measurements are destructive …

European beech (Fagus sylvatica L.) forests have recently experienced severe diebacks that
are expected to increase in future. Oriental beech (Fagus sylvatica spp. orientalis (Lipsky) …

To understand forest dynamics under today's changing environmental conditions, it is
important to analyze the state of forests at large scales. Forest inventories are not available …

Leaf mass per area (LMA) and equivalent water thickness (EWT) are key indicators
providing information on plant growth status and agricultural management, and their …

This article is an Editorial to the Virtual issue on 'Remote sensing'that includes the following
papers Chavana‐Bryant et al.(2017), Coupel‐Ledru et al.(2022), Cushman & Machado …

Проблема интенсификации деградации пастбищ юга европейской части России,
вызванная неблагоприятными гидротермическими условиями и нерегулируемым …

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