Background Vegetation spectral reflectance obtained with hyperspectral imaging (HSI) offer
non-invasive means for the non-destructive study of their physiological status. The light …

Vegetation biophysical-and chemical traits, defined on the basis of leaf area, can be
retrieved from their spectral reflectance. Ultra high resolution hyperspectral images, such as …

Near-earth hyperspectral big data present both huge opportunities and challenges for
spurring developments in agriculture and high-throughput plant phenotyping and breeding …

Cover cropping between cash crop growing seasons is a multifunctional conservation
practice. Timely and accurate monitoring of cover crop traits, notably aboveground biomass …

Disentangling the individual contributions from vegetation and soil in measured canopy
reflectance is a grand challenge to the remote sensing and ecophysiology communities …

Atmospheric correction of airborne hyperspectral imaging spectroscopy (AHIS) to obtain
high-quality surface reflectance is the prerequisite for remote sensing applications. Over the …

Proper calibration of airborne hyperspectral imagery is essential for maximizing the
quantitative utility of remotely-sensed imagery, especially when distinguishing subtle …

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 …

Atmospheric correction is an essential step in hyperspectral imaging and target detection
from spectrometer remote sensing data. State-of-the-art atmospheric correction approaches …

Abstract The FLuorescence EXplorer (FLEX) satellite mission, selected as ESA's 8th Earth
Explorer, has been designed for the measurement of sun-induced fluorescence (F) spectra …