Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …

This review focuses on recent research into the environmental and physiological controls on
the utilization of transient light under the following headings: light dynamics in canopies …

Analyses of various biophysical and biochemical factors affecting plant canopy reflectance
have been carried out over the past few decades, yet the relative importance of these factors …

Long-term global data sets of vegetation Leaf Area Index (LAI) and Fraction of
Photosynthetically Active Radiation absorbed by vegetation (FPAR) are critical to monitoring …

Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists,
and land managers for the study of Earth's agricultural and natural vegetation, and can be …

A synergistic algorithm for producing global leaf area index and fraction of absorbed
photosynthetically active radiation fields from canopy reflectance data measured by MODIS …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …

For two decades, remotely sensed data from imaging spectrometers have been used to
estimate non-pigment biochemical constituents of vegetation, including water, nitrogen …

Spatial and temporal information on plant functional traits are lacking in ecology, which limits
our understanding of how plant communities and ecosystems are changing. This problem is …