Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …

Increasing urbanisation combined with population growth places greater demands on
dwindling water supplies. This is especially the case in arid and semi-arid areas like …

Remote sensing can provide a fast and reliable alternative for traditional in situ water status
measurement in vineyards. Several vegetation indices (VIs) derived from aerial multispectral …

Leaf area index (LAI) and plant area index (PAI) are common and important biophysical
parameters used to estimate agronomical variables such as canopy growth, light …

Understanding the dynamics of leaf area index (LAI) at ecosystem scale is critical for
evaluating and modeling the response of vegetation to environmental variability and …

Thermal imaging of crop canopies has been proposed more than a decade ago as a
sensitive methodology to determine the water status of different crops. This paper describes …

Phenotypic information is of great significance for irrigation management, disease
prevention and yield improvement. Interest in the evaluation of phenotypes has grown with …

Rapid, reliable and meaningful estimates of forest canopy are essential to the
characterization of forest ecosystems. In this paper the accuracy of digital hemispherical …

Leaf area index (LAI) of the soybean canopy was an important indicator to reflect the growth
and development of the soybean plant. However, the traditional LAI measurement in the …

The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient
concentrations in vineyards and assists in precise management, including fertilization …