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

Precision agriculture dates back to the middle of the 1980's. Remote sensing applications in
precision agriculture began with sensors for soil organic matter, and have quickly diversified …

Climate change has introduced significant challenges that can affect multiple sectors,
including the agricultural one. In particular, according to the Food and Agriculture …

Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …

Detailed knowledge about tree species composition is of great importance for forest
management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites …

The red edge position (REP) in the vegetation spectral reflectance is a surrogate measure of
vegetation chlorophyll content, and hence can be used to monitor the health and function of …

Leaf chlorophyll is central to the exchange of carbon, water and energy between the
biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper …

Spectral vegetation indices (SVIs) have been shown to be useful for an indirect detection of
plant diseases. However, these indices have not been evaluated to detect or to differentiate …

Mapping tree species within urban areas is essential for sustainable urban planning as well
as to improve our understanding of the role of urban vegetation as an ecological service …

Parameter optimization is an important step for support vector regression (SVR), since its
prediction performance greatly depends on values of the related parameters. To solve the …