about
A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization.Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize.Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery.High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimesChlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest declinePrevisual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
P50
description
researcher
@en
wetenschapper
@nl
name
A Hornero
@en
A Hornero
@nl
type
label
A Hornero
@en
A Hornero
@nl
prefLabel
A Hornero
@en
A Hornero
@nl
P31
P496
0000-0002-8434-2168