Remote sensing, the science of obtaining information via noncontact recording, has swept
the fields of ecology, biodiversity and conservation (EBC). Several quality review papers …

The conventional plant breeding evaluation of large sets of plant phenotypes with precision
and speed is very challenging. Thus, consistent, automated, multifaceted, and high …

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 …

ESA's upcoming satellite Sentinel-2 will provide Earth images of high spatial, spectral and
temporal resolution and aims to ensure continuity for Landsat and SPOT observations. In …

Leaf area index (LAI) is a key biophysical parameter for the monitoring of agroecosystems.
Conventional two-band vegetation indices based on red and near-infrared relationships …

View angle effects present in spectral vegetation indices can either be regarded as an
added source of uncertainty for variable retrieval or as a source of additional information …

Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …

Organic farmers, who rely on legumes as an external nitrogen (N) source, need a fast and
easy on-the-go measurement technique to determine harvestable biomass and the amount …

Precision viticulture aims at managing vineyards at a sub-field scale according to the real
needs of each part of the field. The current study focused on delineating management zones …

The random function theory forms the basis of geostatistics and allows modelling of the
uncertainty associated with spatial estimation and simulation. Remote sensing involves …