D. Gillon et al., Using near-infrared reflectance spectroscopy to predict carbon, nitrogen and phosphorus content in heterogeneous plant material, OECOLOGIA, 118(2), 1999, pp. 173-182
The aim of this study was to produce calibration equations between near-inf
rared reflectance (NIR) spectra and the concentrations of carbon, nitrogen,
and phosphorus in heterogeneous material: from living needles to litter in
Pinus halepensis stands subjected to prescribed burnings. The aim was to d
etermine whether calibrations should be conducted within each stage in the
transformation of needles (local calibrations), giving relationships that w
ere accurate but valid only for each particular stage, or whether it was po
ssible to integrate the various forms of variation in needles (global calib
rations) while retaining an acceptable accuracy. A principal component anal
ysis calculated from the sample spectral data was used to distinguish three
different sets, each sharing spectral characteristics and corresponding to
three categories of needle: needles collected on the pines (N), falling ne
edles (F), and litter (L), and each containing samples collected from the b
urnt sites and a control site. Samples representative of all the forms of v
ariation in spectral properties were selected from within each category and
their carbon, nitrogen, and phosphorus concentrations were measured using
standard wet chemistry methods; these constituted the calibration sets n, f
, and l. Calibrations were produced between the nutrient concentrations and
the NIR spectra of the calibration sets n, f, and 1 and the grouped sets (
n + f, f + 1, n + f + 1). The results of local calibrations made from each
individual category showed that the carbon, nitrogen, and phosphorus concen
trations were accurately predictable by NIR spectra. The global calibration
s made by lumping together several categories were valid for a wider range
of concentrations and for spectrally heterogeneous materials and in most ca
ses were just as accurate as the local calibrations produced from each indi
vidual category.