A practical approach for estimating the red edge position of plant leaf reflectance

A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method

“…mixed grass/herb leaves with varying thickness and internal structure) or background material which has been shown to influence NIR reflectance (Horler et al, 1983) may affect the results. Even though (Baranoski & Rokne, 2005) that no single REP extraction method may be considered superior in all cases, the linear extrapolation technique appears to be less sensitive to the effect of leaf stacking or layering.…”

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

“…Therefore, REP related methods are typically used to derive canopy chlorophyll content (CCC) -being the product of LAI and LCC - (Clevers and Kooistra, 2012). Many approaches have been proposed to use this region as a sensitive indicator, including: (1) high-order curve fitting (Baret et al, 1992;Broge and Leblanc, 2001;Clevers et al, 2002); (2) inverted Gaussian models (Miller et al, 1990); (3) linear interpolation and extrapolation (Guyot et al, 1988); (4) Lagrangian interpolation (Dawson and Curran, 1998), and (5) Rational function application (Baranoski and Rokne, 2005). Integration-based indices.…”

Using spectral information from the NIR water absorption features for the retrieval of canopy water content

“…The wavelength position of the transition between the low vegetation reflectance in the red region of the spectrum and the high reflectance in the NIR can be used for estimating leaf chlorophyll content (Baranoski and Rokne, 2005;Horler et al, 1983). This inflection point then can be estimated as the position of the peak of the first derivative of the spectrum.…”