Towards red-edge positions less sensitive to canopy biophysical parameters for leaf chlorophyll estimation using properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAILH) simulated data

Several methods for extracting the chlorophyll sensitive red-edge position (REP) from hyperspectral data are reported in literature. This study is a continuation of a recent paper published as 'A new technique for extracting the red edge position from hyperspectral data: the linear extrapolatio...

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Vydané v:	International journal of remote sensing Ročník 29; číslo 8; s. 2241 - 2255
Hlavní autori:	Cho, M. A., Skidmore, A. K., Atzberger, C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 01.04.2008 Taylor and Francis
Predmet:	Agronomy. Soil science and plant productions Applied geophysics area index Biological and medical sciences Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology Generalities. Biometrics, experimentation. Remote sensing green hyperspectral vegetation indexes Internal geophysics nitrogen optical-properties photosynthetic efficiency precision agriculture reflectance data remote estimation Remote sensing Monocotyledones wave scattering Solar zenithal distance radiative transfer measurement sensor Gramineae Angiospermae noise Chemical concentration Rye efficiency Secale cereale Zea mays nitrogen Estimation Plantae chlorophyll remote sensing Plant leaf Biophysics extrapolation angiosperms techniques Monocotyledoneae Hyperspectral characteristic Alternative method Parameter Spermatophyta properties Canopy(vegetation)
ISSN:	0143-1161, 1366-5901
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Shrnutí:	Several methods for extracting the chlorophyll sensitive red-edge position (REP) from hyperspectral data are reported in literature. This study is a continuation of a recent paper published as 'A new technique for extracting the red edge position from hyperspectral data: the linear extrapolation method'. The method was validated experimentally for estimation of foliar nitrogen concentrations of rye, maize and mixed grass/herb. The objective of this study was to test the utility of the linear extrapolation method under different conditions including variable canopy biophysical parameters, solar zenith angle, sensor noise and spectral bandwidth. REPs were extracted from synthetic canopy spectra that were simulated using properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAILH) radiative transfer models. REPs extracted by the linear extrapolation method involving wavebands at 680, 694, 724 and 760 nm produced the highest correlation (R 2 = 0.75) with leaf chlorophyll content with minimal effects of leaf and canopy biophysical confounders (leaf area index, leaf inclination distribution and leaf dry matter content) compared to traditional techniques including the linear interpolation, inverted Gaussian modelling and polynomial fitting techniques. In addition, the new technique is insensitive to changes in solar zenith angle. However, the advantage of using the linear extrapolation method compared to the various alternative methods diminishes with increasing sensor noise and decreasing spectral resolution. In summary, the linear extrapolation technique confirms its high potential for leaf chlorophyll estimation. The efficacy of the technique under field conditions needs to be established.
Bibliografia:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0143-1161 1366-5901
DOI:	10.1080/01431160701395328