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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Bibliographic Details
Published in:	International journal of remote sensing Vol. 29; no. 8; pp. 2241 - 2255
Main Authors:	Cho, M. A., Skidmore, A. K., Atzberger, C.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 01.04.2008 Taylor and Francis
Subjects:	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
Online Access:	Get full text
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