Nitrogen prediction in grasses: effect of bandwidth and plant material state on absorption feature selection

We analysed stability and predictive capabilities of known nitrogen absorption features between plant material prepared for NIRS (dried) and RS (fresh) studies. Grass spectra were taken of the plant canopy, and again after the grass sample was dried and ground. Models were derived using stepwise mul...

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Veröffentlicht in:	International journal of remote sensing Jg. 31; H. 3; S. 691 - 704
Hauptverfasser:	Knox, N. M., Skidmore, A. K., Schlerf, M., de Boer, W. F., van Wieren, S. E., van der Waal, C., Prins, H. H. T., Slotow, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 01.01.2010
Schlagworte:	Animal, plant and microbial ecology Applied geophysics aviris data Biological and medical sciences canopy chemistry Earth sciences Earth, ocean, space Exact sciences and technology forest ecosystems Fundamental and applied biological sciences. Psychology General aspects. Techniques heterogeneous grassland hyperspectral data Internal geophysics leaf biochemistry multiple linear-regression oregon transect reflectance spectroscopy Teledetection and vegetation maps vegetation lai spectra Spectral band Multiple linear regression variability Modeling Biological material Reflection spectrometry Instrument error Gramineae Selection criterion Chemical concentration stability models Linear regression absorption nitrogen Plantae Prediction utilization samples angiosperms materials State Monocotyledoneae Plant origin Spermatophyta near infrared spectroscopy Widening Canopy(vegetation)
ISSN:	0143-1161, 1366-5901
Online-Zugang:	Volltext
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