About: Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS)

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About: Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS) Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS) provides a rapid and inexpensive tool for simultaneous prediction of a variety of different soil properties. Usually, some sophisticated multivariate mathematical or statistical methods are employed in order to extract the required information from the raw spectrum scan. For this purpose especially the partial least squares regression (PLSR) is themost frequently used algorithm.This method generally benefits from complexity, with which the soil spectra are treated. But interestingly, also techniques which focus on only one specific spectral feature, such as simple linear regression dealing with single continuum-removed spectra (CRS) value at selected wavelength, can often provide competitive results too. Such methods rely on known spectral signature of spectrally active soil components. In this study focusing on laboratory soil spectroscopy, we attempted to enhance the potential of CRS by taking into account all possible peak Visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS) provides a rapid and inexpensive tool for simultaneous prediction of a variety of different soil properties. Usually, some sophisticated multivariate mathematical or statistical methods are employed in order to extract the required information from the raw spectrum scan. For this purpose especially the partial least squares regression (PLSR) is themost frequently used algorithm.This method generally benefits from complexity, with which the soil spectra are treated. But interestingly, also techniques which focus on only one specific spectral feature, such as simple linear regression dealing with single continuum-removed spectra (CRS) value at selected wavelength, can often provide competitive results too. Such methods rely on known spectral signature of spectrally active soil components. In this study focusing on laboratory soil spectroscopy, we attempted to enhance the potential of CRS by taking into account all possible peak (en)
Title	Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS) Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS) (en)
skos:prefLabel	Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS) Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS) (en)
skos:notation	RIV/60460709:41210/14:63879!RIV15-MZE-41210___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(QJ1230319)
http://linked.open...iv/cisloPeriodika	N
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Vašát, Radim Gholizadeh, Asa Borůvka, Luboš Klement, Aleš Kodešová, Radka Jakšík, Ondřej
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Česká zemědělská univerzita v Praze / Fakulta agrobiologie, potravinových a přírodních zdrojů
http://linked.open...dnocenehoVysledku	8654
http://linked.open...ai/riv/idVysledku	RIV/60460709:41210/14:63879
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Diffuse reflectance spectroscopy, Continuum-removal, Multiple linear regression, Partial least squares regression (en)
http://linked.open.../riv/klicoveSlovo	Multiple linear regression Partial least squares regression Diffuse reflectance spectroscopy Continuum-removal
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[1FFCEE271160]
http://linked.open...i/riv/nazevZdroje	Geoderma
http://linked.open...in/vavai/riv/obor	DF
http://linked.open...ichTvurcuVysledku	6 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...vavai/riv/projekt	Soil water regime within a sloping agricultural area
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	232-234
http://linked.open...iv/tvurceVysledku	Borůvka, Luboš Kodešová, Radka Klement, Aleš Jakšík, Ondřej Vašát, Radim Gholizadeh, Asa
http://linked.open...ain/vavai/riv/wos	000340315700022
issn	0016-7061
number of pages	11 (xsd:int)
http://localhost/t...ganizacniJednotka	41210

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