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)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F14%3A63879" target="_blank" >RIV/60460709:41210/14:63879 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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)

Popis výsledku v původním jazyce

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 poss

Název v anglickém jazyce

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)

Popis výsledku anglicky

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 poss

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DF - Pedologie

OECD FORD obor

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Projekt

<a href="/cs/project/QJ1230319" target="_blank" >QJ1230319: Vodní režim půd na svažitém zemědělsky využívaném území</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Geoderma

ISSN

0016-7061

e-ISSN

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Svazek periodika

232-234

Číslo periodika v rámci svazku

N

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

208-218

Kód UT WoS článku

000340315700022

EID výsledku v databázi Scopus

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