Visible and near infrared reflectance specroscopy to determine chemical properties of paddy soils

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F13%3A60465" target="_blank" >RIV/60460709:41210/13:60465 - 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

Visible and near infrared reflectance specroscopy to determine chemical properties of paddy soils

Popis výsledku v původním jazyce

The ability obtaining soil properties estimations from time and cost efficient remotely sensed techniques has been identified as a valuable technique with great demand for larger amounts of good quality soil data to be used in envirenmental monitoring, modelling and precision agriculture. Visible (vis) and Near Infrared (NIR) spectroscopy provides a good alternative that may be used to enhance or replace conventional methods of soil analysis. This study site comprised of 118 plots (142 ha) of paddy fields in the Tanjung Karang Rice Irrigation Scheme, Malaysia.The aim of this paper is to evaluate the abilities of Vis (350-700nm) and NIR (700-2500nm) regions for prediction of seelected soil chemical properties in Malaysian paddy soils. Savitzky-Golay algorithm was implemented as spectral preo-processing and applied Stepwise Multiple Linear Regression (SMLR) to construct calibration models.

Název v anglickém jazyce

Visible and near infrared reflectance specroscopy to determine chemical properties of paddy soils

Popis výsledku anglicky

The ability obtaining soil properties estimations from time and cost efficient remotely sensed techniques has been identified as a valuable technique with great demand for larger amounts of good quality soil data to be used in envirenmental monitoring, modelling and precision agriculture. Visible (vis) and Near Infrared (NIR) spectroscopy provides a good alternative that may be used to enhance or replace conventional methods of soil analysis. This study site comprised of 118 plots (142 ha) of paddy fields in the Tanjung Karang Rice Irrigation Scheme, Malaysia.The aim of this paper is to evaluate the abilities of Vis (350-700nm) and NIR (700-2500nm) regions for prediction of seelected soil chemical properties in Malaysian paddy soils. Savitzky-Golay algorithm was implemented as spectral preo-processing and applied Stepwise Multiple Linear Regression (SMLR) to construct calibration models.

Druh

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

CEP obor

DF - Pedologie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Journal of Food, Agriculture & Environment

ISSN

1459-0255

e-ISSN

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Svazek periodika

11

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

FI - Finská republika

Počet stran výsledku

8

Strana od-do

859-866

Kód UT WoS článku

000322252700001

EID výsledku v databázi Scopus

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