About: Uncertainty propagation in VNIR reflectance spectroscopy soil organic carbon mapping

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Visible and near infrared (VNIR) diffuse reflectance spectroscopy (DRS) offers high potential as a fast and accurate proximal soil sensing technique for soil carbon estimation. The objective of this study is to evaluate the use of VNIR soil spectroscopy for mapping soil organic carbon (SOC) spatial distribution on a 100 ha arable field strongly affected by erosion. The analysis was performed in two main steps: firstly, we focused on the uncertainty in the VNIR spectroscopy regression model (PLSR) under varying number and locations of training samples from which an optimal number of input samples were selected; secondly, we analysed uncertainty propagation in the coupled PLSR and spatial prediction for the selected optimal number of training samples. The PLSR quality parameters are changing exponentially with increasing number of input training samples. The PLSR model constructed using only 37 samples provided a good predictive capability with R2 over 0.7 and RPD over 1.5. The uncertainty of Visible and near infrared (VNIR) diffuse reflectance spectroscopy (DRS) offers high potential as a fast and accurate proximal soil sensing technique for soil carbon estimation. The objective of this study is to evaluate the use of VNIR soil spectroscopy for mapping soil organic carbon (SOC) spatial distribution on a 100 ha arable field strongly affected by erosion. The analysis was performed in two main steps: firstly, we focused on the uncertainty in the VNIR spectroscopy regression model (PLSR) under varying number and locations of training samples from which an optimal number of input samples were selected; secondly, we analysed uncertainty propagation in the coupled PLSR and spatial prediction for the selected optimal number of training samples. The PLSR quality parameters are changing exponentially with increasing number of input training samples. The PLSR model constructed using only 37 samples provided a good predictive capability with R2 over 0.7 and RPD over 1.5. The uncertainty of (en)
Title	Uncertainty propagation in VNIR reflectance spectroscopy soil organic carbon mapping Uncertainty propagation in VNIR reflectance spectroscopy soil organic carbon mapping (en)
skos:prefLabel	Uncertainty propagation in VNIR reflectance spectroscopy soil organic carbon mapping Uncertainty propagation in VNIR reflectance spectroscopy soil organic carbon mapping (en)
skos:notation	RIV/60460709:41210/13:60047!RIV14-MSM-41210___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA526/08/0434), P(GA526/09/1762), Z(MSM6046070901)
http://linked.open...iv/cisloPeriodika	SI
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Vašát, Radim Klement, Aleš Brodský, Lukáš Jakšík, Ondřej Zádorová, Tereza
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	112556
http://linked.open...ai/riv/idVysledku	RIV/60460709:41210/13:60047
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Soil organic carbon, VNIR spectroscopy, Partial least squares regression, Digital soil mapping, Uncertainty (en)
http://linked.open.../riv/klicoveSlovo	VNIR spectroscopy Uncertainty Soil organic carbon Digital soil mapping Partial least squares regression
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[9482BB69C0A8]
http://linked.open...i/riv/nazevZdroje	Geoderma
http://linked.open...in/vavai/riv/obor	DF
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Impact of soil structure on character of water flow and solute transport in soil environment Correlation of soil spectral features with soil characteristics and their exploitation in digital soil mapping
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	199
http://linked.open...iv/tvurceVysledku	Brodský, Lukáš Klement, Aleš Jakšík, Ondřej Zádorová, Tereza Vašát, Radim
http://linked.open...ain/vavai/riv/wos	000317882900008
http://linked.open...n/vavai/riv/zamer	Setrvalé zemědělství, kvalita zemědělské produkce, krajinné a přírodní zdroje.
issn	0016-7061
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	41210

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