Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques
Identifieur interne : 000B46 ( Main/Merge ); précédent : 000B45; suivant : 000B47Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques
Auteurs : M. Vohland [Allemagne] ; C. Emmerling [Allemagne]Source :
- European journal of soil science [ 1351-0754 ] ; 2011.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
The calibration of soil organic C (SOC) and hot water-extractable C (HWE-C) from visible and near-infrared soil reflectance spectra is hindered by the complex spectral interaction of soil chromophores that usually varies from one soil or soil type to another. The exploitation of spectral variables from spectroradiometer data is further affected by multicollinearity and noise. In this study, a set of soil samples (Fluvisols, Podzols, Cambisols and Chernozems; n = 48) representing a wide range of properties was analysed. Spectral readings with a fibre-optics visible to near-infrared instrument were used to estimate SOC and HWE-C contents by partial least squares regression (PLS). In addition to full-spectrum PLS, spectral feature selection techniques were applied with PLS (uninformative variable elimination, UVE-PLS, and a genetic algorithm, GA-PLS). On the basis of normalized spectra (mean centring + vector normalization), the order of prediction accuracy was GA-PLS » UVE-PLS > PLS for SOC; for HWE-C, it was GA-PLS > UVE-PLS, PLS. With GA-PLS, acceptable cross-validated (cv) prediction accuracies were obtained for the complete dataset (SOC, R2cv = 0.83, RPDcv = 2.42; HWE-Ccv, R2cv = 0.78, RPDcv = 2.13). Splitting the soil data into two groups with different basic properties (Podzols compared with Fluvisols/Cambisols; n = 21 and n = 23, respectively) improved SOC predictions with GA-PLS distinctly (Podzols, R2cv = 0.89, RPDcv = 3.14; Fluvisols/Cambisols, R2cv = 0.92, RPDcv = 3.64). This demonstrates the importance of using stratified models for successful quantitative approaches after an initial rough screening. GA selection frequencies suggest that the spectral region over 1900 nm, and in particular the hydroxyl band at 2200 nm are of great importance for the spectral prediction of both SOC and HWE-C.
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000404
- to stream PascalFrancis, to step Curation: 000944
- to stream PascalFrancis, to step Checkpoint: 000313
Links to Exploration step
Pascal:11-0335983Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques</title><author><name sortKey="Vohland, M" sort="Vohland, M" uniqKey="Vohland M" first="M." last="Vohland">M. Vohland</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Faculty of Geography and Geosciences, Remote Sensing Department, University of Trier</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>1 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName><orgName type="university">Université de Trèves</orgName></affiliation></author><author><name sortKey="Emmerling, C" sort="Emmerling, C" uniqKey="Emmerling C" first="C." last="Emmerling">C. Emmerling</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Faculty of Geography and Geosciences, Soil Science Department, University of Trier</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>2 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName><orgName type="university">Université de Trèves</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">11-0335983</idno><date when="2011">2011</date><idno type="stanalyst">PASCAL 11-0335983 INIST</idno><idno type="RBID">Pascal:11-0335983</idno><idno type="wicri:Area/PascalFrancis/Corpus">000404</idno><idno type="wicri:Area/PascalFrancis/Curation">000944</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000313</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000313</idno><idno type="wicri:doubleKey">1351-0754:2011:Vohland M:determination:of:total</idno><idno type="wicri:Area/Main/Merge">000B46</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques</title><author><name sortKey="Vohland, M" sort="Vohland, M" uniqKey="Vohland M" first="M." last="Vohland">M. Vohland</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Faculty of Geography and Geosciences, Remote Sensing Department, University of Trier</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>1 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName><orgName type="university">Université de Trèves</orgName></affiliation></author><author><name sortKey="Emmerling, C" sort="Emmerling, C" uniqKey="Emmerling C" first="C." last="Emmerling">C. Emmerling</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Faculty of Geography and Geosciences, Soil Science Department, University of Trier</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>2 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName><orgName type="university">Université de Trèves</orgName></affiliation></author></analytic><series><title level="j" type="main">European journal of soil science</title><title level="j" type="abbreviated">Eur. j. soil sci.</title><idno type="ISSN">1351-0754</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">European journal of soil science</title><title level="j" type="abbreviated">Eur. j. soil sci.</title><idno type="ISSN">1351-0754</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Determination</term><term>Earth science</term><term>Extraction process</term><term>Feature selection</term><term>Hot water</term><term>PLS regression</term><term>Reflectance</term><term>Reflection spectrometry</term><term>Soil science</term><term>near infrared radiation</term><term>near infrared spectroscopy</term><term>organic carbon</term><term>soils</term><term>techniques</term><term>visible spectroscopy</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Détermination</term><term>Eau chaude</term><term>Procédé extraction</term><term>Spectrométrie visible</term><term>Spectrométrie IR proche</term><term>Spectrométrie réflexion</term><term>Facteur réflexion</term><term>Rayonnement IR proche</term><term>Régression PLS</term><term>Carbone organique</term><term>Sol</term><term>Technique</term><term>Science terre</term><term>Science du sol</term><term>Sélection forme</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The calibration of soil organic C (SOC) and hot water-extractable C (HWE-C) from visible and near-infrared soil reflectance spectra is hindered by the complex spectral interaction of soil chromophores that usually varies from one soil or soil type to another. The exploitation of spectral variables from spectroradiometer data is further affected by multicollinearity and noise. In this study, a set of soil samples (Fluvisols, Podzols, Cambisols and Chernozems; n = 48) representing a wide range of properties was analysed. Spectral readings with a fibre-optics visible to near-infrared instrument were used to estimate SOC and HWE-C contents by partial least squares regression (PLS). In addition to full-spectrum PLS, spectral feature selection techniques were applied with PLS (uninformative variable elimination, UVE-PLS, and a genetic algorithm, GA-PLS). On the basis of normalized spectra (mean centring + vector normalization), the order of prediction accuracy was GA-PLS » UVE-PLS > PLS for SOC; for HWE-C, it was GA-PLS > UVE-PLS, PLS. With GA-PLS, acceptable cross-validated (cv) prediction accuracies were obtained for the complete dataset (SOC, R<sup>2</sup><sub>cv </sub>= 0.83, RPD<sub>cv</sub> = 2.42; HWE-C<sub>cv</sub>, R<sup>2</sup><sub>cv</sub> = 0.78, RPD<sub>cv</sub> = 2.13). Splitting the soil data into two groups with different basic properties (Podzols compared with Fluvisols/Cambisols; n = 21 and n = 23, respectively) improved SOC predictions with GA-PLS distinctly (Podzols, R<sup>2</sup><sub>cv</sub> = 0.89, RPD<sub>cv</sub> = 3.14; Fluvisols/Cambisols, R<sup>2</sup><sub>cv</sub> = 0.92, RPD<sub>cv</sub> = 3.64). This demonstrates the importance of using stratified models for successful quantitative approaches after an initial rough screening. GA selection frequencies suggest that the spectral region over 1900 nm, and in particular the hydroxyl band at 2200 nm are of great importance for the spectral prediction of both SOC and HWE-C.</div></front></TEI><affiliations><list><country><li>Allemagne</li></country><region><li>Rhénanie-Palatinat</li></region><settlement><li>Trèves (Allemagne)</li></settlement><orgName><li>Université de Trèves</li></orgName></list><tree><country name="Allemagne"><region name="Rhénanie-Palatinat"><name sortKey="Vohland, M" sort="Vohland, M" uniqKey="Vohland M" first="M." last="Vohland">M. Vohland</name></region><name sortKey="Emmerling, C" sort="Emmerling, C" uniqKey="Emmerling C" first="C." last="Emmerling">C. Emmerling</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B46 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 000B46 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Rhénanie
|area= UnivTrevesV1
|flux= Main
|étape= Merge
|type= RBID
|clé= Pascal:11-0335983
|texte= Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques
}}
| This area was generated with Dilib version V0.6.31. |  |