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DatoValore
TitleAssessment of Soil Quality Indicators in Degraded Areas of Southern Italy using Vis-NIR Spectroscopy
AbstractRapid, precise and quantitative assessment of soil quality is crucial for sustainable evaluation and monitoring of the effects of management on soil resource under agricultural systems and for the characterization and monitoring of land degradation processes. Over the past three decades, Visible (VIS) and near-infrared (NIR) spectroscopy have been shown to be an effective alternative to conventional laboratory analysis, and can provide time and cost effective approaches for the prediction of several soil properties related to soil quality indicators. For this study, VIS-NIR spectroscopic and chemometric analysis were employed for the assessment of soil quality indicators in three degraded areas (two survey sites depleted in organic carbon and one polluted by organic and inorganic compounds) located in Southern Italy (Apulia Region). The soil reflectance properties in the wavelengths range between 350-2500 nm were measured in three experimental sites(fields) selected for the project, before and after a recovery treatment by using compost (organic fertilizer). The objectives was to evaluate the efficiency of soil VIS-NIR spectra for prediction of selected soil indicators closely related to soil quality in Mediterranean areas, such as those investigated in this study, affected by land degradation processes (contamination and/or organic carbon impoverishment).
SourceFirst Conference on Proximal Sensing Supporting Precision Agriculture, Turin, Italy, 6-10 settembre 2015
Keywordssoil quality assessmentVis-NIR spectroscopy
Year2015
TypeContributo in atti di convegno
DOI10.3997/2214-4609.201413836
AuthorsValeria Ancona, Roberto Salzano, Rosamaria Salvatori, Raffaella Matarrese, Claudia Campanale, Angelantonio Calabrese, Vito Felice Uricchio
Text333679 2015 10.3997/2214 4609.201413836 soil quality assessment Vis NIR spectroscopy Assessment of Soil Quality Indicators in Degraded Areas of Southern Italy using Vis NIR Spectroscopy Valeria Ancona, Roberto Salzano, Rosamaria Salvatori, Raffaella Matarrese, Claudia Campanale, Angelantonio Calabrese, Vito Felice Uricchio IRSA CNR, IIA CNR Rapid, precise and quantitative assessment of soil quality is crucial for sustainable evaluation and monitoring of the effects of management on soil resource under agricultural systems and for the characterization and monitoring of land degradation processes. Over the past three decades, Visible VIS and near infrared NIR spectroscopy have been shown to be an effective alternative to conventional laboratory analysis, and can provide time and cost effective approaches for the prediction of several soil properties related to soil quality indicators. For this study, VIS NIR spectroscopic and chemometric analysis were employed for the assessment of soil quality indicators in three degraded areas two survey sites depleted in organic carbon and one polluted by organic and inorganic compounds located in Southern Italy Apulia Region . The soil reflectance properties in the wavelengths range between 350 2500 nm were measured in three experimental sites fields selected for the project, before and after a recovery treatment by using compost organic fertilizer . The objectives was to evaluate the efficiency of soil VIS NIR spectra for prediction of selected soil indicators closely related to soil quality in Mediterranean areas, such as those investigated in this study, affected by land degradation processes contamination and/or organic carbon impoverishment . Published version First Conference on Proximal Sensing Supporting Precision Agriculture Turin, Italy 6 10 settembre 2015 Internazionale Contributo Ancona et al_EAGE_2015 Tu_PrS_P03.pdf Contributo in atti di convegno claudiacampanale CAMPANALE CLAUDIA rosamaria.salvatori SALVATORI ROSAMARIA vitofelice.uricchio URICCHIO VITO FELICE roberto.salzano SALZANO ROBERTO valeria.ancona ANCONA VALERIA raffaella.matarrese MATARRESE RAFFAELLA angelantonio.calabrese CALABRESE ANGELANTONIO TA.P06.003.001 Sviluppo di Metodologie per l integrazione di dati di osservazione della terra multisensore TA.P04.005.005 Gestione integrata delle informazioni ambientali