Visible and infrared spectroscopy to evaluate soil quality in degraded sites: an applicative study in southern Italy.
Abstract
Land degradation processes like organic matter impoverishment and contamination are growing increasingly allover the world due to a non-rational and often sustainable spread of human activities on the territory. Consequentlythe need to characterize and monitor degraded sites is becoming very important, with the aim to hinder such mainthreats, which could compromise drastically, soil quality.Visible and infrared spectroscopy is a well-known technique/tool to study soil properties. Vis-NIR spectralreflectance, in fact, can be used to characterize spatial and temporal variation in soil constituents (Brown et al.,2006; Viscarra Rossel et al., 2006), and potentially its surface structure (Chappell et al., 2006, 2007). It is a rapid,non-destructive, reproducible and cost-effective analytical method to analyse soil properties and therefore, it canbe a useful method to study land degradation phenomena.In this work, we present the results of proximal sensing investigations of three degraded sites (one affected byorganic and inorganic contamination and two affected by soil organic matter decline) situated southern Italyclose to Taranto city (in Apulia Region). A portable spectroradiometer (ASD-FieldSpec) was used to measure thereflectance properties in the spectral range between 350-2500 nm of the soil, in the selected sites, before and aftera recovery treatment by using compost (organic fertilizer). For each measurement point the soil was sampled inorder to perform chemical analyses to evaluate soil quality status.Three in-situ campaigns have been carried out (September 2012, June 2013, and September 2013), collectingabout 20 soil samples for each site and for each campaign.Chemical and spectral analyses have been focused on investigating soil organic carbon, carbonate content, textureand, in the case of polluted site, heavy metals and organic toxic compounds.Statistical analyses have been carried out to test a prediction model of different soil quality indicators based on thespectral signatures behaviour of each sample ranging.
Autore Pugliese
Tutti gli autori
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V. Ancona; R. Matarrese; R. Salvatori; R. Salzano; S. Regano; A. Calabrese; C. Campanale; V. F. Uricchio
Titolo volume/Rivista
Geophysical research abstracts
Anno di pubblicazione
2014
ISSN
1607-7962
ISBN
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Numero di citazioni Wos
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Settori ERC
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Codici ASJC
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