Pregled bibliografske jedinice broj: 942615
Estimation of SOC Content in Anthropogenic Soils from Flysch Deposits Using Vis-NIR Spectroscopy
Estimation of SOC Content in Anthropogenic Soils from Flysch Deposits Using Vis-NIR Spectroscopy // ACS. Agriculturae conspectus scintificus, 83 (2018), 2; 149-153 (međunarodna recenzija, članak, znanstveni)
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Naslov
Estimation of SOC Content in Anthropogenic Soils from Flysch Deposits Using Vis-NIR Spectroscopy
Autori
Miloš, Boško ; Bensa, Aleksandra
Izvornik
ACS. Agriculturae conspectus scintificus (1331-7768) 83
(2018), 2;
149-153
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
calibration, diff use refl ectance spectroscopy, PLSR, soil organic carbon
Sažetak
Th e objectives of this work were to estimate the ability of Vis-NIR diff use refl ectance spectroscopy for the prediction of soil organic carbon (SOC) content in terraced soils from Flysch deposits in Dalmatia, Croatia and to determine the signifi cance of spectral wavelengths and regions. In a total of 159 top- soil samples (0-25 cm) SOC content was determined in the laboratory and refl ectance spectra were collected using a portable Terra Spec 4 Hi-Res Mineral Spectrometer with a wavelength range 350-2500 nm. Th e partial last square regression (PLSR) with leave-one-out cross-validation method was used for calibrating the Vis-NIR spectra and SOC content. Th e SOC content varied from 2.79 to 28.66 g kg-1 with an average value of 13.47 g kg-1. Th e SOC model prediction parameters, the coeffi cient of determination (R2), the ratio of performance to deviation (RPD) and the range error ratio (RER) were 0.73, 1.76 and 8.19, respectively, indicating moderately useful calibration model which is acceptable for a rapid sample screening for SOC content determination. Th e wavelengths located near 1400, 1900, 2000, 2025, 2200, 2225, 2275, 2325 and 2355 nm in NIR, near 560 nm in visible and near 825 nm in the short-wave NIR (700-1100 nm) were identifi ed as important wavelengths for PLSR SOC modelling
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Ustanove:
Agronomski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus