Pregled bibliografske jedinice broj: 943901
Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties
Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties // Plant, soil and environment, 64 (2018), 6; 276-282 doi:10.17221/220/2018-PSE (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 943901 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Visible and near infrared reflectance spectroscopy for field-scale assessment of Stagnosols properties
Autori
Šestak, Ivana ; Mesić, Milan ; Zgorelec, Željka ; Perčin, Aleksandra ; Stupnišek, Ivan
Izvornik
Plant, soil and environment (1214-1178) 64
(2018), 6;
276-282
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
nitrogen fertilization ; remote sensing ; non-destructive method ; climatic condition ; soil texture ; linear calibration
Sažetak
Spectral data contain information on soil organic and mineral composition, which can be useful for soil quality monitoring. The objective of research was to evaluate hyperspectral visible and near infrared reflectance (VNIR) spectroscopy for field-scale prediction of soil properties and assessment of factors affecting soil spectra. Two hundred soil samples taken from the experiment field (soil depth: 30 cm ; sampling grid: 15 × 15 m) were scanned using portable spectroradiometer (350–1050 nm) to identify spectral differences of soil treated with ten different rates of mineral nitrogen (N) fertilizer (0–300 kg N/ha). Principal component analysis revealed distinction between higher- and lower-N level treatments conditioned by differences in soil pH, texture and soil organic matter (SOM) composition. Partial least square regression resulted in very strong correlation and low root mean square error (RMSE) between predicted and measured values for the calibration (C) and validation (V) dataset, respectively (SOM, %: RC2 = 0.75 and RV2 = 0.74 ; RMSEC = 0.334 and RMSEV = 0.346 ; soil pH: RC2 = 0.78 and RV2 = 0.62 ; RMSEC = 0.448 and RMSEV = 0.591). Results indicated that hyperspectral VNIR spectroscopy is an efficient method for measurement of soil functional attributes within precision farming framework.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Projekti:
178-1780692-0695 - Gnojidba dušikom prihvatljiva za okoliš (Mesić, Milan, MZOS ) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Aleksandra Perčin
(autor)
Ivana Šestak
(autor)
Ivan Stupnišek
(autor)
Milan Mesić
(autor)
Željka Zgorelec
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- ISI Web of KnowledgeSM
- Agrindex of AGRIS/FAO databáze
- Czech Agricultural and Food Bibliography
- TOXLINE Plus
- CNKI
- CrossRef
- Google Scholar
- DOAJ (Directory of Open Access Journals)
- J-GATE