Pregled bibliografske jedinice broj: 1169539
Soil Chemical Properties and Fire Severity Assessment Using VNIR Proximal Spectroscopy in Fire-Affected Abandoned Orchard of Mediterranean Croatia
Soil Chemical Properties and Fire Severity Assessment Using VNIR Proximal Spectroscopy in Fire-Affected Abandoned Orchard of Mediterranean Croatia // Agronomy, 12 (2022), 1; 1-20 doi:10.3390/agronomy12010129 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1169539 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Soil Chemical Properties and Fire Severity
Assessment Using VNIR Proximal Spectroscopy in
Fire-Affected Abandoned Orchard of Mediterranean
Croatia
Autori
Šestak, Ivana ; Pereira, Paulo ; Telak, Leon Josip ; Perčin, Aleksandra ; Hrelja, Iva ; Bogunović, Igor
Izvornik
Agronomy (2073-4395) 12
(2022), 1;
1-20
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
wildfires ; terra rossa ; soil quality ; VNIR spectroscopy ; olive orchard
Sažetak
This paper aims to evaluate the ability of VNIR proximal soil spectroscopy to determine post-fire soil chemical properties and discriminate fire severity based on soil spectra. A total of 120 topsoil samples (0–3 cm) were taken from 6 ha of unburned (control (CON)) and burned areas (moderate fire severity (MS) and high fire severity (HS)) in Mediterranean Croatia within one year after the wildfire. Partial least squares regression (PLSR) and an artificial neural network (ANN) were used to build calibration models of soil pH, electrical conductivity (EC), CaCO3, plant-available phosphorus (P2O5) and potassium (K2O), soil organic carbon (SOC), exchangeable calcium (exCa), magnesium (exMg), potassium (exK), sodium (exNa), and cation exchange capacity (CEC), based on soil reflectance data. In terms of fire severity, CON samples exhibited higher average reflectance than MS and HS samples due to their lower SOC content. The PCA results pointed to the significance of the NIR part of the spectrum for extracting the variance in reflectance data and differentiation between the CON and burned area (MS and HS). DA generated 74.2% correctly classified soil spectral samples according to the fire severity. Both PLSR and ANN calibration techniques showed sensitivity to extract information from soil features based on hyperspectral reflectance, most successfully for the prediction of SOC, P2O5, exCa, exK, and CEC. This study confirms the usefulness of soil spectroscopy for fast screening and a better understanding of soil chemical properties in post- fire periods.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Projekti:
UIP-2017-05-7834 - Erozija i degradacija tala Hrvatske (SEDCRO) (Bogunović, Igor, HRZZ - 2017-05) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb
Profili:
Aleksandra Perčin
(autor)
Ivana Šestak
(autor)
Igor Bogunović
(autor)
Iva Hrelja
(autor)
Leon Josip Telak
(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