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Pregled bibliografske jedinice broj: 752137

Modeling Tree Characteristics of Individual Black Pine (Pinus nigra Arn.) Trees for Use in Remote Sensing-Based Inventory


Balenović, Ivan; Jazbec, Anamarija; Marjanović, Hrvoje; Paladinić, Elvis; Vuletić, Dijana
Modeling Tree Characteristics of Individual Black Pine (Pinus nigra Arn.) Trees for Use in Remote Sensing-Based Inventory // Forests, 6 (2015), 2; 492-509 doi:10.3390/f6020492 (podatak o recenziji nije dostupan, prethodno priopcenje, znanstveni)


Naslov
Modeling Tree Characteristics of Individual Black Pine (Pinus nigra Arn.) Trees for Use in Remote Sensing-Based Inventory

Autori
Balenović, Ivan ; Jazbec, Anamarija ; Marjanović, Hrvoje ; Paladinić, Elvis ; Vuletić, Dijana

Izvornik
Forests (1999-4907) 6 (2015), 2; 492-509

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopcenje, znanstveni

Ključne riječi
Estimation models; regression analysis; diameter at breast height; volume; aboveground biomass; pure even-aged stands; Sub-Mediterranean region

Sažetak
The main aim was to develop models for predicting diameter at breast height (DBH), merchantable tree volume (V), and aboveground biomass (AGB) of individual black pine (Pinus nigra Arn.) trees grown in Sub-Mediterranean Croatian pure even-aged forests, which will be suitable for remote sensing based forest inventories. In total, eight variables obtained from field measurement, existing database, and digital terrain model were candidates for independent variables in regression analysis. DBH, V, and AGB were modeled as linear function of each of the independent variables, and all possible linear combinations thereof. Goodness of fit of every model was then evaluated using R2 statistic. Comparison between selected models showed that the variability of all dependent variables are explained best by models which include both crown diameter and tree height as independent variables with coefficients of determination of 0.83, 0.89, 0.82 for DBH, V, and AGB, respectively. Consequently, these models may be recommended as the most suited for DBH, V and AGB estimation of black pine trees grown in pure Sub-Mediterranean forest stands using high- resolution aerial images or high-density airborne laser scanning data. This assumption should be further validated by conducting remote sensing inventory and comparing the obtained results with field measurement results.

Izvorni jezik
Engleski

Znanstvena područja
Šumarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-UIP-2013-11-2492 - Procjena i predviđanje produktivnosti šumskog ekosustava objedinjavanjem terenskih izmjera, daljinskih istraživanja i modeliranja (Hrvoje Marjanović, )

Ustanove
Hrvatski šumarski institut, Jastrebarsko,
Šumarski fakultet, Zagreb

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:


  • AGRICOLA
  • CAB Abstracts
  • Compendex (EI Village)
  • Geobase
  • Scopus


Citati