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

Forests

Ivan Balenović²  Anamarija Jazbec¹  Hrvoje Marjanović²  Elvis Paladinić²  Dijana Vuletić⁴  Joanne C. White³ 

[1] Department of Forest Inventory and Management, Faculty of Forestry, University of Zagreb, Svetošimunska cesta 25, Zagreb HR-10002, Croatia; E-Mail:;Division for Forest Management and Forestry Economics, Croatian Forest Research Institute, Trnjanska cesta 35, Zagreb HR-10000, Croatia; E-Mails:Division for Forest Management and Forestry Economics, Croatian Forest Research Institute, Trnjanska cesta 35, Zagreb HR-10000, Croatia;;Common Affairs Service, Croatian Forest Research Institute, Cvjetno naselje 41, Jastrebarsko HR-10450, Croatia; E-Mail:

关键词: estimation models;    regression analysis;    diameter at breast height;    volume;    aboveground biomass;    pure even-aged stands;    Sub-Mediterranean region;   

DOI  :  10.3390/f6020492

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.