Title
Estimation of Merchantable Volume of Eucalyptus Clones Based on Leaf-Level Hyperspectral Data
Abstract
This study assessed the suitability of chlorophyll, nitrogen, and water content, derived from leaf-level spectroradiometer data, for estimating volume of Eucalyptus clones in KwaZulu-Natal, South Africa. Volume was derived from field measurements of diameter at breast height (textit{dbh}) and tree height. Chlorophyll, nitrogen, and water related indices were used to estimate merchantable volume of Eucalyptus clones. Analysis of variance (ANOVA) was used to assess whether significant differences could be detected amongst index values within the plots or compartments, based on different age groups, clones, and site qualities. Cross validation and model selection based on adjusted and low Mallows’ Cp were utilized in the development of volume models. The strength of the correlations for all clones combined was found to be much lower than the individual relationships for textit{E. grandis} and textit{E. saligna}. ANOVA results indicated that volume was significantly ( ) influenced by age, site quality, and the clone in question. Models developed using stepwise approach without ancillary data, such as age and site index, had low adjusted values ( ) and high root-mean-square error (RMSE) values compared to models that included ancillary data ( ). Partial least square regression models exhibited higher ( ) and lower RMSE and Mallows’ Cp. These results suggest that spectral measurements of chlorophyll, nitrogen, and water content have potential as independent variables to assist in the estimation of merchantable vol- me of Eucalyptus clones. This has important implications since results can be extended to airborne data and regional assessments.
Year
DOI
Venue
2015
10.1109/JSTARS.2015.2400573
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Keywords
Field
DocType
asd,forest merchantable volume,hyperspectral data,spectral vegetation indices,anova,forestry,vegetation,cloning,remote sensing,indexes,analysis of variance,mathematical model,nitrogen
Hydrology,Partial least squares regression,Remote sensing,Eucalyptus,Mean squared error,Diameter at breast height,Water content,Statistics,Site index,Cross-validation,Mathematics,Chlorophyll
Journal
Volume
Issue
ISSN
PP
99
1939-1404
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Mzinyane, T.D.100.34
van Aardt, J.281.76
Fethi Ahmed311.29