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These approaches were: individual vegetation indices, a combination of spectral bands and a combination of spectral derivatives.
These results underscore the difficulty in isolating fire effects to individual vegetation strata when fire effects are mixed.
The primary objective of this paper is to experimentally investigate the scour/deposition patterns around different forms of individual vegetation elements.
We found that wind velocity in the wake of the patch effectively recovered over ∼12 patch heights (h) downwind, which is 2 5 h longer than previously reported recovery lengths for individual vegetation elements and two-dimensional wind fences.
To examine the influence of subgrid scale heterogeneity on GPP estimates over the MODIS scale, the individual vegetation type and its area within a corresponding MODIS pixel were identified using a national forest type map (∼71-m spatial resolution), and the annual GPP in the same area as the MODIS pixel was estimated.
Distinguishing between different individual vegetation types was performed based on NDVI profile analyses.
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For this purpose we developed empirical models combining measurements obtained through the analysis of aerial photos and reflectance from Landsat Thematic Mapper (TM) individual channels, vegetation indices, and the components of the Kauth Thomas (K T) transformation.
KcTRP values for individual riparian vegetation species [Common reed (Phragmites australis), Cottonwood (Populus deltoids) and Peach-leaf willow (Salix amygdaloides)] were quantified from the TRP rates obtained using scaled-up canopy resistance from measured leaf-level stomatal resistance and reference evapotranspiration.
The GIS symmetrical difference tool was subsequently used to perform an overlay analysis for the individual woody vegetation elements in order to study the change trajectories and to obtain information about the woodlands that have remained unchanged (continuous), the ones that have disappeared (extinct), and the ones that have newly appeared in the landscape (recent).
We used elevation estimates taken at the point of capture for each individual and vegetation data from a floristic study of Palomar Mountain State Park [ 70].
In it, offline modelling of individual items of vegetation is performed using the MAESPA process-based tree model (Duursma and Medlyn, 2012) (a model that can model individual trees, vegetation, and soil components), and integrated into the TUF-3D (Krayenhoff and Voogt, 2007) urban micro-climate surface energy balance (SEB) model.
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