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A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
(MDPI, 2014)
Airborne laser scanner (ALS) data provide an enhanced capability to remotely map two key variables in forestry: leaf area index (LAI) and tree height (H). Nevertheless, the cost, complexity and accessibility of this ...
Deriving predictive relationships of carotenoid content at the canopy level in a conifer forest using hyperspectral imagery and model simulation
(IEEE, 2014)
Recent studies have demonstrated that the R570/R515 index is highly sensitive to carotenoid (Cx + c) content in conifer forest canopies and is scarcely influenced by structural effects. However, validated methods for the ...
Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations
(Science Direct, 2012)
The present study explored the use of narrow-band indices formulated in the visible spectral region at leaf and canopy levels to estimate carotenoid content. The research area was a pine forest affected by decline processes. ...
Assessing structural effects on PRI for stress detection in conifer forests
(Science Direct, 2011)
The retrieval of indicators of vegetation stress from remote sensing imagery is an important issue for the accurate assessment of forest decline. The Photochemical Reflectance Index (PRI) has been demonstrated as a ...