Name
Abstract | ||
|---|---|---|
The concept of canopy spectral invariants expresses the observation that simple algebraic combinations of leaf and canopy spectral reflectances become wavelength independent and determine two canopy structure specific variables - the recollision and escape probabilities. The recollision probability (probability that a photon scattered from a phytoelement will interact within the canopy again) is a measure of the multi-level hierarchical structure in a vegetated pixel and can be obtained from hyperspectral data. The escape probability (probability that a scattered photon will escape the vegetation in a given direction) is sensitive to canopy geometrical properties and can be derived from multi-angle spectral data. The escape and recollision probabilities have the potential to separate forest types based on crown shape and the number of hierarchical levels within the landscape. This paper introduces the concept and demonstrates how this approach can be used to monitor forest structural parameters with multi-angle and hyperspectral data. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WHISPERS.2009.5289105 | WHISPERS |
Keywords | Field | DocType |
geophysics computing,vegetation mapping,canopy spectral invariant,canopy spectral reflectance,escape probability,forest structural parameter,hyperspectral data,leaf,multiangle spectral data,recollision probability,remote sensing,vegetated pixel,aviris,misr,modis,proba/chris,canopy spectral invariants,canopy structure,spectral reflectance | Spectral invariants,Photon,Vegetation,Algebraic number,Remote sensing,Hyperspectral imaging,Pixel,Mathematics,Wavelength,Canopy | Conference |
ISBN | Citations | PageRank |
978-1-4244-4687-2 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yuri knyazikhin | 1 | 0 | 0.34 |
| mitchell a schull | 2 | 0 | 0.34 |
| liang hu | 3 | 19 | 5.79 |
| ranga b myneni | 4 | 0 | 0.34 |
| Pedro Latorre Carmona | 5 | 23 | 6.55 |