Spectral invariants and scattering across multiple scales from within-leaf to canopy
By Philip Lewis, M. Disney. 2007
148 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c129cced8d39587e2e4bf82b6e0f1c4ee472af03
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Jochem Verrelst
- Michael E. Schaepman
- Susan L. Ustin
- José Luis Silván-Cárdenas
- Antonio J. Plaza
- Yuri Knyazikhin
- Arindam Samanta
- Mitchell A. Schull
In Global and Planetary Change
- Jochem Verrelst
- Michael E. Schaepman
- José Luis Silván-Cárdenas
- Antonio J. Plaza
- Susan L. Ustin
- Shunlin Liang
- Yuri Knyazikhin
- Arindam Samanta
Citations in the corpus
- Canopy spectral invariants, Part 2: Application to classification of forest types from hyperspectral data (2011, background): “Let o=(TL+RL)/(1 t0) be the transformed leaf albedo, which is the probability of being scattered from the leaf given that photon interacts with internal leaf constituents [35].”
- Canopy spectral invariants. Part 1: A new concept in remote sensing of vegetation (2011, background): “By plotting i(l) versus i(l)o(l), a linear relationship is obtained.”
- Retrieval of subpixel Tamarix canopy cover from Landsat data along the Forgotten River using linear and nonlinear spectral mixture models (2010, methodology): “The model development builds upon results from the spectral invariant theory, according to which leaf/shoot reflectance is related to canopy reflectance through photon recollision probability parameters (Huang et al., 2007; Lewis & Disney, 2007; Smolander & Stenberg, 2005).”
- Earth system science related imaging spectroscopy — an assessment (2009, background): “…a predominant topic in remote sensing (Chen et al., 1999; Marceau & Hay, 1999; Wessman, 1992), and their application to imaging spectroscopy has remained underexplored for a long time, but it now receives increasingly focused attention (Lewis & Disney, 2007; Roberts et al., 2004; Schaepman, 2007).”