Monte Carlo ray tracing in optical canopy reflectance modelling

By M. Disney, Philip Lewis, Peter R. J. North. 2000

170 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/075c6cc61ecbf4923e2073ff6ad62c4da610d674

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Citations in the corpus

Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations (2016, methodology): “This approach is far more 234 computationally efficient than stochastic ray tracing of the full light environment (Jonckheere 235 et al., 2006), which can require three wavelengths and multiple sampling rays per pixel to 236 provide an RGB image (Disney et al., 2000).”
Simple parameterizations of the radiation budget of uniform broadleaved and coniferous canopies (2005, methodology): “Given a detailed description of a single canopy, the radiation budget can be calculated using Monte Carlo simulation models (Disney et al., 2000).”
Estimation of fAPAR, LAI, and vegetation fractional cover from ATSR-2 imagery (2002, methodology): “This methodology allows representation of complex vegetation structures and correct treatment of spectral mixing resulting from multiple scattering within the scene (see reviews by Disney, Lewis, & North, 2000; Ross & Marshak, 1991).”
Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes (2015, methodology): “An advantage of this technique is explicit computation of only single scattering properties [24].”
An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems (2015, methodology): “A single ray for each pixel was traced from a point above the tree in the direction of the pixel centroid to the ground, i.e. implementing a reverse ray-tracing approach (Disney et al., 2000).”