Two-scale Monte Carlo ray tracing for canopy-leaf vector radiative transfer coupling

Kallel, A.

doi:10.1016/j.jqsrt.2019.106815

Cited by 11 publications

(2 citation statements)

References 30 publications

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“…As a subset of ray tracing, path tracing is based on numerical approximation of Kajiya's rendering equation (Kajiya, 1986). Ray tracing methods in leaf optical models have been widely applied in recent decades (Govaerts and Verstraete, 1998, Ustin et al, 2001, Kallel, 2018, Kallel, 2020.…”

Section: Methodsmentioning

confidence: 99%

Hyperblend: Simulating Spectral Reflectance and Transmittance of Leaf Tissue With Blender

Riihiaho

Rossi

Pölönen

2022

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Remotely sensing vegetation condition and health hazards requires modeling the connection of plants’ biophysical and biochemical parameters to their spectral response. Even though many models exist already, the field suffers from lack of access to program code. In this study, we will assess the feasibility of open-source 3D-modeling and rendering software Blender in simulating hyperspectral reflectance and transmittance of leaf tissue to serve as a base for a more advanced large-scale simulator. This is the first phase of a larger HyperBlend project, which will provide a fully open-source, canopy scale leaf optical properties model for simulating remotely sensed hyperspectral images. Test results of the current HyperBlend model show good agreement with real-world measurements with root mean squared error around 1‰. The program code is available at https://github.com/silmae/ hyperblend.

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Section: Methodsmentioning

confidence: 99%

Hyperblend: Simulating Spectral Reflectance and Transmittance of Leaf Tissue With Blender

Riihiaho

Rossi

Pölönen

2022

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…A rough taxonomy of the leaf optical properties models can be established by examining the scale that they operate on: cell scale models depict the intricate internal structure of a plant leaf, 9 – 11 leaf scale models see the leaves as a whole, 12 , 13 and canopy scale models simulate the reflectance of groups of plants 14 – 17 Canopy scale simulators are often statistical extensions of leaf models with some additional elements, such as soil reflectance.…”

Section: Introductionmentioning

confidence: 99%

HyperBlend leaf simulator: improvements on simulation speed, generalizability, and parameterization

Riihiaho,

Lind,

Pölönen

2023

J. Appl. Rem. Sens.

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In recent decades, remote sensing of vegetation by hyperspectral imaging has been of great interest. An important part in interpreting the remotely sensed spectral data is played by simulators, which approximate the connection between plants' biophysical and biochemical properties and detected spectral response. We introduce improvements and new features to recently published hyperspectral leaf model HyperBlend. We present two methods for increasing simulation speed of the model up to 200 times faster with slight decrease in simulation accuracy. We integrate the well-known PROSPECT leaf model into HyperBlend allowing us to use the PROSPECT parametrization for leaf simulation. For the first time, we show that HyperBlend generalizes well and can be used to accurately simulate a wide variety of plant leaf spectra. HyperBlend is available as an open-source Python project under MIT license in a GitHub repository available at: https://github.com/ silmae/hyperblend.

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FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation

Kallel

2020

Journal of Quantitative Spectroscopy and Radiative Transfer

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Two-scale Monte Carlo ray tracing for canopy-leaf vector radiative transfer coupling

Cited by 11 publications

References 30 publications

Hyperblend: Simulating Spectral Reflectance and Transmittance of Leaf Tissue With Blender

Hyperblend: Simulating Spectral Reflectance and Transmittance of Leaf Tissue With Blender

HyperBlend leaf simulator: improvements on simulation speed, generalizability, and parameterization

FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation

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