Calculation of canopy bidirectional reflectance using the Monte Carlo method

Ross, Juhan; Marshak, A.

doi:10.1016/0034-4257(88)90026-0

Cited by 124 publications

(46 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A peak is also found in the TM4 region in the direction of the hot spot, i.e., 0v = -30 ø (for review of this effect see Qin and Goel [1995]), which is more noticeable when the vegetation is denser. We can observe that reflectance is moderately symmetrical relative to both sides of nadir, in agreement with other authors [Ross and Marshak, 1988]. In the visible regions (e.g., TM3), scattering properties of the soil have a dominant contribution, due to its higher brightness.…”

Section: Brf Of Simulated Scenessupporting

confidence: 92%

A radiosity model for heterogeneous canopies in remote sensing

Garcı́a-Haro¹,

Gilabert²,

Meliá³

1999

J. Geophys. Res.

View full text Add to dashboard Cite

Section: Brf Of Simulated Scenessupporting

confidence: 92%

A radiosity model for heterogeneous canopies in remote sensing

Garcı́a-Haro¹,

Gilabert²,

Meliá³

1999

J. Geophys. Res.

View full text Add to dashboard Cite

“…Leaves shadow each other, and the far field approximation is not valid anymore. The best way to handle this type of difficulty is to model the full three-dimensional structure of plant canopies with such tools as ray tracing (e.g., [Ross and Marshak 1988], [Govaerts and Verstraete 1998]) or radiosity (e.g., [Borel et al 1991], [Goel et al 1991…”

Section: Introductionmentioning

confidence: 99%

The effect of soil anisotropy on the radiance field emerging from vegetation canopies

Pinty

Verstraete

Gobron

1998

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…This is effect of finite sizes of the foliage (Kuusk, 1991;Nilson, 1991), which in turn causes the canopy hot spot effect, i.e. a sharp increase in canopy reflected radiation when scattering direction Ω approaches the direction to the sun Ω 0 (Kuusk, 1991;Nilson, 1991;Qin et al, 1996;Ross and Marshak, 1988). Second, with the increase in the angle between Ω 0 and Ω, the correlation decreases from its maximum to zero, and then levels off (Fig.…”

Section: Stochastic Reflecting Boundarymentioning

confidence: 99%

“…The reflectance of vegetation reaches its maximum in the backscattering direction. This phenomenon is known as the hot spot effect (Gerstl, 1999;Knyazikhin and Marshak, 1991;Kuusk, 1991;Qin et al, 1996;Ross and Marshak, 1988). It has been widely recognized that the hot spot region represents the most information-rich directions in the directional distribution of canopy reflected radiation (Gerstl, 1999;Goel et al, 1997;Qin et al, 2002;Ross and Marshak, 1988).…”

Section: Introductionmentioning

confidence: 99%

Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: Theoretical basis

Yang

Knyazikhin

Mõttus

et al. 2017

Remote Sensing of Environment

View full text Add to dashboard Cite

This paper presents the theoretical basis of the algorithm designed for the generation of leaf area index and diurnal course of its sunlit portion from NASA's Earth Polychromatic Imaging Camera (EPIC) onboard NOAA's Deep Space Climate Observatory (DSCOVR). The Look-up- Table (LUT) approach implemented in the MODIS operational LAI/FPAR algorithm is adopted. The LUT, which is the heart of the approach, has been significantly modified. First, its parameterization incorporates the canopy hot spot phenomenon and recent advances in the theory of canopy spectral invariants. This allows more accurate decoupling of the structural and radiometric components of the measured Bidirectional Reflectance Factor (BRF), improves scaling properties of the LUT and consequently simplifies adjustments of the algorithm for data spatial resolution and spectral band compositions. Second, the stochastic radiative transfer equations are used to generate the LUT for all biome types. The equations naturally account for radiative effects of the three-dimensional canopy structure on the BRF and allow for an accurate discrimination between sunlit and shaded leaf areas. Third, the LUT entries are measurable, i.e., they can be independently derived from both below canopy measurements of the transmitted and above canopy measurements of reflected radiation fields. This feature makes possible direct validation of the LUT, facilitates identification of its deficiencies and development of refinements. Analyses of field data on canopy structure and leaf optics collected at 18 sites in the Hyytiälä forest in southern boreal zone in Finland and hyperspectral images acquired by the EO-1 Hyperion sensor support the theoretical basis.

show abstract

Calculation of canopy bidirectional reflectance using the Monte Carlo method

Cited by 124 publications

References 9 publications

A radiosity model for heterogeneous canopies in remote sensing

A radiosity model for heterogeneous canopies in remote sensing

The effect of soil anisotropy on the radiance field emerging from vegetation canopies

Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: Theoretical basis

Contact Info

Product

Resources

About