Results 71 to 80 of about 4,498 (215)
BTF Modelling Using BRDF Texels [PDF]
International Journal of Computer Mathematics, 2006 The highest fidelity representations of realistic real-world materials currently comprise Bidirectional Texture Functions (BTF).
Jirí Filip, Michal Haindl
openaire +1 more source
Earth and Space Science, Volume 13, Issue 5, May 2026.Abstract Tropospheric Emissions: Monitoring of Pollution (TEMPO) provides valuable hourly measurements of airborne pollutants over North America. Data quality over snowy surfaces may degrade due to difficulty in accurately characterizing surface reflectivity and cloud properties, as snow and cloud are both highly reflective and therefore challenging to
Lukas Fehr +8 more
wiley +1 more source
In Situ Brdf Measurements Of Selected Surface Materials To . . .
, 2007 The spectral bidirectional reflectance distribution function (BRDF) of selected artificial surfaces (e. g. roof materials) was measured under natural illumination.
Spectralon Brdf +4 more
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Remote SensingThe Bidirectional Reflectance Distribution Function (BRDF) is a critical spatial distribution parameter in the quantitative research of remote sensing and has a wide range of applications in radiometric correction, elemental inversion, and surface ...
Zhuo Wang +4 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015 Land surface albedo, qualifying the ratio of the radiant flux reflected from the land surface to the incident flux, is a key forcing parameter controlling the Earth's energy budget.
Ziti Jiao +5 more
doaj +1 more source
Capturing Spatiotemporal and Subgrid Variability in Global Land Surface Albedo Parameterization
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.Abstract Accurate surface albedo parameterization is critical for modeling Earth's energy balance. Yet, many schemes rely on static look‐up tables or semi‐empirical formulations that fail to capture spatiotemporal variations and complex radiative interactions. This study develops a physics‐informed machine‐learning parameterization using 19 years (2003–
Akarsh Ralhan, Xin‐Zhong Liang
wiley +1 more source
Modeling the Lunar Thermal Emission Phase Function With the Diviner Lunar Radiometer
Journal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.Abstract The lunar thermal emission phase function (EPF) describes the anisotropic variation in observed infrared emission and brightness temperature with illumination and viewing geometry. The EPF is caused by small‐scale surface roughness below the resolution of current orbital data sets.
E. Jhoti +4 more
wiley +1 more source
, 2017 Mat file to be used with percentisotropic.m for plotting BRDF data from Figure ...
Amanda L. Holt (3262902) +5 more
core +1 more source
Multi‐Decadal Dynamics of Wetland Methane Emissions Revealed by Knowledge‐Guided Machine Learning
Global Change Biology, Volume 32, Issue 5, May 2026.Eddy covariance data for wetland CH4 emissions are fragmented, restricting the assessment of their long‐term dynamics. This study developed a knowledge‐guided machine‐learning framework that integrates field observations with biogeochemical principles to reliably reconstruct historical methane fluxes.
Qing Zhu +18 more
wiley +1 more source
BRDFs acquired by directional radiative measurements during EAGLE and AGRISAR
, 2008 Radiation is the driving force for all processes and interactions between earth surface and atmosphere. The amount of measured radiation reflected by vegetation depends on its structure, the viewing angle and the solar angle. This angular dependence is
Vekerdy, Zoltán +5 more
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