Results 21 to 30 of about 5,784 (209)
Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances
Remote Sensing, 2019 Forest-canopy height is an important parameter for the estimation of forest biomass and terrestrial carbon flux and climate-change research at regional and global scales.
Lei Cui +9 more
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BRDF LABORATORY MEASUREMENTS USING A CAMERA-AIDED SPECTRORADIOMETER [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Numerous natural surfaces observed using Remote Sensing do not reflect light as Lambertian surfaces. Instead, their reflection is highly dependent on two main directions: the direction of the light source and the observation viewing angle, which ...
E. Roitberg +3 more
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Remote Sensing, 2019 Satellite-derived vegetation indices (VIs) have been widely used to approximate or estimate gross primary productivity (GPP). However, it remains unclear how the VI-GPP relationship varies with indices, biomes, timescales, and the bidirectional ...
Xiaojuan Huang +2 more
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Remote Sensing, 2018 Rugged terrain, including mountains, hills, and some high lands are typical land surfaces around the world. As a physical parameter for characterizing the anisotropic reflectance of the land surface, the importance of the bidirectional reflectance ...
Jianguang Wen +7 more
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Remote Sensing, 2020 Airborne hyper-spectral imaging has been proven to be an efficient means to provide new insights for the retrieval of biophysical variables. However, quantitative estimates of unbiased information derived from airborne hyperspectral measurements ...
Wen Jia +5 more
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An Empirical Assessment of Angular Dependency for RedEdge-M in Sloped Terrain Viticulture
Remote Sensing, 2019 For grape canopy pixels captured by an unmanned aerial vehicle (UAV) tilt-mounted RedEdge-M multispectral sensor in a sloped vineyard, an in situ Walthall model can be established with purely image-based methods.
Chizhang Gong +3 more
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Remote Sensing, 2020 Light use efficiency (LUE) is a key indicator of vegetation photosynthesis, which provides important insights into how vegetation productivity responds to environmental conditions.
Li Ma +9 more
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BRDFs acquired by directional radiative measurements during EAGLE and AGRISAR [PDF]
, 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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Sparse BRDF Approximation using Compressive Sensing
, 2013 International audienceWe experiment a BRDF acquisiton method from a single picture, knowing geometry and illumination. To tackle such a severely underconstrained problem, we express the BRDF in a high dimensional basis, and perform the reconstruction ...
Soler, Cyril, Zupancic, Benoît
core +4 more sources
Neural BRDFs: Representation and Operations
CoRR, 2021 Bidirectional reflectance distribution functions (BRDFs) are pervasively used in computer graphics to produce realistic physically-based appearance. In recent years, several works explored using neural networks to represent BRDFs, taking advantage of neural networks' high compression rate and their ability to fit highly complex functions. However, once
Jiahui Fan +4 more
openaire +2 more sources