Results 21 to 30 of about 1,253 (181)

Evaluating the Performance of Satellite-Derived Vegetation Indices for Estimating Gross Primary Productivity Using FLUXNET Observations across the Globe

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, Jingfeng Xiao, Mingguo Ma   +2 more
doaj   +1 more source

Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments

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, Qiang Liu, Qing Xiao, Qinhuo Liu, Dongqin You, Dalei Hao, Shengbiao Wu, Xingwen Lin   +7 more
doaj   +1 more source

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, Henning Buddenbaum, Rebecca Retzlaff, Thomas Udelhoven   +3 more
doaj   +1 more source

Learning to Learn and Sample BRDFs

Computer Graphics Forum, 2023
AbstractWe propose a method to accelerate the joint process of physically acquiring and learning neural Bi‐directional Reflectance Distribution Function (BRDF) models. While BRDF learning alone can be accelerated by meta‐learning, acquisition remains slow as it relies on a mechanical process.
Chen Liu 0029, Michael Fischer 0011, Tobias Ritschel 0001   +2 more
openaire   +3 more sources

Relationship between Light Use Efficiency and Photochemical Reflectance Index Corrected Using a BRDF Model at a Subtropical Mixed Forest

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, Shaoqiang Wang, Jinghua Chen, Bin Chen, Leiming Zhang, Lixia Ma, Muhammad Amir, Leigang Sun, Guoyi Zhou, Ze Meng   +9 more
doaj   +1 more source

A Copula‐Based BRDF Model

Computer Graphics Forum, 2010
Abstract In this paper, we introduce a novel approach for modeling surface reflection. We focus on using a family of probability distributions called Archimedean copulas as BRDF models. The Archimedean representation has an attractive property in that the multivariate distributions are characterized by their marginal distributions through a single ...
Ozturk, Aydin, Kurt, Murat, Bilgili, Ahmet   +2 more
openaire   +4 more sources

Development of a High Resolution BRDF/Albedo Product by Fusing Airborne CASI Reflectance with MODIS Daily Reflectance in the Oasis Area of the Heihe River Basin, China

Remote Sensing, 2015
A land-cover-based linear BRDF (bi-directional reflectance distribution function) unmixing (LLBU) algorithm based on the kernel-driven model is proposed to combine the compact airborne spectrographic imager (CASI) reflectance with the moderate resolution
Dongqin You, Jianguang Wen, Qing Xiao, Qiang Liu, Qinhuo Liu, Yong Tang, Baocheng Dou, Jingjing Peng   +7 more
doaj   +1 more source

Directional Applicability Analysis of Albedo Retrieval Using Prior BRDF Knowledge

Remote Sensing
Surface albedo measures the proportion of incoming solar radiation reflected by the Earth’s surface. Accurate albedo retrieval from remote sensing data usually requires sufficient multi-angular observations to account for the surface reflectance ...
Hu Zhang, Qianrui Xi, Junqin Xie, Xiaoning Zhang, Lei Chen, Yi Lian, Hongtao Cao, Yan Liu, Lei Cui, Yadong Dong   +9 more
doaj   +1 more source

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, Beibei Wang 0002, Milos Hasan, Jian Yang 0003, Ling-Qi Yan 0001   +4 more
openaire   +2 more sources

BRDF Correction in Landsat Directional Reflectance Data by Combining Optimal BRDF Archetype With Spectral Characteristics

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The Landsat optical images have provided a unique long-term record of the terrestrial surface and have always been an important data source for earth observation.
Aojie Shen, Jie Shao, Xin Qi, Zhongzheng Zhu, Yujie Dai, Qi Zeng   +5 more
doaj   +1 more source