VBRT: A novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes

doi:10.1016/j.rse.2017.12.043

	VBRT: A novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes
	Li, Wenkai ; Guo, Qinghua1,2 ; Tao, Shengli 3,4,5; Su, Yanjun 1,2
	2018
发表期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
卷号	206 页码:318-335
摘要	Modeling the radiative transfer (RT) in heterogeneous forest scenes is important for understanding biophysical processes, as well as retrieving information from remotely sensed data. LiDAR (Light Detection and Ranging) is capable of providing highly detailed three-dimensional (3D) canopy structural information that can be used to parameterize RT models. In previous studies, point cloud data (such as terrestrial LiDAR data) are often vox-elized with coarse resolutions, and the foliage voxels are often assumed to be turbid medium. In this study we propose a new voxel-based RT model, namely VBRT, that uses high resolution solid voxels to approximate 3D structure of forest more accurately than coarse resolution turbid medium voxels used in previous studies. Parallel computing techniques are used to speed up computation and the model can run on high performance computing (HPC) platforms. VBRT was tested in four virtual forest scenes, using the well-known physically based ray tracer (PBRT) as a benchmark. The Discrete Anisotropic Radiative Transfer (DART) model, which is based on turbid medium voxels, was also compared. Experimental results show that simulated digital imagery and bi-directional reflectance factor (BRF) by VBRT and PBRT are in good agreement, and the difference in simulation results can be reduced by using higher resolution voxels or larger number of samples per pixel. According to our test, parameterizing VBRT using high resolution terrestrial LiDAR data with 0.02 m voxels can produce more accurate results than DART with turbid medium voxels (0.1 m), although VBRT is more computation-intensive due to the use of higher resolution voxels. Our results indicate that VBRT has good potential in modeling radiation transfer in forests, as it is possible to parameterize the model using high density point cloud data such as terrestrial LiDAR data.
关键词	Radiative transfer (RT) Monte Carlo path tracing Voxel High performance computing (HPC) Light detection and ranging (LiDAR)
学科领域	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.1016/j.rse.2017.12.043
收录类别	SCI
语种	英语
WOS关键词	TERRESTRIAL LASER SCANNER ; STRUCTURE-FROM-MOTION ; CANOPY GAP FRACTION ; INDIVIDUAL TREES ; POINT CLOUDS ; LIDAR ; REFLECTANCE ; SIMULATION ; SYSTEM ; AREA
WOS记录号	WOS:000427342700024
出版者	ELSEVIER SCIENCE INC
文献子类	Article
出版地	NEW YORK
EISSN	1879-0704
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41401516, 41401505, 41471363] ; National Science FoundationNational Science Foundation (NSF) [DBI 1356077]
作者邮箱	liwenk3@mail.sysu.edu.cn
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/20568
专题	植被与环境变化国家重点实验室
作者单位	1.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China 2.Univ Calif Merced, Sch Engn, Sierra Nevada Res Inst, Merced, CA 95343 USA 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 4.Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing 100871, Peoples R China 5.Peking Univ, Minist Educ, Key Lab Earth Surface Proc, Beijing 100871, Peoples R China 6.Lab Evolut & Divers Biol EDB, UMR 5174, 118 Route Narbonne, F-31062 Toulouse 9, France
推荐引用方式 GB/T 7714	Li, Wenkai,Guo, Qinghua,Tao, Shengli,et al. VBRT: A novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes[J]. REMOTE SENSING OF ENVIRONMENT,2018,206:318-335.
APA	Li, Wenkai,Guo, Qinghua,Tao, Shengli,&Su, Yanjun.(2018).VBRT: A novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes.REMOTE SENSING OF ENVIRONMENT,206,318-335.
MLA	Li, Wenkai,et al."VBRT: A novel voxel-based radiative transfer model for heterogeneous three-dimensional forest scenes".REMOTE SENSING OF ENVIRONMENT 206(2018):318-335.

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