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A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios
Zeng, Yelu1,2,3; Li, Jing1,4,5; Liu, Qinhuo1,4,5; Huete, Alfredo R.6; Yin, Gaofei7; Xu, Baodong1,2,3; Fan, Weiliang8; Zhao, Jing1,4,5; Yan, Kai1,4,5; Mu, Xihan1,4,5
Corresponding AuthorLi, Jing ; Liu, Qinhuo
2016
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
EISSN1558-0644
Volume54Issue:8Pages:4613-4628
SubtypeArticle
AbstractLandscape heterogeneity is a common natural phenomenon but is seldom considered in current radiative transfer (RT) models for predicting the surface reflectance. This paper developed an analytical RT model for heterogeneous Agro-Forestry scenarios (RTAF) by dividing the scenario into nonboundary regions (NRs) and boundary regions (BRs). The scattering contribution of the NRs can be estimated from the scattering-by-arbitrarily-inclined-leaves-with-the-hot-spot-effect model as homogeneous canopies, whereas that of the BRs is calculated based on the bidirectional gap probability by considering the interactions and mutual shadowing effects among different patches. The multiangular airborne observations and discrete-anisotropic-RT model simulations were used to validate and evaluate the RTAF model over an agro-forestry scenario in the Heihe River Basin, China. The results suggest that the RTAF model can accurately simulate the hemispherical-directional reflectance factors (HDRFs) of the heterogeneous scenarios in the red and near-infrared (NIR) bands. The boundary effect can significantly influence the angular distribution of the HDRFs and consequently enlarge the HDRF variations between the backward and forward directions. Compared with the widely used dominant cover type (DCT) and spectral linear mixture (SLM) models, the RTAF model reduced the maximum relative error from 25.7% (SLM) and 23.0% (DCT) to 9.8% in the red band and from 19.6% (DCT) and 13.7% (SLM) to 8.7% in the NIR band. The RTAF model provides a promising way to improve the retrieval of biophysical parameters (e.g., leaf area index) from remote sensing data over heterogeneous agro-forestry scenarios.
KeywordAgro-forestry Scenario Canopy Structure Hemispherical-directional Reflectance Factor (Hdrf) Heterogeneity Radiative Transfer (Rt)
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1109/TGRS.2016.2547326
WOS Subject ExtendedGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
Indexed BySCI
WOS KeywordLEAF-AREA INDEX ; LAND-SURFACE TEMPERATURE ; FOREST REFLECTANCE MODEL ; CANOPY REFLECTANCE ; DIRECTIONAL REFLECTANCE ; CORRECT ESTIMATION ; RETRIEVAL ; IMPACT ; INFORMATION ; SIMULATION
Language英语
Quartile2区
TOP
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000381434600021
Funding OrganizationCAS/SAFEA(KZZD-EW-TZ-09) ; National Basic Research Program of China(2013CB733401) ; National Natural Science Foundation of China(41271366 ; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China ; Joint Center for Global Change Studies, Beijing, China ; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China ; Beijing Normal University, Beijing, China ; 41401418/D0106)
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Cited Times:19[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/17630
Collection数字山地与遥感应用中心
Affiliation1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
2.Joint Ctr Global Change Studies, Beijing 100875, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
4.Beijing Normal Univ, Beijing 100875, Peoples R China
5.Joint Ctr Global Change Studies, Beijing 100875, Peoples R China
6.Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster C3, Sydney, NSW 2007, Australia
7.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
8.Zhejiang A&F Univ, Sch Environm & Resources Sci, Linan 311300, Peoples R China
Recommended Citation
GB/T 7714
Zeng, Yelu,Li, Jing,Liu, Qinhuo,et al. A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2016,54(8):4613-4628.
APA Zeng, Yelu.,Li, Jing.,Liu, Qinhuo.,Huete, Alfredo R..,Yin, Gaofei.,...&Mu, Xihan.(2016).A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,54(8),4613-4628.
MLA Zeng, Yelu,et al."A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 54.8(2016):4613-4628.
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