A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios

Zeng, Y; Li, J; Liu, Q; Huete, AR; Yin, G; Xu, B; Fan, W; Zhao, J; Yan, K; Mu, X

A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios

Zeng, Y Li, J Liu, Q Huete, AR Yin, G Xu, B Fan, W Zhao, J Yan, K Mu, X

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Publisher:: IEEE
Publication Type:: Journal Article
Citation:: IEEE Transactions on Geoscience and Remote Sensing, 2016, 54, (8), pp. 4613-4628
Issue Date:: 2016-04-15

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Field	Value	Language
dc.contributor.author	Zeng, Y
dc.contributor.author	Li, J
dc.contributor.author	Liu, Q
dc.contributor.author	Huete, AR
dc.contributor.author	Yin, G
dc.contributor.author	Xu, B
dc.contributor.author	Fan, W
dc.contributor.author	Zhao, J
dc.contributor.author	Yan, K
dc.contributor.author	Mu, X
dc.date.accessioned	2022-03-18T04:12:43Z
dc.date.available	2022-03-18T04:12:43Z
dc.date.issued	2016-04-15
dc.identifier.citation	IEEE Transactions on Geoscience and Remote Sensing, 2016, 54, (8), pp. 4613-4628
dc.identifier.issn	0196-2892
dc.identifier.issn	1558-0644
dc.identifier.uri	http://hdl.handle.net/10453/155332
dc.description.abstract	Landscape 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.
dc.language	English
dc.publisher	IEEE
dc.relation.ispartof	IEEE Transactions on Geoscience and Remote Sensing
dc.relation.isbasedon	10.1109/TGRS.2016.2547326
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0404 Geophysics, 0906 Electrical and Electronic Engineering, 0909 Geomatic Engineering
dc.subject.classification	Geological & Geomatics Engineering
dc.title	A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios
dc.type	Journal Article
utslib.citation.volume	54
utslib.for	0909 Geomatic Engineering
utslib.for	0404 Geophysics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0909 Geomatic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2022-03-18T04:12:41Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	54
utslib.citation.issue	8

Abstract:

Landscape 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.

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