Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model

Interpreting remotely-sensed data requires realistic, but simple, models of radiative transfer that occurs within a vegetation canopy. In this paper, an improved version of the stochastic radiative transfer model (SRTM) is proposed by assuming that all photons that have not been specularly reflected...

Full description

Bibliographic Details
Main Authors: Bin Yang, Yuri Knyazikhin, Donghui Xie, Haimeng Zhao, Junqiang Zhang, Yi Wu
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/10/1632
_version_ 1818997859109830656
author Bin Yang
Yuri Knyazikhin
Donghui Xie
Haimeng Zhao
Junqiang Zhang
Yi Wu
author_facet Bin Yang
Yuri Knyazikhin
Donghui Xie
Haimeng Zhao
Junqiang Zhang
Yi Wu
author_sort Bin Yang
collection DOAJ
description Interpreting remotely-sensed data requires realistic, but simple, models of radiative transfer that occurs within a vegetation canopy. In this paper, an improved version of the stochastic radiative transfer model (SRTM) is proposed by assuming that all photons that have not been specularly reflected enter the leaf interior. The contribution of leaf specular reflection is considered by modifying leaf scattering phase function using Fresnel reflectance. The canopy bidirectional reflectance factor (BRF) estimated from this model is evaluated through comparisons with field-measured maize BRF. The result shows that accounting for leaf specular reflection can provide better performance than that when leaf specular reflection is neglected over a wide range of view zenith angles. The improved version of the SRTM is further adopted to investigate the influence of leaf specular reflection on the canopy radiative regime, with emphases on vertical profiles of mean radiation flux density, canopy absorptance, BRF, and normalized difference vegetation index (NDVI). It is demonstrated that accounting for leaf specular reflection can increase leaf albedo, which consequently increases canopy mean upward/downward mean radiation flux density and canopy nadir BRF and decreases canopy absorptance and canopy nadir NDVI when leaf angles are spherically distributed. The influence is greater for downward/upward radiation flux densities and canopy nadir BRF than that for canopy absorptance and NDVI. The results provide knowledge of leaf specular reflection and canopy radiative regime, and are helpful for forward reflectance simulations and backward inversions. Moreover, polarization measurements are suggested for studies of leaf specular reflection, as leaf specular reflection is closely related to the canopy polarization.
first_indexed 2024-12-20T21:52:19Z
format Article
id doaj.art-78b4610a76714bad89ea075eb2fbeb6b
institution Directory Open Access Journal
issn 2072-4292
language English
last_indexed 2024-12-20T21:52:19Z
publishDate 2018-10-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj.art-78b4610a76714bad89ea075eb2fbeb6b2022-12-21T19:25:32ZengMDPI AGRemote Sensing2072-42922018-10-011010163210.3390/rs10101632rs10101632Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer ModelBin Yang0Yuri Knyazikhin1Donghui Xie2Haimeng Zhao3Junqiang Zhang4Yi Wu5College of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaDepartment of Earth and Environment, Boston University, 685 Commonwealth Avenue, Boston, MA 02215, USAState Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing 100875, ChinaGuangxi Colleges and Universities Key Laboratory of Unmanned Aerial Vehicle (UAV) Remote Sensing, Guilin University of Aerospace Technology, Guilin 541004, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaGuangxi Zhuang Autonomous Region Environmental Monitoring Centre, Nanning 530028, ChinaInterpreting remotely-sensed data requires realistic, but simple, models of radiative transfer that occurs within a vegetation canopy. In this paper, an improved version of the stochastic radiative transfer model (SRTM) is proposed by assuming that all photons that have not been specularly reflected enter the leaf interior. The contribution of leaf specular reflection is considered by modifying leaf scattering phase function using Fresnel reflectance. The canopy bidirectional reflectance factor (BRF) estimated from this model is evaluated through comparisons with field-measured maize BRF. The result shows that accounting for leaf specular reflection can provide better performance than that when leaf specular reflection is neglected over a wide range of view zenith angles. The improved version of the SRTM is further adopted to investigate the influence of leaf specular reflection on the canopy radiative regime, with emphases on vertical profiles of mean radiation flux density, canopy absorptance, BRF, and normalized difference vegetation index (NDVI). It is demonstrated that accounting for leaf specular reflection can increase leaf albedo, which consequently increases canopy mean upward/downward mean radiation flux density and canopy nadir BRF and decreases canopy absorptance and canopy nadir NDVI when leaf angles are spherically distributed. The influence is greater for downward/upward radiation flux densities and canopy nadir BRF than that for canopy absorptance and NDVI. The results provide knowledge of leaf specular reflection and canopy radiative regime, and are helpful for forward reflectance simulations and backward inversions. Moreover, polarization measurements are suggested for studies of leaf specular reflection, as leaf specular reflection is closely related to the canopy polarization.http://www.mdpi.com/2072-4292/10/10/1632leaf specular reflectionradiative regimestochastic radiative transfer model (SRTM)polarization measurements
spellingShingle Bin Yang
Yuri Knyazikhin
Donghui Xie
Haimeng Zhao
Junqiang Zhang
Yi Wu
Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model
Remote Sensing
leaf specular reflection
radiative regime
stochastic radiative transfer model (SRTM)
polarization measurements
title Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model
title_full Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model
title_fullStr Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model
title_full_unstemmed Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model
title_short Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model
title_sort influence of leaf specular reflection on canopy radiative regime using an improved version of the stochastic radiative transfer model
topic leaf specular reflection
radiative regime
stochastic radiative transfer model (SRTM)
polarization measurements
url http://www.mdpi.com/2072-4292/10/10/1632
work_keys_str_mv AT binyang influenceofleafspecularreflectiononcanopyradiativeregimeusinganimprovedversionofthestochasticradiativetransfermodel
AT yuriknyazikhin influenceofleafspecularreflectiononcanopyradiativeregimeusinganimprovedversionofthestochasticradiativetransfermodel
AT donghuixie influenceofleafspecularreflectiononcanopyradiativeregimeusinganimprovedversionofthestochasticradiativetransfermodel
AT haimengzhao influenceofleafspecularreflectiononcanopyradiativeregimeusinganimprovedversionofthestochasticradiativetransfermodel
AT junqiangzhang influenceofleafspecularreflectiononcanopyradiativeregimeusinganimprovedversionofthestochasticradiativetransfermodel
AT yiwu influenceofleafspecularreflectiononcanopyradiativeregimeusinganimprovedversionofthestochasticradiativetransfermodel