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

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 distribution function (BRDF) has been gradually reco...

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Main Authors: Jianguang Wen, Qiang Liu, Qing Xiao, Qinhuo Liu, Dongqin You, Dalei Hao, Shengbiao Wu, Xingwen Lin
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/3/370
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spelling doaj-a18bf3e847a04bef8b9fcf412cd0f4e12020-11-24T22:34:19ZengMDPI AGRemote Sensing2072-42922018-02-0110337010.3390/rs10030370rs10030370Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent DevelopmentsJianguang Wen0Qiang Liu1Qing Xiao2Qinhuo Liu3Dongqin You4Dalei Hao5Shengbiao Wu6Xingwen Lin7State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaJoint Center for Global Change Studies (JCGCS), Beijing 100875, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaRugged 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 distribution function (BRDF) has been gradually recognized in the remote sensing community, and great efforts have been dedicated to build BRDF models over various terrain types. However, on rugged terrain, the topography intensely affects the shape and magnitude of the BRDF and creates challenges in modeling the BRDF. In this paper, after a brief introduction of the theoretical background of the BRDF over rugged terrain, the status of estimating land surface BRDF properties over rugged terrain is comprehensively reviewed from a historical perspective and summarized in two categories: BRDFs describing solo slopes and those describing composite slopes. The discussion focuses on land surface reflectance retrieval over mountainous areas, the difference in solo slope and composite slope BRDF models, and suggested future research to improve the accuracy of BRDFs derived with remote sensing satellites.http://www.mdpi.com/2072-4292/10/3/370anisotropic reflectanceBRDFrugged terrainsolo slopecomposite slope
collection DOAJ
language English
format Article
sources DOAJ
author Jianguang Wen
Qiang Liu
Qing Xiao
Qinhuo Liu
Dongqin You
Dalei Hao
Shengbiao Wu
Xingwen Lin
spellingShingle Jianguang Wen
Qiang Liu
Qing Xiao
Qinhuo Liu
Dongqin You
Dalei Hao
Shengbiao Wu
Xingwen Lin
Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments
Remote Sensing
anisotropic reflectance
BRDF
rugged terrain
solo slope
composite slope
author_facet Jianguang Wen
Qiang Liu
Qing Xiao
Qinhuo Liu
Dongqin You
Dalei Hao
Shengbiao Wu
Xingwen Lin
author_sort Jianguang Wen
title Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments
title_short Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments
title_full Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments
title_fullStr Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments
title_full_unstemmed Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments
title_sort characterizing land surface anisotropic reflectance over rugged terrain: a review of concepts and recent developments
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-02-01
description 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 distribution function (BRDF) has been gradually recognized in the remote sensing community, and great efforts have been dedicated to build BRDF models over various terrain types. However, on rugged terrain, the topography intensely affects the shape and magnitude of the BRDF and creates challenges in modeling the BRDF. In this paper, after a brief introduction of the theoretical background of the BRDF over rugged terrain, the status of estimating land surface BRDF properties over rugged terrain is comprehensively reviewed from a historical perspective and summarized in two categories: BRDFs describing solo slopes and those describing composite slopes. The discussion focuses on land surface reflectance retrieval over mountainous areas, the difference in solo slope and composite slope BRDF models, and suggested future research to improve the accuracy of BRDFs derived with remote sensing satellites.
topic anisotropic reflectance
BRDF
rugged terrain
solo slope
composite slope
url http://www.mdpi.com/2072-4292/10/3/370
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