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PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction
Yin, Gaofei1; Li, Ainong1; Wu, Shengbiao2; Fan, Weiliang3; Zeng, Yelu4; Yan, Kai5; Xu, Baodong2; Li, Jing2; Liu, Qinhuo2
2018
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
Volume215Pages:184-198
SubtypeArticle
Contribution Rank1
AbstractRugged terrain distorts optical remote sensing signals, and land-cover classification and biophysical parameter retrieval over mountainous regions must account for topographic effects. Therefore, topographic correction is a prerequisite for many remote sensing applications. In this study, we proposed a semi-physically based and simple topographic correction method for vegetation canopies based on path length correction (PLC). The PLC method was derived from the solution to the classic radiative transfer equation, and the influence of terrain on the radiative transfer process within the canopy is explicitly considered, making PLC physically sound. The radiative transfer equation was simplified to make PLC mathematically simple. Near-nadir observations derived from a Landsat 8 Operational Land Imager (OLI) image covering a mountainous region and wide field-of-view observations derived from simulation using a canopy reflectance model were combined to test the PLC correction method. Multi-criteria were used to provide objective evaluation results. The performances were compared to that of five other methods: CC, SCS + C, and SE, which are empirical parameter-based methods, and SCS and DS, which are semi-physical methods without empirical parameter. All the six methods could significantly reduce the topographic effects. However, SCS showed obvious overcorrection for near-nadir observations. The correction results from D-S showed an obvious positive bias. For near-nadir observations, the performance of PLC was comparable to the well-validated parameter-based methods. For wide field-of-view observations, PLC obviously outperformed all other methods. Because of the physical soundness and mathematical simplicity, PLC provides an efficient approach to correct the terrain-induced canopy BRDF distortion and will facilitate the exploitation of multi-angular information for biophysical parameter retrieval over mountainous regions.
KeywordTopographic effect Path length correction BRDF correction Radiative transfer
DOI10.1016/j.rse.2018.06.009
Indexed BySCI
WOS KeywordLEAF-AREA INDEX ; RADIATIVE-TRANSFER MODEL ; LANDSAT TM IMAGES ; RUGGED TERRAIN ; BIDIRECTIONAL REFLECTANCE ; SATELLITE IMAGERY ; RADIOMETRIC CORRECTION ; COMPLEX TERRAIN ; SOLAR-RADIATION ; BRDF
Language英语
Quartile1区
Funding ProjectNational Natural Science Foundation of China[41631180] ; National Natural Science Foundation of China[41601403] ; National Natural Science Foundation of China[41571373] ; National Natural Science Foundation of China[41401418] ; National Key Research and Development Program of China[2016YFA0600103] ; GF6 Project[30-Y20A03-90030-17/18] ; CAS "Light of West China" program ; Youth Talent Team Program of the Institute of Mountain Hazards and Environment, CAS[SDSQB-2015-02]
TOP
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000440776000015
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China ; GF6 Project ; CAS "Light of West China" Program ; Youth Talent Team Program of the Institute of Mountain Hazards and Environment, CAS
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/23751
Collection数字山地与遥感应用中心
Corresponding AuthorYin, Gaofei; Li, Ainong
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Res Ctr Digital Mt & Remote Sensing Applicat, Chengdu 610041, Peoples R China;
2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China;
3.Zhejiang A&F Univ, Sch Environm & Resources Sci, Linan 311300, Zhejiang, Peoples R China;
4.Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA;
5.China Univ Geosci, Sch Land Sci & Tech, Beijing 100083, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Yin, Gaofei,Li, Ainong,Wu, Shengbiao,et al. PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction[J]. REMOTE SENSING OF ENVIRONMENT,2018,215:184-198.
APA Yin, Gaofei.,Li, Ainong.,Wu, Shengbiao.,Fan, Weiliang.,Zeng, Yelu.,...&Liu, Qinhuo.(2018).PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction.REMOTE SENSING OF ENVIRONMENT,215,184-198.
MLA Yin, Gaofei,et al."PLC: A simple and semi-physical topographic correction method for vegetation canopies based on path length correction".REMOTE SENSING OF ENVIRONMENT 215(2018):184-198.
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