IMHE OpenIR  > 山地表生过程与生态调控重点实验室
Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode
Fan, Weiliang1,2,3,4,5; Li, Jing4; Liu, Qinhuo4; Zhang, Qian6; Yin, Gaifei5; Li, Ainong5; Zeng, Yelu7; Xu, Baodong4; Xu, Xiaojun1,2,3; Zhou, Guomo1,2,3; Du, Huaqiang1,2,3
2018-05-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume10Issue:5Pages:16
AbstractTopographic correction methods rarely consider the canopy parameter effects directly and explicitly for sloping canopies. In order to address this problem, the topographic correction method MFM-GOST2 was developed by implementing the second version of the Geometric-Optical model for Sloping Terrains (the GOST2 model) in the multiple forward mode (MFM) inversion framework. First, a look up table (LUT) was constructed by multiple forward modeling of the GOST2 model; second, the radiance of a remotely sensed image and its corresponding topographic data were used for searching potential canopy parameter combinations from the LUT; and third, the corrected radiance was determined by averaging potential radiances of horizontal canopies from the LUT according to the canopy parameter combinations. The MFM-GOST2 and twelve generally used topographic correction methods were evaluated via a case study by visual analysis, linear relationship analysis, and the rose diagram analysis. The result showed that the MFM-GOST2 method successfully removed most of the topographic effects of a subset image of the Landsat-8 image in a case study. The case study also illustrates that the rose diagram analysis is a good way to evaluate topographic corrections, but the linear relationship analysis cannot be used independently for the evaluations because the decorrelation is not a sufficient condition to determine a successful topographic correction.
Keywordtopographic correction canopy reflectance model sloping forest the GOST2 model multiple forward mode
DOI10.3390/rs10050717
WOS KeywordLANDSAT-TM DATA ; RADIOMETRIC CORRECTION ; MOUNTAINOUS TERRAIN ; BOREAL FOREST ; CLASSIFICATION ; NORMALIZATION ; GOST ; ETM+ ; BRDF
Language英语
Funding ProjectNational Science Foundation of China[41631180/D0106] ; National Science Foundation of China[41601403/D0106] ; National Science Foundation of China[41401418/D0106] ; Zhejiang Provincial Natural Science Foundation of China[LY18D010003] ; Talent Innovation Foundation of Zhejiang AF University[2034020072]
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000435198400059
Funding OrganizationNational Science Foundation of China ; Zhejiang Provincial Natural Science Foundation of China ; Talent Innovation Foundation of Zhejiang AF University
PublisherMDPI
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/23337
Collection山地表生过程与生态调控重点实验室
数字山地与遥感应用中心
Corresponding AuthorZhou, Guomo; Du, Huaqiang
Affiliation1.Zhejiang A&F Univ, State Key Lab Subtrop Silviculture, Linan 311300, Peoples R China
2.Zhejiang A&F Univ, Key Lab Carbon Cycling Forest Ecosyst & Carbon Se, Linan 311300, Peoples R China
3.Zhejiang A&F Univ, Sch Environm & Resources Sci, Linan 311300, Peoples R China
4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
5.Chinese Acad Sci, Inst Mt Hazards & Environm, Res Ctr Digital Mt & Remote Sensing Applicat, Chengdu 610041, Sichuan, Peoples R China
6.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210046, Jiangsu, Peoples R China
7.Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA
First 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
Fan, Weiliang,Li, Jing,Liu, Qinhuo,et al. Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode[J]. REMOTE SENSING,2018,10(5):16.
APA Fan, Weiliang.,Li, Jing.,Liu, Qinhuo.,Zhang, Qian.,Yin, Gaifei.,...&Du, Huaqiang.(2018).Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode.REMOTE SENSING,10(5),16.
MLA Fan, Weiliang,et al."Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode".REMOTE SENSING 10.5(2018):16.
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