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![]() | |
刊名 | REMOTE SENSING
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2018-05-01 | |
卷号 | 10期号:5页码:16 |
关键词 | topographic correction canopy reflectance model sloping forest the GOST2 model multiple forward mode |
ISSN号 | 2072-4292 |
DOI | 10.3390/rs10050717 |
英文摘要 | Topographic 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. |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000435198400059 |
内容类型 | 期刊论文 |
源URL | [http://ir.imde.ac.cn/handle/131551/23337] ![]() |
专题 | 成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
通讯作者 | Zhou, Guomo; Du, Huaqiang |
作者单位 | 1.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 |
推荐引用方式 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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