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- W2379160137 abstract "Sensitivity analysis is the first step of remote sensing inversion.The sensitivity of canopy spectra to canopy structural parameters under local and global methods was calculated based on multi-temporal data in the paper.To demonstrate how the relationship between input parameters influences the model output and sensitivity results,the experiment was carried out in winter wheat in Beijing suburb during 2005-2006 and the measuring data were acquired on 7th April,19th April,27th April and 10th May 2006 individually.Two sensitivity methods were employed to analyze the uncertainty and sensitivity of radiative transfer model(PROSAIL):local and global sensitivity analysis.First,the relationship between input parameters was investigated according to observational field data.Then,the canopy spectra were simulated using PROSAIL model under local and global methods and were compared with measuring canopy spectral.Last,based on the uncertainty and sensitivity analysis matrix results,the sensitivity of PROSAIL model to LAI was analyzed under the two methods during the four phonological stages.The results showed that as winter wheat grows,the accuracy of simulated spectra is improved,meaning the model uncertainty decreases,and the sensitivity of vegetation indexes to LAI also decreases.Compared with results under local sensitivity analysis method,the model uncertainty decreases and the sensitivity of spectra to LAI obviously changes,but that of vegetation indexes is relatively stable.Compared with NDVI,TGDVI is more sensitive to LAI." @default.
- W2379160137 created "2016-06-24" @default.
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- W2379160137 date "2009-01-01" @default.
- W2379160137 modified "2023-09-24" @default.
- W2379160137 title "Sensitivity Analysis of Canopy Spectra to Canopy Structural Parameters Based on Multi-temporal Data" @default.
- W2379160137 hasPublicationYear "2009" @default.
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