30 October 2009 Variational assimilation to retrieve leaf area index from MODIS time series data
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982G (2009) https://doi.org/10.1117/12.833437
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Currently, how to effectively utilize assimilation technique to retrieve biophysical parameters from time series remote sensing dada has attracted special concern. The assimilation technique is based on a reasonable consideration of the dynamical change rules of biophysical parameters and the time series observational quantities, thereby improving the quality of the retrieved profiles. In this paper, a variational assimilation procedure for retrieving leaf area index from time seires remote sensing data is investigated. The procedure is based on the formulation of an objective function, and SCE-UA optimization method is used to estimate LAI from the MODIS reflectance data with a higher quality in a given time window. A preliminary analysis using MODIS surface reflectance data at some sites was performed to validate this method. And the results show that the algorithm is able to produce temporally continuous LAI product efficiently, and the accuracy of the retrieved LAI has been significantly improved over the MODIS LAI product compared to the field measured LAI data.
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Zhiqiang Xiao, "Variational assimilation to retrieve leaf area index from MODIS time series data", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982G (30 October 2009); doi: 10.1117/12.833437; https://doi.org/10.1117/12.833437
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