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Bias analysis in validation of MODIS LAI product: A case study in cropland of Huailai, northern China

In the validation of MODIS LAI product, much attention has been paid to directly compare the product data and the reference values, few efforts have been made to analyze the bias of validation result comprehensively. In this paper, based on the evaluation of MODIS LAI product, we further divide the bias into three aspects: algorithm, reflectance data and clumping effect. Moreover, the individual influence on the total bias is quantified. The results of assessment indicate MODIS LAI product has an obvious underestimate, as much as 34.14% in this area compared with reference LAI. Individual influence on the total deviation of each bias is 57.50%, 28.33% and 14.17%, respectively.