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Leaf area index (LAI) as an important vegetation biophysical parameter, is one of input parameters in the land surface model, which has a very close relationship with vegetation photosynthesis, evapotranspiration, precipitation and carbon flux exchange process. Crop LAI is a vital agronomic parameter, which can reflect the status of crop growth and predict crop yield. Accurate crop LAI has an important role in crop identification, growth monitoring, and food production estimation. This paper used the China Environmental monitoring Satellite (HJ-1) CCD data to estimate summer corn LAI based on PROSAIL radiative transfer model in Yucheng county, Shandong province, China. The mechanism and impact of leaf and canopy parameters on the canopy reflectance in different bands of HJ-1 CCD data were analyzed quantitatively using the simulated data. The results showed that the LAI estimates had relatively high accuracy with R=0.73, RMSE=0.32, and the PROSAIL model could be used to estimate LAI effectively from the perspective of radiative transfer principle. It can provide reference data for corn LAI estimation and growth monitoring in the study area.
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