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A global multi-decade long-term Leaf area index (LAI) record from remote sensing measurements is required for global change modeling and analysis. The dataset is generated through the fusion of MODIS and historical AVHRR data based on global pixel-based AVHRR SRMODIS LAI relationship which is established with AVHRR data and LAI derived form high quality MODIS observations in the overlapping years...
Leaf area index (LAI) is an essential parameter for monitoring crop growth dynamic. An algorithm, which is based on physical model and neural networks to derive crop LAI from MODIS land surface reflectance, is presented. This algorithm utilizes the directional reflectances instead of the BRDF normalized data to avoid complex BRDF normalization and the error from it. The estimated LAI is compared with...
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