Abstract
Leaf area index (LAI) is an important biophysical parameter, and remote sensing provides the probability for the LAI retrieval. LAI inversion based on the model is the main orientation of the LAI retrieval, and the multi-angle data are important parameters in the model-based inversion. The new airborne multi-angle sensor AMTIS can obtain the simultaneous multi-angle and high-resolution data. Using the AMTIS data based on the three-dimensional radiative transfer model, an inversion experiment on a wheat field in Shunyi was carried out on the basis of the AMTIS multi-angle data and the prior information. And the result was verified with the measured LAI data. The inversion precision and rate were improved by adjusting the soil classification and the matching table. The main errors in the process of inversion are also analyzed in this paper.
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