Retrieval of leaf area index based on the multi-type remote sensing data

Compared with the traditional remote sensing, multi-angular observation could get the detailed three-dimensional structural information of forest through different directional observations, which provides a new method for quantitative remote sensing. In this paper the look-up table was constructed according with the different kinds of remote sensing model. The mixed pixel model was used as TM/ETM+ data was used ,and the appropriate physical model was used according to the different forest sense as CHRIS data was used.Base on the model the look-up tables were constructed,and the leaf area index was retrieved from the different kinds of data making use of interpolation. Comparing the LAI(Leaf Area Index) with MODIS 15A2 LAI, the result shows that the result compares well with the measured LAI in Changbai sample plots, and the multi-angle remote sensing can improve the precision of retrieval of conifer LAI, so there is a certain theoretical research and practical application value.