Abstract
Leaf area index (LAI) is a key variable to reflect crop growth status and forecast crop yield. Many spectral vegetation indices (SVIs) suffer the saturation effect which limits the usefulness of optical remote sensing for crop LAI retrieval. Besides, leaf chlorophyll concentration and soil background reflectance are also two main factors to influence crop LAI retrieval using SVIs. In order to make better use of SVIs for crop LAI retrieval, it is significant to evaluate the performances of SVIs under varying conditions. In this context, PROSPECT and SAILH models were used to simulate a wide range of crop canopy reflectance in an attempt to conduct a comparative analysis. The sensitivity function was introduced to investigate the sensitivity of SVIs over the range of LAI. This sensitivity function is capable of quantifying the detailed relationship between SVIs and LAI. It is different with the regression based statistical parameters, such as coefficient of determination and root mean square, can only evalu...
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