The optimization of the crop chlorophyll content indices based on a new LAI determination index

The paper presents a new modification method of chlorophyll content index based on a new LAI index-sLAIDI to solve the problem of chlorophyll content index influenced by LAI. Based on the data stimulated by PROSPECT-SAIL modal and measured data, seven chlorophyll content indices are chosen and divided by sLAIDI^k to reduce the influence of LAI. Based on the stimulated dataset, the normalized standard deviation of chlorophyll content indices are used to evaluate effect of modification to determine the parameter k. Measured dataset are used and to verify result of modification. The result shows that chlorophyll content index divided by sLAIDI^k can improve accuracy of estimation, and parameter k is different for different chlorophyll content indices.