- Qian Cheng: Institute of Agricultural Remote Sensing and Information Application, Zhejiang University, Hangzhou, China. qiancheng525@yahoo.com.cn
This paper studied the correlations between rice leaf area index (LAI), leaf chlorophyll content (CHL. C), hyperspectral data, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and red-edge position (REP). The results showed that LAI had a close correlation with visible and NIR bands, and CHL. C had the highest correlation with red band. A strong non-linear correlation was found between the LAI and REP of two rice varieties. For common rice, REP, EVI and NDVI were well related with LAI, but for hybrid rice, REP and EVI were more sensitive than NDVI to LAI. In 2003, REP, EVI and NDVI were well related with CHL. C.