title: [Correlation analysis of simulated MODIS vegetation indices and rice leaf area index and leaf chlorophyll content].
abstract: 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.
authors.affiliation: Institute of Agricultural Remote Sensing and Information Application, Zhejiang University, Hangzhou, China. qiancheng525@yahoo.com.cn
authors.forename: Qian
authors.initials: Q
authors.lastname: Cheng
authors.forename: Jingfeng
authors.initials: J
authors.lastname: Huang
authors.forename: Renchao
authors.initials: R
authors.lastname: Wang
authors.forename: Yanlin
authors.initials: Y
authors.lastname: Tang
mesh_terms: D018533:Biomass; D002734:Chlorophyll / Q000032:analysis*; D012275:Oryza / Q000254:growth & development / Q000378:metabolism*; D010788:Photosynthesis; D018515:Plant Leaves / Q000737:chemistry*; D013057:Spectrum Analysis
chemical_list: D002734:Chlorophyll