Determination of paddy rice growth indicators with MODIS data and ground-based measurements of LAI

Abstract

The study is about the monitoring index of the growth of paddy rice with remote sensing in use of MODIS data in 2010, drawing 4 vegetation indices, ration vegetation index (RVI), normalized difference vegetation index (NDVI), vegetation condition index (VCI) and enhanced vegetation index (EVI) as remote sensing parameters. The vegetation indexes were selected to inverse LAI and vegetation index of LAI model was established. The study showed, among the vegetation index of LAI models, EVI and NDVI had significant correlations with LAI. The analysis of precision and accuracy using predicted value and actual value showed Cubic model of EVI was superior to the other vegetation and models, so that EVI was chosen as the final monitoring index for monitoring the growth. © 2013. The authors.