Estimation of Rice Canopy LAI with Different Growth Stages Based on Hyperspectral Remote Sensing Data

doi:10.3969/j.issn.1000-6362.2015.06.014

Abstract

Abstract: To explore the relationship between hyperspectral reflectance, vegetation indexes and LAI, the experiment was conducted from 2011 and 2012. Rice canopy hyperspectral data was measured at different growth stages by using the ASD Field Spec Hand Held portable field spectrometer, rice canopy leaf area index (LAI) was collected at the same time by using SUNSCAN canopy analysis system. LAI estimation model was established and the simulation results were compared. The results showed that LAI was better simulated by spectral log form heading stage to maturity stage, but could not simulated by reflectance during the stage of tillering to heading. Among all of vegetation indexes estimation methods, LAI was best simulated by MSAVI (modified soil-adjusted vegetation index) [758, 805], the correlation coefficient between simulating data and testing data was significant (R=0.7754). From the heading stage to maturity stage, LAI was best simulated by MSAVI [758, 817], the correlation coefficient between simulating data and testing data was significant (R=0.6488). The results indicated that MSAVI could simulated LAI of rice at different growth stages.

Key words: Rice, Hyperspectral remote sensing, LAI, Vegetation index, Simulation models

XIN Ming-yue, YIN Hong, CHEN Long, ZHANG Mei-ling, REN Zhi-yong, MIAO Jing. Estimation of Rice Canopy LAI with Different Growth Stages Based on Hyperspectral Remote Sensing Data[J]. Chinese Journal of Agrometeorology, 2015, 36(06): 762-768.

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