Estimation of Leaf Area Index and Aboveground Biomass of Spring Maize by MODIS-NDVI

doi:10.11924/j.issn.1000-6850.2014-2384

Chinese Agricultural Science Bulletin ›› 2015, Vol. 31 ›› Issue (6): 80-87.doi: 10.11924/j.issn.1000-6850.2014-2384

Special Issue: 玉米

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Estimation of Leaf Area Index and Aboveground Biomass of Spring Maize by MODIS-NDVI

Liu Ming¹, Feng Rui², Ji Ruipeng², Wu Jinwen², Wang Hongbo², Yu Wenying²

(¹Fushun Meteorological Service, Fushun Liaoning 113006;²Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016)

Received:2014-09-01 Revised:2014-09-24 Accepted:2014-11-07 Online:2015-03-20 Published:2015-03-20

Abstract

Abstract: In order to construct the model of the leaf area index and aboveground biomass of spring maize, the leaf area index and aboveground biomass of spring maize were measured in the field experiments at different growth stage in 9 sites. In order to estimate the LAI and aboveground biomass, ten spectral vegetation indices (NDVI, RVI, DVI, PVI, EVI, GNDVI, RDVI, SAVI, OSAVI and NLI) were extracted from MODIS data. The results showed that the correlation between ten vegetation index and LAI, aboveground biomass was significant, using vegetation index to inverse LAI and aboveground biomass was feasible. Based on regression analysis method and artificial neural network method, LAI and aboveground biomass of spring maize were inversed by using ten vegetation indexes. With regression analysis method and OSAVI, NDVI, the inversion results were better. With artificial neural network method and RVI, DVI, EVI, the inversion accuracy was higher than that of regression analysis method.

Liu Ming,Feng Rui,Ji Ruipeng,Wu Jinwen,Wang Hongbo and Yu Wenying. Estimation of Leaf Area Index and Aboveground Biomass of Spring Maize by MODIS-NDVI[J]. Chinese Agricultural Science Bulletin, 2015, 31(6): 80-87.

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Estimation of Leaf Area Index and Aboveground Biomass of Spring Maize by MODIS-NDVI

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