Hyperspectral estimation of chlorophyll-a concentration in soybean based on three-band model

doi:10.7523/jssn.2095-6134.2014.02.006

Abstract

Abstract:

As a key material for plant photosynthesis, Chlorophyll is a proxy for vegetation health. Both vegetation indices and three-band model were used to estimate soybean Chl-a concentration with in situ reflectance for soybean canopy. Furthermore, modified vegetation indices are optimized through interactive data language (IDL) to improve soybean Chl-a estimation accuracy. The results show that three-band model is an effective approach for estimating soybean Chl-a. Compared to the models based on both the original and modified vegetation indices, the three-band model achieves better performance with higher coefficient of determination (R²=0.81).

Key words: chlorophyll-a, three-band model, vegetation index, biochemical parameter

CLC Number:

TP79

SHAO Tiantian, SONG Kaishan, DU Jia. Hyperspectral estimation of chlorophyll-a concentration in soybean based on three-band model[J]. , 2014, 31(2): 176-181.

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