Study on the determination of LAI and biomass of crop by hyperspectral
Yan-Lin Tang, Xiuzhen Wang
Abstract
Yan-Lin Tang, Xiuzhen Wang
Abstract
The canopy hyperspectral reflectances of six varieties in three crops (rice,corn and cotton) were measured in field experiment plots in different stages.The leaf area indices (LAI) and above ground biomass corresponding to the spectra were determined.The correlation between their hyperspectral variables and red edge parameters and the leaf area indices,above ground biomass and leaf mass were analyzed.The results showed that the canopy hyperspectral reflectance of three crops were relating to their growing stages.The maximum value of canopy spectral reflectance was the biggest for cotton and the smallest for rice.Their leaf area indices fresh leaf mass and dry leaf mass were very significantly correlative to the hyperspectral variables ρ_(990)/ρ_(550),ρ_(800)/ρ_(550),ρ_(750)/ρ_(550),ρ_(800)/ρ_(680) and the red edge parameters λ_r and Dλ_r of their canopy spectra,but the correlation between above ground fresh biomass,above ground dry biomass and above hyperspectral variables and red edge parameters were different.This indicated that it is feasible for estimating LAI,above ground fresh biomass,fresh leaf mass and dry leaf mass of rice,corn and cotton by hyperspectral remote sensing.
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The canopy hyperspectral reflectances of six varieties in three crops (rice,corn and cotton) were measured in field experiment plots in different stages.The leaf area indices (LAI) and above ground biomass corresponding to the spectra were determined.The correlation between their hyperspectral variables and red edge parameters and the leaf area indices,above ground biomass and leaf mass were analyzed.The results showed that the canopy hyperspectral reflectance of three crops were relating to their growing stages.The maximum value of canopy spectral reflectance was the biggest for cotton and the smallest for rice.Their leaf area indices fresh leaf mass and dry leaf mass were very significantly correlative to the hyperspectral variables ρ_(990)/ρ_(550),ρ_(800)/ρ_(550),ρ_(750)/ρ_(550),ρ_(800)/ρ_(680) and the red edge parameters λ_r and Dλ_r of their canopy spectra,but the correlation between above ground fresh biomass,above ground dry biomass and above hyperspectral variables and red edge parameters were different.This indicated that it is feasible for estimating LAI,above ground fresh biomass,fresh leaf mass and dry leaf mass of rice,corn and cotton by hyperspectral remote sensing.
Key concepts: Hyperspectral imaging, Canopy, Red edge, Biomass (ecology), Dry weight, Environmental science, Crop, Agronomy