Hyperspectral vegetation indices for crop chlorophyll estimation: Assessment, modeling and validation

IGARSS(2012)

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摘要
This study summarizes 12 spectral indices for chlorophyll inversion, including traditional multi-spectral indices and newly published indices constructed based on “Red Edge” (680-750nm) and “Double-Peak” in red edge region. Among them, some are good candidates to resist Leaf Area Index (LAI) variations, but some are not. By using forward model simulations and in-situ measurements data, we systematically tested these indices and picked out the best one which (1) has the highest sensitivity to chlorophyll; (2) has the best resistance to LAI variation. Then predictive equations were developed from simulated data and validated using winter wheat ground measurement data collected in 2011, Yucheng Station at Chinese Academy of Sciences.
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关键词
hyperspectral remote sensing,yucheng station,red edge,winter wheat ground measurement data,crop chlorophyll estimation,forward model simulations,multispectral indices,lai variation,chlorophyll content,chlorophyll inversion,leaf area index variations,crops,chinese academy of sciences,hyperspectral vegetation indices,leaf area index (lai),vegetation mapping,double-peak,red edge region,spectral indices,agriculture,hyperspectral imaging,indexes,reflectivity,mathematical model
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