Photosynthesis plays a crucial role in crop growth and development,yield formation and dry matter accumulation.Hyperspectral remote sensing inversion technology has become an important method for quantitative analysis of photosynthetic data parameters of crop vegetation due to its advantages of accuracy,speed and non-destruction of vegetation.Quantitative remote sensing inversion of crop photosynthetic parameters can not only understand the growth and development of crops,but also provide reference data for ecosystem inversion models based on remote sensing.This study reviewed the research results of hyperspectral photosynthesis inversion in recent years in scientific literature,mainly introduced the hyperspectral inversion technology of crop photosynthetic parameters and the research status,including hyperspectral data preprocessing,spectral transformation,feature band screening,spectral vegetation index,linear regression model,partial least squares regression(PLSR),machine learning model,BP neural network model and support vector machine(SVM)regression model,etc.,and on this basis,the problems existing in crop photosynthetic hyperspectral inversion are discussed.
hyperspectralphotosynthetic parameterfeature bandmodel,application research
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NSTL
万方数据
