Method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform

Abstract

The invention relates to a method for inverting vegetation parameters by remote sensing based on reflection spectrum wavelet transform. The method comprises the following steps of: 1) acquiring the vegetation parameters and the original spectrum thereof under different conditions, and performing spectrum transform on the original spectrum; 2) performing continuous wavelet transform on the original spectrum by using different wavelet functions, and generating wavelet coefficients with different frequencies; 3) performing stepwise regression by taking different scales of wavelet coefficients as independent variables and taking the vegetation parameters as dependent variables, selecting spectrum wave bands needed by the inversion of the vegetation parameters, constructing a model of quantitative inversion of the vegetation parameters, and calculating R2 of the model; and 4) comparing modeling R2 of the constructed model according to different wavelet decomposition scales, and determining the model with the maximum modeling R2 as the optimal model. By the method, the hyperspectral remote sensing inversion precision of the vegetation parameters can be obviously improved, and the remote sensing inversion precision of biochemical parameters can be improved preferably. The method has wide parameter applicability, is applicable to leaf or canopy reflection spectrum, and is applicable to satellite remote sensing hyperspectral data.

Description

technical field [0001] The invention relates to the field of hyperspectral remote sensing monitoring and quantitative inversion, in particular to a vegetation parameter remote sensing inversion method based on reflection spectrum wavelet transform. Background technique [0002] Vegetation parameters are classified into two categories: biophysical parameters and biochemical parameters (biochemical parameters). Biophysical parameters include biomass, leaf area index, coverage, plant height, leaf inclination, etc.; biochemical parameters include chlorophyll, nitrogen, protein, lignin, etc. Different biochemical parameters have different absorption-reflection characteristics, manifested as different absorption-reflection peaks and valleys, and these absorption-reflection peaks and valleys have characteristics such as size and depth, that is, they have different scale characteristics. The current remote sensing inversion is to use the original spectrum or the derivative, pseudo-...

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Problems solved by technology

[0003] In order to solve the problem that the existing biochemical parameter inversion method does not consider the spectral scale effect and the biochemical parameter inversion accuracy is not high, the present invention provides a vegetation biochemical parameter remote sensing based on reflection spectrum wavelet transform that considers spectral scale characteristics and has high precision inversion method

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