Leaf pigment remote sensing inversion method based on FOLIUM model

Abstract

The invention provides a leaf pigment remote sensing inversion method based on a FOLIUM model. The method comprises the steps that 1, on the basis of the FOLIUM model, green leaf LOPEX93 / colorful leaf LOPEX_ZJU data concentrated hemisphere reflection and transmission spectral data, various parameters of the FOLIUM model, a minimum distance spectral fitting method and a least square method optimization method are utilized, and a method for achieving inversion of contents of various pigments corresponding to green / colorful leaves is achieved; 2, the inversion function of the FOLIUM model on all the pigments is elaborated by constructing a scatter diagram by means of measured values and inversion values of all the pigments, and the function of the FOLIUM model is compared with that of a PROSPECT-5 model; 3, comparative evaluation utilizing a accuracy evaluation function root-mean-square error, a deviation, a corrected standard deviation and variation coefficient inversion accuracy is achieved. According to the leaf pigment remote sensing inversion method based on the FOLIUM model, a green / colorful leaf hemisphere reflection and transmission spectra can be utilized for inversion of contents of photosynthetic pigments including chlorophyll a, chlorophyll b and carotenoid or non-photosynthetic pigments including anthocyanin, and compared with the PROSPECT-5 model, the inversion accuracy of total chlorophyll and carotenoid can be improved; physio-ecological characteristics of plant bodies can be monitored more accurately.

Description

technical field [0001] The present invention relates to a method for inverting the content of photosynthetic pigments (chlorophyll a, chlorophyll b and carotenoids) and / or non-photosynthetic pigments (anthocyanidins) using leaf spectral features based on the FOLIUM model, and through LOPEX_ZJU and LOPEX93 data sets The application verification of the corresponding pigment content inversion is carried out on the spectral data. The FOLIUM model helps to more accurately monitor the physiological and ecological characteristics of plants through the effective inversion of the content of photosynthetic pigments and non-photosynthetic pigments in various leaf pigments. Background technique [0002] The pigment content of leaves is directly related to the physiological and ecological characteristics of vegetation. Different plants have different physiological and ecological ratios of leaf pigments under different growth periods and different stress conditions. For example, in matur...

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the existing shortcomings of evaluating the physiological and ecological characteristics of plants through the inversion of single or a small number of pigment content in leaves, and provides a FOLIUM leaf optical radiation transmission model to realize the inversion of photosynthetic pigment and non-photosynthetic pigment content to evaluate plant physiology Multi-color Remote Sensing Inversion Model Method for Ecological Characteristics

Images