Leaf area index retrieval method and system based on fusion of phenology data and remote sensing data

Abstract

The invention provides a leaf area index inversion method and system of merged phenological data and remote sensing data. The method comprises the steps of setting multiple sampling points used for observation in a target area, using a plant canopy analyzer for measuring leaf area indexes of plants in all the sampling points in the target area under the scattered light meteorological condition, and recording the vegetation phenological phase of the target area in the measurement process; averaging each sampling point, and obtaining the true leaf area index of the corresponding sampling point; obtaining multispectral remote sensing images observed during the same time period in the same target area, conducting pre-processing, obtaining true reflectivity images, and calculating the vegetation index of each sampling point; utilizing the vegetation indexes and the true leaf area indexes for conducting relevant analysis, and obtaining a quantitative relation model corresponding to the vegetation phenological phase of the target area in the measurement process; according to the model, conducting inversion analysis on the plant growth state of the target area during the corresponding vegetation phenological phase. By means of the leaf area index inversion method and system of the merged phenological data and the remote sensing data, dynamic monitoring of the large-area long-period vegetation leaf area indexes can be satisfied, the problem of field measurement is solved, and agricultural and forestry application requirements are met.

Description

technical field [0001] The invention belongs to the field of information extraction of remote sensing image data, and relates to a leaf area index inversion method and system. Background technique [0002] Leaf Area Index LAI (Leaf Area Index) refers to the ratio of the total area of ​​leaves of an aboveground plant to the area occupied, and is one of the key parameters in ecological research. The traditional method of measuring LAI cannot overcome its inherent defects: it consumes time, manpower and material resources, it is difficult to apply to a large research scope, and it will have a certain destructive effect on the ecological environment, and it cannot update the data in time. At present, among the measurement methods of LAI, there are many researches on the indirect optical model measurement method, which mainly studies the porosity, that is, the probability that the solar radiation in the canopy is not intercepted, and then a series of canopy LAI analysis instrumen...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of the existing artificial field measurement of vegetation canopy LAI, which is time-consuming and labor-intensive, and difficult to obtain results quickly and accurately in real time, the purpose of the present invention is to provide a vegetation leaf area index inversion based on the fusion of ground phenology observation data and simultaneous remote sensing data Technical solutions

Images