Multi-angle grassland vegetation leaf area index observation method and instrument

Abstract

The invention discloses a multi-angle grassland vegetation leaf area index observation method and an instrument. Firstly, a vegetation canopy multi-angle observation sensor used for research is calibrated, and each sampling pixel for multi-angle observation has calibrated multi-angle information; then, a lens after calibration is used for vegetation canopy radiation information multi-angle observation and conventional vegetation canopy vertical observation; the canopy multi-angle observation data are used for binary classification on vegetation and non vegetation, and the classification data are used for realizing calculation on a canopy gap rate and an aggregation index; and finally, a leaf area index estimation model built based on a regularization method is used for acquiring the numerical value of the vegetation leaf area and outputting the value. The sensor lens is used for observing the multi-angle radiation information of the grassland vegetation canopy and input data are provided for a numerical value algorithm; and the regularization numerical value calculation process is adopted, and the leaf area index numerical value result calculation algorithm can be realized based on the theoretical process.

Description

technical field [0001] The invention belongs to the technical field of ecological application, and in particular relates to a multi-angle observation method and instrument for grassland vegetation leaf area index. Background technique [0002] The leaf area index is defined as the numerical value of the leaf area on one side of the vegetation per unit area, and is a key parameter indicating the state of the vegetation growth process. The conventional measurement method of the leaf area index of the vegetation canopy in the prior art is to measure the real physical area of ​​the vegetation leaf and then perform numerical calculation based on the relevant calculation method. The results are susceptible to actual operation and there is a high degree of uncertainty. The technical solutions in the prior art also have the following disadvantages: 1. Observation instruments are easily affected by high-intensity scattered light under natural conditions, similar to the phenomenon of...

AI Technical Summary

Problems solved by technology

Aiming at the shortcomings of the prior art such as cumbersome manual measurement of grassland vegetation leaf area index, destructive sampling of grassland vegetation by measurement tools, large error and high uncertainty of final measurement results, the method for calculating grassland vegetation leaf area index proposed by the present invention It has the advantages of high numerical calculation accuracy, exquisite structure of observation instruments and easy operation, which can greatly improve the efficiency of ground tests and practical work

Images