Calibration Method of Subtilis Parameters

Abstract

The invention discloses a method for calibrating hay parameters, which utilizes the PROSAIL model combined with ground measured data to explore reasonable threshold intervals of the physiological and ecological parameters of hay, and completes the value range reference table of key parameters. Firstly, the reflection spectrum of hay and corresponding physiological and ecological parameters are obtained through field measurement, and the parameter range of PROSAIL is set by using the measured hay parameters combined with existing research data, and more than 15,000 sets of data are simulated to extract the hay spectrum. Sensitivity analysis and uncertainty analysis are carried out on the simulated spectrum, the values ​​of low sensitivity parameters are fixed, and the value intervals of high sensitivity parameters are optimized. Finally, with the 99% confidence interval as the standard and the cosine distance as the evaluation function, the OFAT method was used to run the model again, and the cosine distance between the simulated spectrum and the measured spectrum under different values ​​was compared to define the threshold value of the parameters sensitive to subtilis. To provide theoretical basis and basic data for improving the scientific understanding of the traits and characteristics of hay in alpine winter and exploring the technical methods of remote sensing inversion.

Description

technical field [0001] The invention relates to the field of grassland remote sensing, in particular to a method for calibrating parameters of hay. Background technique [0002] Existing grassland monitoring techniques are divided into ground measurement method and estimation method based on remote sensing technology. The ground measurement method sets monitoring stations in the area to be monitored to complete the measurement of the physiological and ecological parameters of the grassland. Among them, parameters such as leaf area index, leaf inclination angle, dry matter content, and water content can be measured at the monitoring station. Photosynthetic pigments (such as chlorophyll, carotenoids, etc.) need to collect grass samples and send them to the laboratory for measurement. The weather station provides the corresponding weather data. [0003] Traditional parameter estimation methods based on remote sensing technology mainly include empirical statistical method and ...

AI Technical Summary

Problems solved by technology

The technical problems to be solved are mainly the shortcomings of the existing vegetation physiological and ecological parameter estimation technology, which is time-consuming, labor-intensive, low in stability and sensitivity, and lacks wide-area universality.

Images