Forest biomass amount retrieval method based on collaboration of optical reflection model and microwave scattering model

Abstract

The invention provides a forest biomass amount retrieval method based on collaboration of an optical reflection model and a microwave scattering model. The forest biomass amount retrieval method comprises the following steps: 1) establishing an optical-microwave radiation transmission collaborative model by comparing the difference between the optical reflection model and the microwave scattering model; 2) establishing an optical bidirectional reflection and microwave back scattering characteristic databank and a corresponding over-ground forest biomass parameter bank of a forest based on an individual growth model and the optical-microwave radiation transmission collaborative model; 3) respectively establishing a unisource optical model and a unisource microwave model for biomass retrieval based on an optical-microwave collaborative simulation databank; 4) through sensitivity analysis on optical and microwave key factors, confirming respective weights of the optical and microwave data in the collaborative model, thereby establishing an optical-microwave collaborative model for AGB retrieval. According to the forest biomass amount retrieval method, optical remote sensing data and microwave remote sensing data are combined, the advantages of the optical remote sensing data and the microwave remote sensing data in biomass retrieval are put into full play sufficiently, and the quantitative retrieval precision of the over-ground frost biomass amount is effectively improved.

Description

technical field [0001] The invention relates to an inversion method, in particular to a forest biomass (AGB) inversion method in which an optical reflection model and a microwave scattering model are coordinated. Background technique [0002] Aboveground biomass of forests plays an important role in indicating the carbon sequestration capacity and carbon storage of forest ecosystems. In the International Geosphere-Biosphere Research Program (IGBP), the carbon cycle is identified as one of the programs of Global Change and Terrestrial Ecosystems (GCTE). important research content. Therefore, accurate extraction of forest aboveground biomass is of great significance for the study of global change and terrestrial ecosystems. [0003] The traditional forest aboveground biomass monitoring method, which uses manual sampling and measurement as the main technical means, has the disadvantages of time-consuming and labor-intensive, many interference factors, and low estimation accura...

AI Technical Summary

Problems solved by technology

Although many scholars at home and abroad have used optical and microwave remote sensing technology to conduct a lot of research on forest aboveground biomass retrieval, due to the limitations of optical and microwave remote sensing, the accuracy of biomass quantitative retrieval is still difficult to meet the needs of industrial applications

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