A forest microwave remote sensing method and system for monitoring the moisture content of ground dead combustible materials

By constructing a dielectric-energy coupling balance equation and a machine learning model, the problems of two-way attenuation effect and difficulty in obtaining micro-parameters in monitoring the moisture content of dead combustibles on the forest surface were solved, achieving high-precision and automated monitoring results.

CN121687261BActive Publication Date: 2026-06-26ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER
Filing Date
2025-12-11
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies for monitoring the moisture content of dead combustibles on the forest surface neglect the two-way attenuation effect and have difficulty obtaining microscopic parameters, resulting in large monitoring errors in humid environments. Traditional linear models fail, making it difficult to meet the requirements for high-precision monitoring.

Method used

By constructing a dielectric and energy coupling balance equation that takes into account the two-way attenuation effect, and combining it with machine learning to build a soil background scattering prediction model, the dielectric and energy coupling balance equation is used to characterize the nonlinear relationship between the total backscattering coefficient and the surface dead combustible water content. An interval search algorithm is used to solve the inversion results to ensure the physical authenticity and accuracy of the monitoring.

Benefits of technology

It achieves high-precision monitoring under complex hydrothermal conditions, avoids water content estimation errors caused by benchmark errors and model failures, and improves the robustness and automation level of monitoring.

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Abstract

The present application belongs to the technical field of data processing, and particularly relates to a forest microwave remote sensing ground surface dead combustible moisture content monitoring method and system, which comprises the following steps: constructing a soil background scattering prediction model by using historical time series data, and obtaining the soil background scattering coefficient under the current environment; constructing a dielectric and energy coupling balance equation considering the two-way attenuation effect, and introducing a water impedance attenuation function and a water gain scattering function; constructing a residual target function according to the total backscattering coefficient observed by a satellite and the soil background scattering coefficient, and using a constrained interval search algorithm to invert the ground surface dead combustible moisture content. The present application decouples the soil background and the dead combustible signal, solves the problem that the traditional linear additive model is invalid in a humid environment, and realizes the accurate monitoring of the ground surface dead combustible moisture content under complex water and heat conditions.
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