A Method for Extracting Seismic Microwave Radiation Anomalies Based on Monthly Mean Background Field

Abstract

The invention discloses a method for extracting seismic microwave radiation anomalies based on the monthly average value background field, which comprises the following steps: determining the satellite microwave radiation remote sensing image data, the research time range and the research area space range according to the time and position of the earthquake case; Select the satellite microwave radiation remote sensing image data for data preprocessing; construct the dynamic monthly average background field of the study area; calculate the seismic microwave radiation anomaly results in the study area. The invention processes the cloud pixels in the microwave radiation observation value through data preprocessing to obtain pure microwave radiation data without clouds, which can improve the reliability of the calculation results; the invention uses satellite microwave radiation remote sensing images of the same date range in different years The data constructs a stable and dynamic rather than a uniform monthly average background field in the study area, and then extracts microwave radiation anomalies according to the actual time and location of the earthquake to improve the rationality and accuracy of the extraction results.

Description

technical field [0001] The invention belongs to the technical field of microwave remote sensing, and in particular relates to a method for extracting seismic microwave radiation anomalies based on a monthly average value background field. Background technique [0002] The intensity of microwave radiation received by the satellite microwave radiometer from the earth's surface depends on the surface temperature and emissivity, while the surface microwave emissivity mainly depends on its dielectric constant and roughness. The upward microwave radiation on the surface is affected by many factors, especially terrain, vegetation, surface water content, and clouds. In addition, the existence of geological disasters (such as earthquakes and volcanic activities) will also cause changes in surface microwave radiation. Surface topography, vegetation, and surface water content have certain stability in a short period of time, while clouds have greater uncertainty, which will lead to cer...

AI Technical Summary

Problems solved by technology

On the one hand, the operating period of the same satellite sensor is often only a few years, and the number of observations on the same date in different years is limited, which greatly reduces the representativeness and robustness of the results obtained after mean value processing; on the other hand, in principle, Although the uplink microwave signal on the surface can penetrate the cloud layer, it does not mean that all the signals received by the satellite microwave radiometer come from the ground, but should come from the joint contribution of various radiation sources in the transmission path between the surface and the atmosphere. To ensure the purity of observations in the study area, as the most important factor in the transmission path of microwave radiation, it is very necessary to eliminate clouds

However, the current technologies and methods have not processed cloud pixels in microwave radiation observations, so reliable and accurate seismic microwave radiation anomaly information cannot be obtained

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