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Method for monitoring earthquakes based on digital elevation model data

A digital elevation model and data monitoring technology, applied in remote sensing data and earthquake fields, can solve problems such as unmanned, and achieve the effect of reducing costs and human resources, and reducing the scope of prediction

Inactive Publication Date: 2019-07-12
CAPITAL NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the application of DEM data only needs to focus on regional terrain analysis, and the application of monitoring terrain changes through DEM data to predict the specific and detailed locations of earthquakes several years or decades in advance has not yet been involved.

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  • Method for monitoring earthquakes based on digital elevation model data

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Embodiment Construction

[0020] The present invention proposes a method for monitoring earthquakes based on digital elevation model data, which will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] The present invention proposes a method for monitoring earthquakes based on digital elevation model data. The overall process is as follows figure 1 shown, including the following steps:

[0022] 1) Splicing and cutting the digital elevation model DEM data acquired in two different years in the study area to obtain the cut DEM data of each year; the specific steps are as follows:

[0023] 1.1) Obtain high-precision (accuracy better than 90m) DEM of the research area (that is, the area where earthquakes need to be monitored) in two different years (the interval between the two years is about five to ten years) from the official website of DEM data or UAV Data, since the acquired DEM data is block-shaped, it is necessary to stitch these blo...

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Abstract

The invention provides a method for monitoring earthquakes based on digital elevation model data, and belongs to the field of remote sensing data and earthquakes. The method comprises the following steps: firstly, splicing and cutting DEM (Digital Elevation Model) data of different years in a research area to obtain cut DEM data of each year, extracting DEM data difference values of all areas in the research area, and generating raster data of elevation change values of all the areas; processing the raster data, and generating planar vector data of DEM data change values of each area of the research area; combining the planar vector data and then smoothing the combined planar vector data to generate smoothed planar vector data in area elevation change distribution, wherein the area corresponding to the maximum value of the smoothed planar vector data in area elevation change distribution is the place where earthquakes most possibly occur. According to the method, through high-precisionDEM data, the distribution condition of elevation changes of a research area is accurately extracted, terrain changes before earthquakes are effectively reflected, and therefore the effect of monitoring the earthquakes is achieved.

Description

technical field [0001] The invention belongs to the field of remote sensing data and earthquakes, in particular to a method for monitoring earthquakes based on digital elevation model data. Background technique [0002] Strong earthquakes can cause serious loss of life and property, and it is still a worldwide problem to accurately monitor and predict when and where earthquakes will occur. Exploring and understanding the places where earthquakes may occur is of great significance for reducing the damage caused by earthquakes and promoting the research of earthquake monitoring. In addition, it can also provide scientific data reference and opinions for relevant national departments to formulate earthquake prevention measures in time. At present, the evaluation of the possible places where earthquakes may occur is mainly based on the study of the seismic belt area to predict the large-scale areas that may occur in hundreds of square kilometers or larger. This method is very i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/00G06T17/05
CPCG06T17/05G01V1/01
Inventor 张静曹阳宋永雨张朦赖月群马思杰张佩琪玉素浦
Owner CAPITAL NORMAL UNIVERSITY
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