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A landslide monitoring and early identification method based on multi-data-source SBAS technology

A multi-data source, early identification technology, applied in measurement devices, radio wave measurement systems, radio wave reflection/re-radiation, etc. question

Active Publication Date: 2018-12-07
伟志股份公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, affected by heavy rainfall, landslide geological disasters occur more frequently in Aba Prefecture. Landslide geological disasters have a large impact range, large deformation, and strong suddenness. Conventional measurement methods (such as GPS, precision leveling, etc.) exist The following defects: 1) a large workload in the field; 2) a large amount of manpower, material and financial resources are required; 3) the layout points are affected by the terrain; 4) the degree of automation is not high; no advantage
[0005] At present, although SBAS technology is widely used in landslide disaster monitoring, compared with PSI technology, its accuracy at highly coherent PS points is not high, and in the mountainous area of ​​Aba Prefecture where landslide disasters occur frequently, GPS and level There are also certain difficulties in the layout of the points, which also makes the SBAS technology have no other measurement results for comparison after the measurement results are obtained, and the accuracy of the results cannot be guaranteed

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  • A landslide monitoring and early identification method based on multi-data-source SBAS technology
  • A landslide monitoring and early identification method based on multi-data-source SBAS technology
  • A landslide monitoring and early identification method based on multi-data-source SBAS technology

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Embodiment

[0078] Example: such as figure 1 As shown, a landslide monitoring and early identification method in Aba Prefecture, Sichuan based on multi-data source SBAS technology, including the following steps:

[0079] Step 1. Obtain multiple SAR image data covering the same period of time in the monitoring range;

[0080] Step 2, selection of public main image;

[0081] Step 3, SAR image registration;

[0082] Step 4, selection of interference pairs;

[0083] Step 5, generation of differential interferogram;

[0084] Step 6. Select the stable point on the ground;

[0085] Step 7. Estimating the residual terrain phase;

[0086] Step 8, remove atmospheric phase and residual;

[0087] Step 9: Build a model to invert the settlement rate.

[0088] In step 1 of this embodiment, for mountainous areas, under the conditions of large vegetation coverage and frequent geological disasters such as landslides and earthquakes, in order to monitor large-scale deformation of the surface, and als...

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Abstract

The invention relates to a landslide monitoring and early identification method based on multi-data-source SBAS technology. The method comprises the steps of obtaining multiple SAR image data coveringthe same time period of a monitoring range; common main image selecting; SAR image registration; selecting of interference pairs; generating of a differential interferogram; ground point selecting; estimating of residual topographical phases; removing atmospheric phases and residual errors; and establishing a model-inversion sedimentation rate. In the invention, according to the geographic locations and topographical features, existing different source SAR data of the same region is utilized to carry out landslide deformation monitoring based on small baseline subset technology, and meanwhileground point selection constraints are increased to strengthen the connection between different source data. Differences between the results are narrowed, and the high-precision and high-accuracy inversion results without other checking conditions are achieved, thus providing effective and reliable technical support for the discovery and prevention of landslide geological disasters.

Description

technical field [0001] The invention relates to synthetic aperture radar interferometry technology, in particular to a landslide monitoring and early identification method based on multi-data source SBAS technology. Background technique [0002] Aba Tibetan and Qiang Autonomous Prefecture in Sichuan Province (abbreviated as Aba Prefecture) is located in the northwest of Sichuan Province. Aba Prefecture is located on the southeastern edge of the Qinghai-Tibet Plateau, at the junction of the northern end of the Hengduan Mountains and the alpine valleys in northwestern Sichuan. Its landforms are mainly plateaus and alpine valleys. The southeast is the alpine valley area, the central part is the mountain plain area, and the northwest is the plateau area. Earthquakes occur frequently in Aba Prefecture, such as the "5.12 Wenchuan Earthquake" in 2008 and the "8.8 Jiuzhaigou Earthquake" in 2017, which are among the most influential earthquakes. Aba Prefecture is located in the stru...

Claims

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9023
Inventor 胡波
Owner 伟志股份公司
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