Font Size: a A A

Interpretation And Analysis Of Active Faults’ Image Characteristics Using Multi-source Remote Sensing

Posted on:2015-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:X J XuFull Text:PDF
GTID:2180330503455824Subject:Cartography and Geographic Information Engineering
Abstract/Summary:PDF Full Text Request
Earthquake is a special form of modern crustal movement, active faults and sudden dislocation products, there is also a strong evidence of active tectonics. So the status of development and activity of the active fault has a great practical significance for earthquake monitoring. The use of satellite remote sensing technology distribution and interpretation of fault activity, is an important supplement to active fault detection, which is also one of the important contents of remote sensing geological work. While using the traditional optical remote sensing image data, this paper complements the analysis of brightness temperature feature. We usually choose the thermal infrared remote sensing data, but in the application,the clouds、mist sffect so serious and effective radiation of thermal infrared data becomes lower. Microwave can penetrate clouds and other characteristics, so we try to use the thermal infrared and microwave data to analysis the brightness temperature characteristics of fault.This paper chooses the optical data including MSS, TM\ETM, resources satellite and the brightness temperature data including MODIS, microwave etc., On the basis of previous research, through extracting the macroscopic and microscopic features of faults, We reinterpret and determine the location and activity of fault activity on the main two experimentation area. The interpretation of the five active faults in Tianjin experimentation area, including Hexiwu fault, Jixian County piedmont fault, Baodi fault, Jiyun fault and Tianjin South fault.We interpret the three active faults in the Shigatse experimentation area, including the Gangdise fault, Angren-Renbu falut, Lazi-qiongduojiang fault. The paper also discusses some model. Through statistical analysis, there is a good linear correlation between the infrared brightness temperature and microwave brightness temperature. The correlation between brightness temperature and the thickness of aquifer of the two blocks of the fault, we can analysis active fault development of the plain area. The result of fault extraction using the linear signs of brightness temperature gradient feature can well fit the result using optical images in position.Tianjin area is mainly located in the plain area, the terrain is smaller, the results:(1) MSS image interpretation have better effect and can see the obvious linear features. TM/ETM image color is rich and has the visible obvious fault linear style, by means of principal component analysis and filtering enhancement. CBERS has the advantage in analysis themicroscopic features of fault. Radar image backscatter characteristic, there are signs the indirect solution for extraction of active fault.(2) In infrared image, linear features of fault zone is obvious. The infrared radiation brightness temperature change, internal and external of fault, is mainly influenced by soil water content. Fitting residual mean microwave brightness temperature and infrared brightness temperature is 1.01 k, better fitting precision. But because the microwave data resolution due to its low space exploration effect.Shigatse area is mainly located in the mountains terrain, fault features is clear in images, image interpretation effect is relatively good. The results show:(1) The three EW active faults in compressional thrust, mainly by the Yarlung Zangbo Suture Zone control, reactivity each other change;(2) In the brightness temperature images, the active faults’ location can fit Good in place with the result of using optical image; Infrared brightness temperature gradient changes mainly by the topographic factor of near the active fault...
Keywords/Search Tags:Seismotectonic monitoring, Multi-source remote sensing, Image feature, The brightness temperature gradient, Fault interpretation
PDF Full Text Request
Related items