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Locating the Middle Part of Lintong-Chang’an Fault in Shaanxi with Envisat-1 and ETM Remote-Sensing Data Mergence

JING Yan1,2，FENG Xi-jie3，DAI Wang-qiang3，SHI Ya-qin3，HAN Heng-yue3，LI Xiao-ni3，WANG Feng4   

  1. 1.Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China;2.School of the Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;3.Shaanxi Earthquake Administration，Xi’an 710068，China;4.Department of Personnet & Science & Technology,China Earthquake Administration, Beijing 100086, China
  • Received:2007-10-30 Revised:1900-01-01 Online:2008-05-26 Published:2008-05-26
  • Contact: JING Yan

Abstract: Basing on the character of the penetrability of Envisat-1 image, many tests on remote-sensing data mergence with Envisat-1 and ETM image are done in our research. From the attempts, the multiplied image of Envisat-1 and ETM data is found to be better than other mergence image to delineate shallow buried faults. The multiplied emerge image of Envisat-1 and ETM has been applied successfully to detect the middle part of Lintong-Chang’an fault in Shaanxi.

Key words: remote-sensing data mergence, Lintong-Chang’an fault, fault detecting

CLC Number: 

  • P627
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