• DocumentCode
    3690085
  • Title

    Detecting seismic IR anomalies in bi-angular advanced along-track scanning radiometer data

  • Author

    Pan Xiong;Xuhui Shen;Yanfang Dong;Yanmei Zhang

  • Author_Institution
    Institute of Earthquake Science, China Earthquake Administration, Beijing 100036, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    866
  • Lastpage
    869
  • Abstract
    The paper has developed and proposed a synthesis analysis method based on the Robust Satellite data analysis Technique (RST) to detect seismic anomalies within the bi-angular Advanced Along-Track Scanning Radiometer (AATSR) gridded brightness temperature (BT) data based on spatial/temporal continuity analysis. The proposed methods has been applied to analyze Yushu(Qinghai, China) earthquake which occurred on 14th April 2010 and the Wenchuan earthquake occurred on 12th May 2008, and a full AATSR data-set has been analyzed. Combining with the tectonic explanation of spatial and temporal continuity of the abnormal phenomena, the analyzed results indicate that: the infrared radiation anomalies detected by the AATSR BT data with nadir view appear and enhance gradually along with the development and occurring of the earthquake, especially along the Ganzi - Yushu fault, Nu River fault and Jiali - Chayu fault; more infrared anomalies along the earthquake fault zone (Lancangjiang fault and Ning Karma Monastery-Deqin fault) are detected using the proposed synthesis analysis method, and the main structure activity (the Yingxiu-Beichuan fault) characteristics of the Wenchuan earthquake can be identified and extracted using the bi-angular AATSR nadir and forward brightness temperature data.
  • Keywords
    "Earthquakes","Satellites","Remote sensing","Satellite broadcasting","Robustness","Monitoring","Hazards"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7325902
  • Filename
    7325902