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IUGG XXIV General Assembly July 2-13, 2007 Perugia, Italy<br />

(S) - <strong>IASPEI</strong> - International Association of Seismology and Physics of the Earth's<br />

Interior<br />

JSS005 Poster presentation 1920<br />

Seismicity investigation of Shiraz Region with remote sensing and GIS<br />

Mrs. Azam Nemati<br />

tehran shomal university student <strong>IASPEI</strong><br />

Central Zagros is one of the well-defined seimoactive areas in IRAN. My study area is located in Folded<br />

Zagros and bonded by latitudes 27 N and 30 N and longitudes 51 E and 53E.At first seismic activity of<br />

this territory is studied by using Geological, Geomorphological and Seismological methods. On the<br />

available geology maps there arent any near trend between epicenters and active faults. This problem<br />

comes from Salted Hormoz layer, evaporated sediment that underlain and their plastic property. For<br />

solving this problem we use Remote Sensing Data such as ETM+ images, RADAR images that detect in<br />

scansar mode with 50m resolution and SRTM DEM. We merge panchromatic band with multispectral<br />

bands in ETM+ data and provide an image with 15m spatial resolution .For seismic date we use IIEES,<br />

USGS and Tehran geophysics institute catalogs. Using of remote sensing data is a relatively new<br />

technique that can be used to study deformation and identify lineaments. Multisensor remotely sensed,<br />

has a wide view angle and high spatial resolution are very useful for lineament analysis and neotectonic<br />

mapping in this area also a shaded relief Digital Elevation model (DEM) could be useful for the<br />

quantitative approach of activity of faults- segments (morphotectonic analysis, estimation of the<br />

displacement, erosion rate versus uplift rate, etc ). We identify linear features by visual analysis from<br />

surface and morphotectonic evidence and some software filter (sharp edge, sun angle and etc). Finally<br />

the use of satellite images, earthquakes and GIS analysis show that these are very powerful tools for<br />

identification of blind faults and their characteristics.<br />

Keywords: seimisity, shiraz, remotesensing

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