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Satellite Data- Based Natural Hazard Study in Iran
3. Projects
3.1. Drought Impacts Studies
From 1998 to 2002, the country was facing with a drought period . To assess the Impact of these dry years NOAA data and NDVI method were used to detect the change in vegetative cover of the whole country which was forwarded to related authorities for their information and possible use in their decision making process.
Second impact of such a drought period were observed in many wetlands of the country ,Figure1and 2 .These wetlands and marshlands which were covered with a considerable amount of waters were completely dried with a very important effects not only on the life of the people living in their peripheral areas but also associated with a very significant environmental, social, and economic changes in their near by areas. The most largest of these wetland are two vast marshlands in IRAN—IRAQ southeastern border which studied by UNDP.
To carry out these studies we are using Landsat series satellite data including MSS,TM and ETM+ imageries both in pictorial and digital forms. These multi-temporal data ,are assisting us to collect a series of valuable information on different parameters involved and to extract information required to establish a GIS-based databank . Preparation of DEM through the integration of data collected, are part of the approach used which is shown in Fig 3 (as an example).
3.2. Duststorm Studies
High temporal resolution Terra and Aqua satellites data, taken by MODIS sensor and multi-visions provided have given us a unique opportunity to monitor heavy sandstorms blowing over 2/3rd of the country. Actually for the first time now we are able to understand not only the parameters involved (i.e. source, direction and channels of transportation, relative densities, areal extent etc) but also to delineate their depositional areas and their relationship with the geomorphological features present Fig 4. It should be emphasized that, gathered information are extremely important to evaluate their impacts on execution of infrastructural development plans which are planned or going to be planned to be performed in the vast areas of the country under the influence of this phenomena ( i.e. construction of airports, ports, agricultural production etc) in addition to through understanding and analysis of the phenomena itself .
3.3 Flood Monitoring and Mapping
While almost most of the areas close to large and long rivers of the country are treated by flooding and floods, Khuzestan Plain with its long and major rivers
( i.e. Karun, Dez , Marun , Hendijan, Zohreh, Karkheh) located in southwest of the country ,Fig 5 and 6, are supposed to be the most flood-prone areas with a numerous infrastructural plans which includes; industrial, agricultural , oil and gas ,urban development projects. In this regard ,we have used multi-temporal Landsat data to extract and gather a considerable amount of information on the parameters required and try to delineate flood-prone areas and their respective use for preparation of flood plain zonation map .
A new sets of data acquired by Terra satellite and its MODIS sensor Fig 6, has added new and valuable amount of information to our existing knowledge about flooding in the above =mentioned region and also its nearby areas making us able to complete the picture . With availability of existing very high resolution satellite data such as those taken by IKONOS and Quickbird ,we now are very hopeful to be able to delineate the areas affected by floods and being able to assess precisely damages occurred for their subsequent use in preparation of rehabilitation plans and crisis management.
3.4. Water Fluctuation Studies
water fluctuation in two famous Iranian lakes located partly or as a whole, within the boundaries of the country ,called Caspian Sea and Urumieh respectively, as a natural disaster and their impacts on peripherial areas is the subject of an investigation presently under execution .
To achive the objective defined we are using multi-temporal Landsat data and data taken by SPOT (HRV in XS mode), ASTER and MODIS sensors on board of Terra/Aqua satellites as well as those taken by astronauts orbiting the earth by Space Station ,Fig 8. While Landsat data are used to define and delineate coastal areas under the invasion of progressive waters in 1997-2000 period resulting from water level rise in Caspian Sea , Fig 7, other mentioned types of satellite data are used to monitor the shrinkage in Urumieh Lake due to regression of water level in this unique water body which is recognized by UN as a registered international protected zone.
In this regard, SPOT data were used to define sedimentation pattern change within the lake due to construction of highway right in the middle part of this water body ,Barzegar & Sadighian 1991, 1992.In addition to such a study , Landsat-7 ETM+ data were also utilized for phytoplankton mapping( Barzegar & Khodaei, 2002 ) and structural analysis of faults involved in the formation of the Urumieh Lake (Mehr-alizadeh & Barzegar ,2002).
3.5. Landslide Mapping
Space taken remotely sensed data due to its repetitive coverage is used effectively as an ideal tool to delineate landslides, of course based on extent of land displaced and type and spatial resolution of data accessible. To evaluate such an application for recognition and mapping of landslides occurring in different geological and morphological environments, Landsat data were effectively used to map such a natural hazard in two different areas in northern Alboz Ranges and southwestern famous oil bearing Zagros Ranges as well ,Fig 9 .
In both cases existing resolutions, both in PAN and ETM+ data were quite effective and lead us not to define and map the mass moed bot also to understand its impacts on the areas of slided debries. Even these data helped us to recognize the paleo – landslides (11000 years in age) through the analysis approach which is based on conventional interpretation methodology and factors involved.
Understanding of related parameters such as source areas, debries flowing routes, areas covered by mud or debry flows etc are other types of information which will be used to model the phenomena when integrated by other additional data which are essential for such a investigation.
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