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development of the Neural Network which has to beUp-to-date curetted task of the present geoinformation determining the relation of appropriate classes to the system is the processing of the remote sensing data. Image object. analyses in point of mathematical view bases on the theory The number of parameters on spatial characteristic ofthe image recognition where it is necessary idn .increase due to involving parameters calculated by of the input data to the appropriate classas oi thentifictio horizontal, vertical and diagonal pixels taking part in Bes de with methods of fuzzy logic one of the advance process. As a result it can be find out an increase of a methods of solution the foregoing problem is wide volume of computation process. application of Neural Networks in the area m The main aim of those research activities is development Nof methodologi of hieh-rerformance classification of These methods have been taken an adequate instrument Deofpmethdlgy ohing therforaNe class ino which can be described regulation of classification without aerspeac images uiteN r nestwoksfo m od application of the high accuracy mathematical value as it o ect d accepted term for understanding like "small", "significant" objects.etc.~~~~~~~~~~~~Integration in GIS Neural Networks is the suitable instrument for effective encouragement of decision-making. There are two approaches of image recognition based on the spectral and spatial characteristics of the investigated GAS spataal data p class of objects. It is expedient the combination of the both approaches in order to increase an accuracy of recognition and classification of scanned area with complex relief

Flood and as an impact of inundation is the natural event. It mainly occurs when the river catchment, (that is the area of land that feeds water into the river and the streams that flow into the main river) receives greater than usual amounts of water (for example through rainfall or melting snow). The river can not cope and this extra water causes the level of the water in the river to rise and a flood to take place. This flooding may take place at any point along the river course and not necessarily at the place where the extra water has entered. The Kura river is the largest river of Azerbaijan. It stretches for 1,515 kilometers and covers an area of 188 thousand sq. km. The Kura originates from the Hel River in Turkey, passes through Georgia and Azerbaijan and flows into the Caspian Sea in southeastern part of the country. Achievements in information systems, satellites imaging systems and improved software technologies have led to opportunities for a new level of information products from remote sensed data. The integration of these new products into existing response systems can provide a wide range of analysis tools and information products on the base of developed geographical information system (GIS). Using the higher resolution of space imagery and change detection analysis natural disaster awareness and damage assessment can be conducted rapidly and accurately.On the base of the developed database using the remote sensing methods and GIS technology there is resources and opportunities of prediction, reduction of natural risk due to the timely implementation of appropriate engineering and technological activities.The results of the carried out project "Application of Remote Sensing and GIS Technology to Reduce Flood Risk" is concerned to the high technology application. It is important to note that the space technology, project development approach used for the project implementation are very useful issues which definitely will be find out a place in our future activities for the similar problem solving. For this project implementation purposes multichannel ALOS space image was used with spatial resolution of 10m. With the rapid development of tools such as Remote Sensing methods and Geographic Information Systems (GIS) technologies bridging gaps between data gathering, modeling, and flood prediction is becoming more feasible. Conventional modeling approaches using Remote Sensing and GIS technologies have been of limited value in the floodplains of the Kura River basin. Digital Elevation Models (DEMs) are either not availableor too coarse to adequately capture subtle variations in flooding topography important in characterizing the spatial variability of the hydro period regime. Consequently, DEM-based models have been developed to represent floodplain geomorphology in this particular region. Additionally, analyses using Remotely Sensed imagery have been also scarce for the area.In spite of the limitations regarding data quality and availability, this analysis evaluates the sensitivity of a DEM-based su...

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On November 4, 2003, the Board of the International Finance Corporation (IFC), the private sector arm of the World Bank Group, approved lending to the Baku-Tbilisi-Ceyhan (BTC) oil pipeline and theAzeri-Chirag-Deepwater Gunashli (ACG) Phase 1 oil field. The BTC pipeline is a dedicated crude oil pipeline system, which extending from the ACG field through Azerbaijan and Georgia to a terminal at Ceyhan on the Mediterranean coast of Turkey. The pipeline transports up to 1 million barrels per day, and at 1760 kilometers is one of the longest of its kind in the world. The BTC pipeline complements oil transport from two existing pipelines -the Northern Route pipeline to Novorossiysk, Russia and the Western Route pipeline which ends in Supsa, Georgia.Presently very sharply there is a significant safety problem of oil and gas transportation in regions of Azerbaijan/Georgia/Turkey after successful construction of the oil pipeline to the Baku -Tbilisi -Ceyhan as well as gas pipeline Baku -Tbilisi -Erzurum. Construction of the railway of Baku -Tbilisi -Akhalkalaki -Kars has received the legal status after signing an Agreement between country representatives of the foregoing railway.The use of advance technologies make available to enhance planning, project management and design, operation and maintenance of the pipeline infrastructure. Aero and satellite remote sensing data integrated into the geographic information system (GIS) creates an opportunity to assist pipeline risk assessment, environmental issues, safety of pipeline infrastructure as well social impacts. Modern capacity of data processing techniques is opening a new technological opportunities to develop capability to accomplish the pipeline mapping with a variety of futures of infrastructure and safety needs of the industry where social aspects undertaken. These technologies when combined with GIS have significant and unique potential for application to a number of cross cutting system security elements [1].