ABSTRACT
Web-based GIS is increasingly utilized in health organizations to share and visualize georeferenced health data through the Web. In the development of a public information and disease surveillance network, issues of data publishing and user access are important concerns. The handling of data heterogeneity, lack of available data and tools, and methods of health information representation constitute continuing challenges. The purpose of this research is to address these three problems and provide new solutions for health information sharing.

ABSTRACT
Natural disasters are inevitable and Indian subcontinent is prone to all type of natural disaster, e.g., earthquake, flood, drought, cyclone, Tsunami, landslides, avalanche, forest fires, etc. The natural disasters can not be prevented fully but their impact can be minimized with sound disaster management strategy aided by the latest technological advancements in the field of Geoinformatics. GIS is a powerful tool which can be used to create integrated geo-database, visualize scenarios, develop advanced spatial models and effective solutions, prepare disaster zonation maps, and management plans. Remote sensing technology can be advantageously used for detailed monitoring even in near real-time and long-term relief management. Allahabad has now got the status of Metropolitan city and hence a disaster management plan is the need of the hour.

ABSTRACT
Sebinkarahisar Township which has been selected as study area is located between Black Sea and Central Anatolian Regions. Not only geological characters but also social life in the township had been affected by these two regions. History of the settlements goes back to early Hittite period. Even it was a province in the first years of Turkish Republic, today it is a township belongs to Giresun province. Landslide is one of the most effective natural disasters in the region. Due to wrong decisions of local authorities caused lots of damage, during the last two decades. Firmly some part of the city, which has the highest landslide risk, is prohibited for new settlement, and some studies (still at beginning level) had been carried out.

ABSTRACT
Forest fires are an important environmental concern worldwide, since they are the main source of land cover transformation in Tropical areas, and severely affect temperate forest, by transforming land protection factors, modifying biodiversity and the hydrological cycle and increasing soil erosion. Several attempts to assess fire danger conditions have been undertaken in the last years for different spatial and temporal scales. The use of Geographic Information Systems (GIS) and satellite data are becoming more common in those attempts, since they provide a spatial comprehensive view of some fire danger factors.

Introduction
Less than ten days ago, a deadly earthquake devastated the Iranian city of Bam, killing more than 30,000 people and injuring another 50,000. It was one of the deadliest natural disasters in modern Iranian history, and similar in destruction to the Roudbar earthquake in northern Iran in 1990. Historical information and all available records show that approximately 130 large earthquakes have taken place in most parts of Iran. Considering the high seismicity of Iran, a comprehensive hazard reduction program was launched in Iran in 1991, but the effectiveness of the measures have been limited by lack of adequate funding and institutional coordination. There is no lack of probabilistic studies on the seismicity of the country as well as fault studies. Comprehensive studies have been performed by Berberian (1999, 2001), Amiri et al. (2003), Sarkar et al. (2003), Modarressi (2002), Walker (2002) and Tehranizadeh (2001, 2002). A more detailed bibliography is presented at the end of this document.

Department of Hydrogeology and Bureau of Applied Geoscientific Remote Sensing (BAGF)
ABSTRACT
Based on LANDSAT ETM and Digital Elevation Model (DEM) data derived by the Shuttle Radar Topography Mission (SRTM, 2000) of the coastal areas of Northern Venezuela were investigated in order to detect traces of earlier tsunami events. Digital image processing methods used to enhance LANDSAT ETM imageries and to produce morphometric maps (such as hillshade, slope, minimum and maximum curvature maps) based on the SRTM DEM data contribute to the detection of morphologic traces that might be related to catastrophic tsunami events. These maps combined with various geodata such as seismotectonic data in a GIS environment allow the delineation of coastal regions with potential tsunami risk. The LANDSAT ETM imageries merged with digitally processed and enhanced SRTM data clearly indicate areas that might be prone by flooding in case of catastrophic tsunami events.