Using raster and vector data to identify objects for classify in flood risk. A case study: Raciborz

Abstract

Abstract. The severe flood of 1997, which seriously affected Polish, Czech and German territories, gave impetus to research into the management of flood-prone areas. The material losses caused by the "Flood of the Millennium" totalled billions of Polish zloty. The extent of the disaster and of infrastructure repair costs changed the attitude of many branches of the economy, and of science. This is the direct result of consideration of the introduction of changes into spatial management and crisis management. At the same time, it focused the interest of many who were trained in analysing the vulnerability of land-use features to natural disasters such as floods. Research into the spatial distribution of geographic environmental features susceptible to flood in the Odra valley was conducted at the Faculty of Geography and Regional Studies of the University of Warsaw using Geographic Information Systems (GIS). This study seeks to examine the possibility of adapting vector and raster data and using them for land-use classification in the context of risk of flood and inundation damage. The analysed area of the city and surrounding area of Raciborz, on the upper Odra River, is a case study for identifying objects and lands susceptible to natural hazards based on publicly available satellite databases of the highest resolution, which is a very important factor in the quality of further risk analyses for applied use.

The Comparison of Vector and Raster Data for The Calculation of Landscape Environment Using a Geographic Information System Approach

“…One of the acquisitions of raster data is by satellite imagery which provides a perfect background example of this GIS image and setup [15]. Simply put, a satellite image can be thought of as a digital photograph of the world's surface, with each cell showing a specific color [16]. However, when it emerges geographic context, we can set it correctly on Earth and then analyze cell values which can be thought of as color wavelength bands [17].…”