AI Summary & Key Takeaways
AI InsightThe study proved that integration of various spatial data could greatly support flood damage assessment.
📌 3 Key Takeaways
Abstract
People are struggling with floods, which are types of natural disasters. Floods are in the first place among natural disasters in terms of damage to the community and the number of victims. Acquisition data from reliable sources is one of the central issues in the assessment of the condition in areas with high probability of flooding and operative decision making in extreme situations. As the source of this kind of data Remote Sensing data is widely used which is interpreted by Geographical Information Systems technologies in a short time. In addition, accurate geographical linking is possible through modern satellite navigation technology, which makes it possible to spread information quickly and deliver obtained results to customers. Since the Kura River is the source of fresh water in Azerbaijan, most important and strategic importance, there are many settlements, industrial and economic facilities along the riverbed. That is why, as a result of the floods in the downstream of the Kura River, the environment, economic infrastructure, individual spatial areas and the population living in these areas are damaged. As an example of flood damage assessment, the recent flood in 2010 was analyzed. Different archival, field survey and digital materials were used. Maps of flooded areas and the potential infrastructure in flooded areas were determined through ArcGIS 10.2.1 software. Among all flooded areas, settlements and pastures had the highest share. The study proved that integration of various spatial data could greatly support flood damage assessment.