GIS and RS Combined Analysis for Flood Prediction Mapping – A Case Study of Dhaka City Corporation, Bangladesh

Md. Zelani Sarker; Ake Sivertun
Flood is a type of hydro-meteorological phenomenon and it is very hazardous as it can cause devastating losses in property and human lives. Fast and unplanned development aggravates the consequences of flooding by increasing the monetary costs of losses. These kinds of losses are especially high in urban areas which would be possible to ease with proper planning and management of the urban structures. Geographical Information Systems (GIS) based modeling and Remote Sensing (RS) techniques can help by supplying maps and techniques as assistance to make early warning for risk areas. In this case study, different criteria have been analyzed that have potential impact on the amount of devastation, such as the elevation of the areas, flooding depth, building density, terrain slope, soil type, land use types etc. Based on different factors analysis, results are visualized with the help of GIS and RS presentation and dissemination techniques. In addition, the impacts of different factors on flooding itself are also discussed. Finally, a flood prediction map for Dhaka City Corporation (DCC) in Bangladesh was prepared using the Multi-Criteria Evaluation (MCE) method with particular focus on the different criteria that influence the flooding in Dhaka city.
Dhaka City Corporation (DCC); Flood prediction mapping; Remote Sensing (RS); Geographical Information Systems (GIS); and Digital Elevation Model (DEM)
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