# Stepwise Process Flow Details

- **Step 1**: Import Data o Open QGIS and load your Digital Elevation Model (DEM) data representing the topography of the study area. o Import building data and any other relevant spatial data layers, such as rivers, flood-prone areas, and historical flood level data, if available.
- **Step 2**: Clip the Digital Elevation Model o Use the "Clip raster by extent" tool to clip the DEM to your study region. This tool can be found in the Processing Toolbox (Processing &gt; Toolbox) under the GDAL &gt; Raster extraction menu.
- **Step 3:** Reclassify the DEM o Utilize the "Reclassify by table" tool in the Processing Toolbox (Processing &gt; Toolbox) under the SAGA &gt; Raster tools menu.
    
    o In the tool dialog, select the clipped DEM as the input raster, and define your flood threshold values in a reclassification table (e.g., set values less than the High Flood Line (HFL) to 1 and the rest to 0).
- **Step 4**: Identify Flood-Prone Areas o After reclassifying the DEM, the resulting raster image will represent potential flood-prone areas, where cells with a value of 1 are susceptible to flooding.
- **Step 5**: Use Historical Flood Levels (if available) o If you have access to historical flood level data, repeat Steps 2 and 3 with this data to create an additional raster representing historical flood-prone areas.
- **Step 6:** Overlay Buildings o Add the building data to QGIS and ensure it aligns correctly with the other layers. o Use the "Intersect" tool in the Processing Toolbox (Vector overlay &gt; Intersection) to overlay the buildings layer with the flood-prone areas layer. This will help identify buildings falling within the flood-prone regions.

[![](http://152.42.244.158/knowledge-product/uploads/images/gallery/2024-05/scaled-1680-/image-1716273796305.png)](http://152.42.244.158/knowledge-product/uploads/images/gallery/2024-05/image-1716273796305.png)

***Figure 8 Illustrations of identifying of water logging prone settlements, Sherpur (Bangladesh)***

  
*Source – CWIS spatial analysis, Innpact Solutions and GWSC*