Long-Term Impacts of Lake District Changes on Flood Risk: Analysis of Environmental Dynamics
This study investigated the determinants of flood risks in the Lake District, UK, by using Sentinel-2A remote sensing satellite data integrated into Google Earth Engine (GEE) to extract monthly water covered areas. A further regression analysis was performed to assess the influence of precipitation and snowfall on variations in water covered area. While the findings did not quite match the early predictions, they still indicate that more precipitation and snowfall might lead to an increase in the overall area covered by water, thereby increasing the possibility of flooding. The main period of flood danger was identified as occurring from November to January, coinciding with the season characterised by the greatest amounts of precipitation and snowfall. This research is limited by cloud coverage of the study area during precipitation, which affected the examination of remote sensing photographs. Furthermore, other variables like as vegetation might also impact the likelihood of flooding.
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