Lowest Floor Elevation

Lowest floor elevation (LFE) estimation is crucial for various applications, including flood risk assessment and urban planning, with current research focusing on automating LFE determination using readily available data sources like street view imagery and satellite data. Researchers employ computer vision techniques, including image segmentation and deep learning models (e.g., convolutional neural networks, vision-language models), often integrated with other data sources such as OpenStreetMap, to improve accuracy and scalability. These advancements offer more efficient and cost-effective methods for LFE estimation compared to traditional surveying techniques, leading to improved data availability for applications requiring accurate building elevation information.