Insurers require the latest geospatial data to make critical decisions and accurate underwriting assessments that impact bottom-line revenue. However, many struggle with timely extraction and delivery of land use layers used to determine a property’s distance from vegetation, location in a flood zone, or other location-based risk factors.
Airbus leverages proprietary technology to extract high-accuracy outputs from satellite imagery such as: land use, building footprints, and road vector data. This technology enables property and casualty insurers to manage portfolio risk more quickly and intuitively than ever before, forgoing the need for tedious manual extraction. From wildfire to flooding, Airbus’ extraction capabilities deliver high-resolution imagery and high-accuracy land cover to help insurers better understand the manmade and natural worlds to better mitigate risk.
High-accuracy extraction of 10+ class land use solution, including building footprints and roads.
- High Accuracy: best-in-class accuracy for any location intelligence or GIS application using advanced machine learning technology
- Freshness of Data: up-to-date OneAtlas imagery using our Fresh Premium archive or tasking
- Fast Delivery, Cost-effective Solution, at Scale: scale quickly across the globe to meet your needs in a fraction of the time and cost.
Flood Plain Risk Assessment: Identify properties and assets that are in flood zones by overlaying flood plain vector data layers.
Distance to Forest & Vegetation: Accurately measure the distance of a property from vegetation, gauging the wildfire risk across a portfolio.
- Swimming Pool Identification: Empower insurance companies to better determine risk factors attributed to swimming pools on a property.
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