Spatial data provider, EarthDefine, has added over 27 million new commercial and residential structures to its high-resolution 3D building footprint database, bringing its total footprint count to over 183 million commercial and residential structures across the Continental US.
EarthDefine’s 3D building footprints are derived from a combination of Lidar (used to identify structures hidden by trees and assign building heights) and deep neural networks to analyse aerial imagery – an approach it says achieves 98% accuracy, allowing insurers to assess and price wildfire, flood and other natural hazard perils with more precision by mapping a policy’s address to a property’s rooftop.
The enhanced geocoding accuracy can also help underwriters establish if part of a building falls into a flood zone, or understand a structure's proximity to low, medium and high-risk areas.
“The foundation of all geospatial analysis begins by taking an address and pinpointing its exact location on a map,” said Vikalpa Jetly, CEO, EarthDefine. “Once you have mapped an address to its exact location, then you have created a solid foundation for all geospatial analysis. EarthDefine’s 3D building footprint database can help insurers pinpoint a policy’s precise location and generate additional insights by returning vital building characteristic data. Carriers can then use this information to feed into in-house or third-party CAT models to improve modeling accuracy and avoid unnecessary losses.”
Image courtesy EarthDefine
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