Computer-implemented method for estimating insurance risk of a structure based on tree proximity

Abstract

Computer-implemented methods of estimating insurance risk of one or more structures are described. The computer-implemented methods may be based on a combination of tree characteristic information and insurance loss data that are used together to calculate a Tree Proximity Score for the one or more structures through a computer processor. The tree characteristic information may include vegetation density data, tree height, tree geometric characteristics, and tree species information, and may be based on tree sensor data which may include satellite imagery, aerial imagery, or LiDAR. The insurance loss data may include wind loss data such as a wind loss frequency, severity, or ratio. The high level of correlation between the Tree Proximity Score and insurance loss data is shown in an example. The Tree Proximity Score may be used in the insurance industry in insurance policy implementation and underwriting.

Dependencies are inferred from the claim text.