Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis

A method for automatically assessing damage vulnerability of a real estate property, the method comprising:

• accessing, by processing circuitry, one or more digital images, each of the one or more digital images including imagery of a property parcel having a first structure thereon, at least one of the one or more digital images comprising imagery of a neighborhood of the property parcel;
• classifying, by the processing circuitry, a plurality of features visible in the one or more digital images, including at least one feature of the first structure and at least one feature present in the neighborhood of the property parcel, wherein classifying comprises, for each respective feature of the plurality of features,
• applying a set of machine learning analysis algorithms to at least a portion of at least one of the one or more digital images to determine at least one characteristic of the respective feature, wherein
• each algorithm of the set of machine learning analysis algorithms is trained to identify one or more characteristics of a set of potential characteristics;
• applying, by the processing circuitry, property location information for the property parcel in conjunction with the plurality of classified features to determine a spatial relationship between the first structure and each of a plurality of manmade features and/or natural features represented by the plurality of classified features, including one or more manmade features and/or natural features in the neighborhood of the property parcel;
• and
• applying, by the processing circuitry, a property loss risk profile, based at least in part on the determined characteristics of the plurality of classified features and the determined spatial relationships, to calculate a risk estimate for the first structure under at least one risk scenario.