Abstract: A method and apparatus is disclosed for applying high resolution spectral imaging (hyperspectral or multispectral) to property characterization, specifically rooftop classification of type and condition using reference data for insurance applications. The system can also be used to classify the condition of vegetation and property hazards. Classifying rooftop type and condition using remote spectral imaging greatly improves quantitative accuracy of roof inspections and decreases the cost of inspection across large geographic domains. By comparing the spatially subset spectral reflection of rooftops to a reference spectra, the rooftop type and condition can be accurately assessed. The aerial inspection produces uniform and consistent data can be ingested into property insurance evaluations for many different uses.

Abstract: A method and apparatus is disclosed for applying high resolution spectral imaging (hyperspectral or multispectral) to property characterization, specifically rooftop classification of type and condition using reference data for insurance applications. The system can also be used to classify the condition of vegetation and property hazards. Classifying rooftop type and condition using remote spectral imaging greatly improves quantitative accuracy of roof inspections and decreases the cost of inspection across large geographic domains. By comparing the spatially subset spectral reflection of rooftops to a reference spectra, the rooftop type and condition can be accurately assessed. The aerial inspection produces uniform and consistent data can be ingested into property insurance evaluations for many different uses.