Combining satellite and remote sensing technologies with rights confirmation data and land parcel segmentation technology can vectorize and spatialize the subject matter of insurance, then establish a spatial database of the subject matter of insurance to provide spatial data and analysis management support for insurance underwriting and claim settlement.

SATELLITE REMOTE SENSING FOR AERIAL IMAGERY ANALYSIS INSURANCE FEATURES

1

Accurate Risk Assessment: Satellite aerial imagery analysis insurance can provide detailed information on properties, such as their size, shape, location, and condition. This can help insurers to accurately assess the risks associated with a property and determine appropriate coverage and premiums.

2

Data breach coverage: Satellite aerial imagery analysis insurance often involves handling sensitive data, which can be vulnerable to cyber attacks. This aerial imagery insurance can provide coverage for data breaches and associated costs, such as legal fees, notification expenses, and credit monitoring services.

3

Data Analytics and Predictive Modelling: Satellites used for remote sensing in insurance can provide insurers with a wealth of data that can be used to develop predictive models and identify patterns and trends. This can help insurers to better understand risks and make more informed decisions about coverage, premiums, and underwriting.

4

Improved Underwriting: Satellite aerial imagery analysis insurance can help insurers to identify and evaluate risks that may not be visible through traditional methods, such as physical inspections or surveys. This can lead to more accurate underwriting and better risk selection.

5

Enhanced Customer Experience: By leveraging satellite aerial imagery analysis, insurers can provide their customers with more personalized and customized insurance solutions, based on the specific risks associated with their properties. This can lead to increased customer satisfaction and retention.

changguang Jilin satellite constellation is the core project under construction by CGSTL. The first phase of the project consists of 138 high-performance optical remote sensing satellites covering video, high resolution, wide band, infrared, multispectral and other series.