Insurance Risk Assessment is the ability of an insurance company to determine the likelihood of certain losses or damages to the insured object or event, which helps to determine the necessary insurance premium and policy conditions.

Insurance Risk Assessment using Remote Sensing (RS) is a method of risk assessment that utilizes data obtained from satellite Earth observation or through aerial photography or UAVs. This approach allows insurance companies to analyze risks based on detailed geospatial information, such as changes in the natural environment, conditions in a specific region, and other parameters that may affect insurance claims. By using RS, companies can more effectively evaluate and manage insurance risks, contributing to the development of more accurate and tailored insurance products.

Insurance Risk Assessment. Remote Sensing (RS) provides insurance companies with the ability to more accurately determine and predict various risks, such as natural disasters (floods, earthquakes, hurricanes, hail), fires, and desertification. RS data analysis allows for more precise risk assessment, contributing to better policy determination and effective risk management.

Monitoring Objects. Using RS for continuous monitoring of insured objects, whether buildings, vehicles, or agricultural lands, allows for the timely detection of risk-related changes. This helps insurance companies prevent potential losses by early identification of problematic situations and taking appropriate measures. The accuracy and quality of aerospace images enable objective conclusions and reports on the current physical condition of collateral objects and determine the degree of economic activity at the sites.

Fraud Reduction. Data obtained through RS provides a more objective assessment of damage resulting from insurance claims. This helps reduce the likelihood of fraud when claiming insurance payouts. Comparing RS data with other information sources aids in the detailed identification of fraud-related incidents and increases the effectiveness of prevention measures due to ultra-high spatial resolution data up to 0.15 m.

Process Optimization. Automating processes based on RS data speeds up risk assessment and reduces the time and financial costs of conducting inspections and field surveys of insured objects. Quick assessments and improved data management help insurance companies provide services more promptly and efficiently.

Increased Transparency. The use of RS ensures objectivity in risk assessment, enhancing trust between insurers and clients. Clients gain a clearer understanding of insurance processes, and insurance companies obtain more reliable data for decision-making. This promotes greater transparency and trust in the insurance sector.