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.
    Fig. 1. Analysis of the consequences of an earthquake in Turkey in the city of Kırıkhan (image before 09/27/2021, image after 06/06/2023)
  • 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.

Goals and Objectives


  • Improving Risk Modeling: Remote Sensing (RS) provides access to a large volume of data on climatic conditions, natural disasters, and environmental changes. Utilizing this data allows for the development of more accurate and reliable insurance risk assessment models.
  • Enhancing Risk Management Efficiency: Analyzing information obtained through RS helps insurance companies more accurately identify potential threats and risks in near real-time. This enables them to make more informed decisions about insurance policies, pricing, and portfolio management promptly and without the costs of field research.
  • More Accurate Loss Assessment: Thanks to the ability to monitor and analyze data over a large area with ultra-high spatial resolution (up to 0.15 m), RS allows insurance companies to assess losses more quickly and accurately after insurance events. This facilitates faster incident response and speeds up the compensation process for clients.


  • Monitoring Climatic and Natural Phenomena: RS enables the observation of changes in climate, ecosystem conditions, water levels, and other environmental parameters. This helps predict potential insurance risks related to environmental changes.
  • Identifying Vulnerable Areas: Analyzing RS data helps identify areas with high insurance risk, such as flood zones, seismically active regions, and others. This allows insurance companies to focus efforts on preventing losses in these vulnerable areas.
    Risk assessment for dam breach. Surface displacement map in the Charvak Reservoir area
    Fig. 2. Risk assessment for dam breach. Surface displacement map in the Charvak Reservoir area
  • Damage Assessment After Insurance Events: Data obtained through RS allows for the rapid assessment of damage caused by natural disasters, fires, accidents, and other insurance events. Multi-year and daily updated archives can provide information before, after, and during the insurance event. Accurate damage information helps insurance companies effectively manage risks and assess the size of insurance premiums.
  • Creditworthiness Assessment: Using RS data in creditworthiness assessment provides additional parameters for scoring models, allowing for the collection of uniform data on objects over time. After issuing a loan, space monitoring becomes an effective tool for controlling the targeted use of credit funds and subsidies. Satellite images collected over time provide information for analyzing pledged assets, especially useful for evaluating large assets. Analyzing an asset's history through satellite images helps identify hidden risks related to various factors such as natural phenomena, technological processes, and environmental aspects.
  • Inventory and Audit: Analyzing satellite data helps conduct checks and evaluations of financial institution assets, considering various factors such as territory condition, documentation, infrastructure, and the environment. The obtained parameters of objects are used to form an overall rating.
    Example of RS materials used in the production phase of a municipal land inventory project
    Fig. 3. Example of RS materials used in the production phase of a municipal land inventory project
  • Investments and Consulting: Space data is a key tool for analyzing environmental risks and infrastructure in investment projects. Geoanalytics provides information for evaluating objects and territories, monitoring markets and industry development, and overseeing projects and climate initiatives. This objective data supports analysts, traders, investors, and consultants.

Advantages of Using RS Data

  • Accurate Risk Assessment: GEO "INNOTER" can provide detailed information about real estate objects based on satellite and aerial imagery analysis, such as their size, shape, location, and condition. This can help insurers accurately assess risks associated with real estate and determine appropriate coverage and premiums.
  • Data Analysis and Predictive Modeling: Satellites used for RS in insurance can provide insurers with a vast amount of data that can be used to develop predictive models and identify patterns and trends. This can help insurers better understand risks and make more informed decisions about insurance, premiums, and coverage.
  • Modern Insurance: Insurance based on RS data analysis can help insurers identify and assess risks that may be undetectable through traditional field methods such as physical inspections or surveys. RS can provide not only physical but also chemical characteristics and properties of objects based on spectral analysis. This can lead to more accurate insurance and better risk selection.
  • Improving Customer Service Quality: Using RS data, insurers can offer their clients more personalized and tailored insurance solutions based on specific risks associated with their property. This can lead to increased customer satisfaction and retention.

Prices for services

Consultation free
Image Selection, Preliminary Analysis free
Image Order

From 10 to 600 USD per image (a minimum of two images required)

Technical Specialist Work From 15,000 RUB
TOTAL From 16,000 RUB

The price depends on the area, complexity, deadlines, and cost of the images and is calculated individually for each customer.

The cost of execution is calculated on an individual basis, taking into account a specific of task.

After receiving the task description, we calculate the cost and send you a commercial offer.

Period of execution

The completion time for the work is from 7 (seven) working days and is calculated individually for each customer.

The completion time depends on the area, complexity, deadlines, and cost of the images and is calculated individually for each customer.

How to place an order:

  1. STEP #1: Submit an application on the website specifying:
    • Location of the research object (coordinates, cadastral number, etc.);
    • Questions for evaluation (subject of research);
    • Dates for analysis and evaluation;
  2. STEP #2: Agree on the terms of reference and cost:
    • Risk assessment from RUB 16,000;
    • Images are paid separately (one ultra-high resolution image from 300 USD).
  3. STEP #3: Sign the contract and start work:
    • Completion time is from 7 working days from the date of receiving 100% prepayment - payment only by bank transfer.

We work with individuals and legal entities, individual entrepreneurs, state and municipal authorities, foreign customers, and others.

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Stages of service provision

Stage #0 (BEFORE signing the contract) – Express Assessment:

  • Determining the dates and parameters of the required imagery (imagery period, type of imagery)
  • Checking the availability of archival RS materials for the area of interest
  • Verifying the selected archival images meet the customer's requirements
  • Requesting a new imagery acquisition from the operator(s) (if necessary)

RESULT: feasibility (YES/NO) of providing the service

Stage #1 (BEFORE signing the contract) – Technical Specification Development, Contract Draft:

  • Agreeing with the customer on available RS data in the operators' archives;
  • Agreeing with the customer, if necessary, on the satellite for new imagery acquisition, timelines, and parameters of the new imagery;
  • Agreeing with the customer (if necessary) on the accuracy requirements for reference points and DEM for orthorectification;
  • Agreeing on the coordinate system and projection requirements for the final product;
  • Final determination of labor and material costs, agreeing on delivery times and costs

RESULT: signed contract

Stage #2 (contract execution):

  • Receiving 100% prepayment;
  • Ordering satellite imagery materials;
  • Initial inspection of RS materials;
  • Processing RS materials;
  • Orthorectification of images;
  • Performing color correction and cloud cover correction of the obtained image;
  • Image interpretation and spectral analysis
  • Describing changes, qualitative and quantitative characteristics of the object.

RESULT: a legally binding written document.

The result of the provision of services

GEO INNOTER provides the client with an expert analysis - a written document (geodynamic study containing a technical report) that reflects the process and results of the research conducted using satellite or aerial imagery. The outcome of the study includes conclusions based on the questions posed to the expert and recommendations derived from the analysis.

In summary, the result of the work includes the following documents and materials:

  • Expert conclusion signed by the expert and stamped by the organization;
  • Technical report (geodynamic study);
  • Certificate confirming no changes were made to the RS material (metadata verification and anomaly detection due to machine or manual alterations);
  • Copies of the license authorizing the organization to perform such work;
  • Copy of the expert's diploma;
  • Satellite and UAV images, maps, and other materials if they were purchased separately at the customer's expense and/or provided by the customer to LLC "GEO INNOTER";
  • Other documents, charts, etc.

Requirements for Initial Data

  • Exact geographic coordinates of the object in the required coordinate system (LLC "GEO INNOTER" specialists will clarify the coordinates provided by the customer in any convenient form).
  • Images that meet the research questions based on the criteria of the time of capture, spatial resolution, and availability of the necessary spectral channels, initial georeferencing by RPC.
  • Orthorectified images (georeferenced to the terrain) with the required accuracy.
Fig. 4. NDWI index values from Sentinel-2 data before and during flooding in Orsk



Insurance risk assessment is the process of evaluating the likelihood of loss or damage that may result from a particular event or set of events and determining the financial consequences for the insurance company or policyholder. Insurance risk assessment analyzes various factors, including the likelihood of an event occurring, its magnitude, possible consequences, vulnerability and ways to minimize losses. Insurance risk assessment helps insurance companies make informed decisions about pricing, risk management and insurance product development.
Insurance risk assessment involves analyzing various aspects to determine the probability of losses and their possible impact. Main Elements:

  • Analyzing insurance policies and contracts: Checking the terms and conditions of insurance, examining the coverage of insurance coverage.
  • Assessing the likelihood of events: Assessing the likelihood of various risks and events that may lead to losses.
  • Potential Loss Assessment: Determining possible financial losses resulting from insured events.
  • Analyzing historical data and statistics: Studying previous loss events, analyzing trends and patterns.
  • Vulnerability assessment: Examining the policyholder's vulnerability to potential risks.
  • Assessing the effectiveness of risk mitigation measures: Examination of the policyholder's risk mitigation actions and their impact on potential losses.
  • Calculation of financial reserves: Determining the necessary financial reserves to cover losses.
  • Forecasting future risks: Assessing the likelihood of new risks and their impact on the insurance.

There are many types of insurance risks, here are some of them:

  1. Risk of losses from natural disasters: such as earthquakes, floods, hurricanes, fires, and other natural catastrophes.
  2. Risk of damage from third-party actions: theft, vandalism, as well as liability for causing damage and injuries to third parties.
  3. Health and life risk: related to loss of health, injuries, illnesses, or death.
  4. Auto insurance risk: accidents, theft, damage, etc.
  5. Business interruption risk: potential loss of profit due to reasons leading to the stoppage or reduction of business operations.
  6. Property risk: damage or loss of property, including homes, cars, equipment, and other valuables.
  7. Financial risks: associated with investments and financial operations.
  8. Medical and life insurance: related to medical expenses, life insurance, and disability insurance.
  9. Technological and cyber risks: potential cybersecurity threats, hacking attacks, data breaches, and other technological risks.
  10. Political risks: risk of problems arising from political changes, wars, terrorist acts, and more.

Remote sensing of the Earth can help in assessing various insurance risks, including:

  1. Floods: By analyzing images obtained through remote sensing, areas with a high risk of flooding can be identified and appropriate precautionary measures can be taken.
  2. Fires: Monitoring territories through remote sensing allows for the detection of early signs of fires and predicting their spread.
  3. Earthquakes and geological hazards: Remote sensing can be used to monitor tectonically active zones and identify potential earthquake sites.
  4. Crop losses: Analysis of vegetation data obtained via satellites can help assess crop yields and the risks of crop losses.
  5. Infrastructure risks: Remote sensing can be applied to monitor the condition of infrastructure, identify defects, and assess the risk of collapses.
  6. Environmental risks: Utilizing remote sensing data allows for monitoring the state of the environment, controlling water and air pollution, and identifying and preventing environmental disasters.

Using remote sensing for assessing insurance risks offers several advantages:

  1. Broad coverage and regular data updates: Satellites used for remote sensing can cover extensive areas, allowing for data collection over large areas in a short time. This enables timely detection of changes and risks.
  2. Objective assessment: Remote sensing data is objective and not subject to subjective influences. This contributes to a neutral and accurate risk assessment.
  3. Multidisciplinary approach: Remote sensing allows the use of data from various spectral ranges to analyze different aspects of risks, including geographical, climatic, ecological, and others.
  4. Cost-effectiveness: Compared to traditional monitoring and risk assessment methods, remote sensing can be more cost-effective in terms of data collection and analysis.
  5. Predictive capabilities: Remote sensing data can be used for predicting potential risks and events, which helps in taking preventive or mitigative measures.
  1. Coverage and speed: Remote sensing provides rapid data updates and the ability to monitor large areas simultaneously, whereas traditional methods may be limited in time and space.
  2. Cost reduction: Using remote sensing can reduce monitoring and data analysis costs compared to traditional methods, as it requires fewer resources for field visits and manual data collection.
  3. Predictive capabilities: Remote sensing data allows for forecasting and modeling various scenarios of events, facilitating planning and decision-making in managing insurance risks.
Multi and hyperspectral data provide additional information about the Earth's surface in a large number of spectral bands. They allow for a more detailed and accurate analysis of various aspects of the environment, such as soil composition, vegetation type, pollution and other parameters, making them valuable tools for identifying potential insurance risks in a given area.
Radar data can provide information on object height, surface structure and material movement, which is useful in analyzing potential hazards such as floods, underground landslides and other geological phenomena. Thermal data, in turn, can be used to detect temperature anomalies, assess climate change, identify thermal leaks, etc. These data help to identify potential threats and risks to insured objects such as buildings, crops, etc. The diversity of information from radar and thermal data makes them an important tool in insurance risk assessment, providing a more complete understanding of the environment and potential threats



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