确保空中保险

Case study

The hurricane season of 2017 was the most expensive on record, with estimated damages upward of3060亿美元。到recover from such destructive events, communities need financial support, provided by government organisations and mostly insurance companies.

accurately calculate the cost of damagesto an affected area, and, therefore, make correct payments, insurance companies and their contracted risk analysis service firms need to understand the structures, be it homes or businesses. There is where Geomni, a fully-owned business of risk assessment and data analytics company Verisk, comes in.

Founded in 2012 to bring a critical service in-house, Geomni usesremote sensing and image captureto create complete packages of data for property professionals, from insurance agents to roofers, to accurately provide services to their clients. One of the instruments the firm uses to collect this detailed data is theLeica CityMapperairborne hybrid sensor.


Ensuring estimates



When hurricanes, such as the major trio from 2017 - Michael, Irma and Maria – threaten an area, insurance and risk analysis firms begin crunching the numbers. Teams of mathematicians, statisticians, meteorologists and structural engineers work from combined data sources to make准确估计损坏

数据包括天气预报,预计赢d speeds, past insurance claims from similar affected areas, and the structural details of buildings in the predicted path of the hurricane. Knowing the estimated damage costs helps insurance companies setreserves of resources to pay claims, plan where to send accessors, and develop strategic plans for covering wide-spread damage, such as those the 2017 hurricane season caused.

The last data factor, understanding individual buildings, is where Geomni specialises. The complete data packages the firm creates contains detailed information about a property, including measurements for roofs, windows, walls, doors and more. The packages also include the capture of data about surrounding structures, such as patios, pools and landscaped assets. This accurate data gives accessors a在图片之前完成when需要比较after a destructive event occurs.

“With that understanding, our aim is to capture and process high-resolution aerial oblique imagery and other types of geospatial data of as many properties as possible across the entire United States,”Magnus Olson,Geomni数据战略高级副总裁。“We’ve been able to find thehigh-resolution imagery并用CityMapper精简我们的飞行过程。这种理解在之前的条件巨大的数据库个人结构is critical to being able to provide prompt, accurate assessments of damage after any event.”


确保简化的工作流程



As a proud, self-sufficient company, Geomni searched for afaster and more reliable way to provide its clients the detailed imagery需要快速造成损害估计和过程索赔付款。通过区域分散的飞机和每个配备CityMapper的组合,该公司现在提供results in days在依赖于外部承包商捕获空中图像时,而不是月份。

今天,Geomni有自己的舰队的飞机在中心s strategically located across the United States, many of which are equipped with CityMapper airborne sensors. The ability to provide both LiDAR and oblique imagery in one pass with the world’s first hybrid airborne sensor is alsobringing new opportunitiesto the firm.

“通过两种类型的数据,我们有更多的灵活性来接管不同类型的工作,”奥尔森说。“Not only can we serve our core markets, like insurance, but we’re also expanding into traditional geospatial markets, such as surveying and mapping.”

由于科学家预测气候变化继续提升飓风和其他自然事件,因此需要更好地理解这些性质威胁的结构。高品质的空中图像提供不仅理解基本结构的手段,还提供了一种方法建筑物和周围资产的详细信息that could possibly be affected. The more that is known about these structures, the more capable insurance companies are to provide needed resources and the better able communities will be to recover from disasters.




Though Geomni supports post-disaster response, the company’s main focus is baseline imagery. Also collected with the CityMapper, baseline imagery is collected on a yearly basis with bi-annual updates. Geomni aims to fly all cities and urban areas in the United States with a population of 15,000 or more, and it makes tailored baseline imagery available according to customers’ unique needs.

Geomni服务了各种行业,如房地产,建筑和景观,其核心提供了这一基线图像。特定属性可用的详细数据使这些专业人员能够在就业方面进行准确投标所需的信息。此外,推动其对灾后响应的支持,基线图像Geomni收集,并将CityMapper实施到其工作流程中的最初意图,也显着提高了灾后分析的价值。

“通过使用基线图像,用户在起草投标时更快,更高效;“格雷斯奥尔森,地理策略高级副总裁Magnus Olson表示,他们确切地知道他们需要完成的工作。”“在Geomni,我们的工作是使我们的客户能够通过提供最准确的可能数据来完成最佳工作。”

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Reciba Lasúltimas认证Acerca de Nuestra Revista记者。
Reciba Lasúltimas认证Acerca de Nuestra Revista记者。

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