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Modelling Wildfire Risk
Committed To Securing Livelihoods
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Quantifying Wildfires & Bushfires Risk
As more and more people settle in areas where wildfires are likely to burn, highly developed commercial and residential areas are being consumed by wildfires that once raged across large expanse of forests and grasslands. The losses from these wildfires (or bushfires) rival those of other natural catastrophes, such as floods, cyclones or earthquakes.
Every year wildfire and bushfires cause billions of insured losses in the U.S., Southern Europe and Australia, respectively and these numbers will continue to rise as wildland-urban interface is further increases.
Today’s extreme conditions that are a result of a warming planet due to climate change compels the industry to accurately and timely locate and
model wildfires as they start and propagation due to many factors including drive ignition, wind, presence of vegetation, spread, etc. This will enable insurers, reinsurers, governments, and financial institutions to characterise dangerous structures from those that are safe. It will also aid in organising and carrying out risk assessments, estimating potential damages, accurately valuate fire hazard, and optimize risk transfer.
Infinite Observations ZineQx advanced probabilistic Wildfire Catastrophic Model helps to monitor and manage the risk associated with each policy, whether individual or commercial, or entire portfolio’s of properties.





Wildfire Catastrophe Models
Modelled Regions :
Click a region to see countries or islands where courage is available.
North America
Europe
Middle East
Central America & Caribbean
Asia & Pacific
Latin America
Africa
Australia
North America
Canada
United States
Mexico
Central America
Belize
Costa Rica
El Salvador
Honduras
Nicaragua
Panama
Caribbean
The Greater Antilles
Cuba
Puerto Rico
Jamaica
Cayman Islands
Hispaniola:
Haiti
Dominican Republic
Lucayan Archipelago
Bahamas
Turks and Caicos Islands
Lesser Antilles (Leeward Islands)
Anguilla (UK)
Saint Martin (Fr.)
Sint Maarten (Neth.)
Saint-Barthélemy (Fr.)
Saba (Neth.)
Sint Eustatius (Neth.)
Saint Kitts
Nevis
Antigua
Barbuda
Redonda
Bermuda
Montserrat (UK)
Guadeloupe (Fr.)
La Désirade (Fr.)
Marie-Galante (Fr.)
Les Saintes archipelago (Fr.)
St. Thomas (US VI)
St. John (US VI)
St. Croix (US VI)
Water Island (US VI)
Tortola (UK VI)
Virgin Gorda (UK VI)
Anegada (UK VI)
Jost Van Dyke (UK VI)
Aruba (Neth.)
Curaçao (Neth.)
Bonaire (Neth.)
La Orchila
La Tortuga
La Blanquilla
Margarita Island
Coche
Cubagua
Los Roques Archipelago
Lesser Antilles (Windward Islands)
Dominica
Martinique (Fr.)
Saint Lucia
Barbados
Saint Vincent
Grenadines
Carriacou
Petite Martinique
Grenada
Trinidad
Tobago
South America
Argentina
Bolivia
Chile
Cayman Islands
Colombia
Ecuador
Guyana
Guiana (Fr.)
Paraguay
Peru
Suriname
Uruguay
Venezuela
Europe
Andorra
Austria
Belgium
Bulgaria
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Italy
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Monaco
Netherlands
Norway
Poland
Russia
Spain
Sweden
Switzerland
Turkey
United Kingdom
Vatican City
Asia & Pacific
East Asia
China
Hong Kong (China)
Macau (China)
Japan
North Korea
South Korea
Taiwan
South Asia
Bangladesh
India
Maldives
Sri Lanka
South Asia
Brunei
Cambodia
Indonesia
Laos
Malaysia
Myanmar
Philippines
Singapore
Thailand
Timor-Leste
Vietnam
Australasia
Australia
New Zealand
Melanesia
Fiji
New Caledonia (Fr)
Papua New Guinea
Solomon Islands
Vanuatu
Micronesia
Guam (US)
Kiribati
Marshall Islands
Nauru
Northern Mariana Islands (US)
Wake Island (US)
Polynesia
American Samoa (US)
Cook Islands (NZ)
Easter Island (Ch)
French Polynesia (Fr)
Niue (NZ)
Norfolk Island (A)
Tonga
Tuvalu
Samoa
Wallis and Futuna (Fr)
Wildfire Risk Vulnerability, Exposure & Risk Modelling



High-Resolution Wildfire Model
Infinite Observations provides a comprehensive view of wild- and bushfires in U.S., Southern Europe and Australia. Three components are necessary to be able model wildfires adequately: (1) Fuel: Our model leverages cutting-edge technology of remote-sensing to obtain high-resolution spatial layers that consistently identifies fire behaviour fuel model (FBFM’s) classes (based on the nature and type of vegetation) and distribution, analogous to those of Anderson. (2) Weather (or meteorological dataset): Wind direction and velocity, temperature, relative humidity, precipitation, aridity effect the development, intensity and propagation of fires. (3) Topography is relatively static in nature compared to the fire. Topological factors such as slope, elevation and orientation towards the sun dictates fire propagation. These three components serve as input for a mathematical surface fire behaviour and spread algorithm, analogous to that of Rothermel.
Quantifying Wildfire Losses
To be able to assess wildfire losses Infinite Observations has developed a high-resolution exposure database. This database contains a spatial and temporal multi-fire event catalogue and the latest information on risk counts, building characteristics such as construction materials of roof and wall-siding materials, building height, occupancy, inventory and construction costs as well as business disruption from a wide variety of international, regional and local industry sources. Base on all this information (weighted) damage functions for risk exposure are determined and used to estimate the losses. Our wildfire models are validated against results from industry loss data, post-disaster damage surveys, historical events data, scientific and engineering research data and reports. The model can be validated in its entirety or each component can be validated independently to ensure a most robust and scientifically rigorous model as possible.




Associated Applications
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Drought
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Environment
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Human, Life & Health
Life, health and longevity face many uncertainties in our ever-changing world. The global increase of infectious diseases and the resulting pandemics, the global threat of …
ZineQx - Infinite Observations
