Wildfire Risk Extreme is designed as a companion product to Preciselys Wildfire Risk USA. The potential for wildfire exposure is a growing hazard as temperatures rise, wildland fuels accumulate, and people continue to build structures in areas of elevated wildfire risk. Wildfire Risk Extreme provides an up-to-date, scientific model that accurately captures wildfire risk under severe conditions, for every location in the United States. This sample data set is limited to the Marin County, CA area.
The potential for wildfire exposure is a growing hazard as temperatures rise, wildland fuels accumulate, and people continue to build structures in areas of elevated wildfire risk. Wildfire Risk Extreme provides an up-to-date, scientific model that accurately captures wildfire risk under severe conditions, for every location in the United States. This sample data set is limited to the Marin County, CA area.
Wildfire Risk Extreme was designed as a companion product to Preciselys existing Wildfire Risk. Wildfire Risk Extreme includes temperature, relative humidity, and maximum wind speeds under fire conditions that occur only 1 percent of the time. Additionally, the direction of predominant winds in an area provides insight provides insight into where communities may be vulnerable. Also, for the first time, the threat from urban conflagration (fires that are no longer carried by wildland fuel but by the ignition of structures by other structures) is modeled. This new product offers a nationwide wildfire hazard and risk assessment tool that incorporates the predicted severity (hazard) and predicted frequency (risk) or wildfire at a given location.
Many wildfire-related datasets are delivered in a format that divides the landscape into square grids. A square has very little relation to how a fire burns and the variation from square to square can be difficult to interpret. Wildfire Risk Extreme takes a different approach: All the datasets Wildfire Risk Extreme uses to create a final analysis (many of which come in a grid format) are integrated into polygons that reflect the landscape and how wildfires would actually burn within that landscape. Wildfire Risk Extreme divides the data into firesheds that are based on the topography (hills and valleys) of the landscape. These firesheds correlate to vegetation or wildland fuels and determine how a fire might burn and behave. This means that firesheds are more likely to divide geography into landscape-based units that exhibit similarities in vegetation, slope, and resultant fire behavior. The Wildland and Intermix modules in Wildfire Risk Extreme use the concept of firesheds to aggregate the landscape.
Wildfire Risk Extreme also accounts for the fact that firesheds are impacted by wildfire effects from outside of their boundaries. A fireshed may be mostly covered by a meadow but surrounded by volatile timber or chaparral (a California reference). If a structure exists in the meadow, it is not only subject from the grass fuel in the fireshed, but also to fire embers in the surrounding firesheds vegetation. To account for this, Wildfire Risk Extreme incorporates adjacent fireshed values into the threat profile for every fireshed, providing a more realistic definition of the fire environment.
Wildfire Risk Extreme uses the concept of dividing the landscape into relative amounts of built environment (structures, roads, and other infrastructure) versus pure wildland fuels. The rationale for this distinction is that wildland fires behave differently when burning in pure wildland areas than when burning through fuel that is interrupted by structures and roads. Similarly, suppression of wildland fires is conducted differently (and with varying degrees of success) in remote areas compared to densely populated areas. Wildfire Risk Extreme captures these differences by categorizing the landscape into four separate wildfire risk types, each of which modeled with its own set of inputs and methodology:
Wildland
Intermix
Interface
Ember/Flame Impingement Zone
Product is available in a number of GIS and database loadable formats.
This is a subset of the full products geographic extent. The full commercial offering features geographic coverage of the entire United States.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing is a free sample dataset with a single pricing dimension: Product Access (Units). You subscribe at no cost, and that one unit grants access to the wildfire risk sample data for the USA. There are no tiers, usage add-ons, or scaling charges. The sample lets you evaluate the data structure and coverage before considering a paid dataset. Because pricing is free, your cost does not change with how much you access.
Top-of-mind questions for buyers
What does one unit of Product Access grant for this wildfire risk sample?
One unit gives you subscriber access to the wildfire risk sample data for the USA. It is a single access grant, not a per-record or per-query charge. The sample lets you download and evaluate the data structure, coverage, and format before deciding on a paid dataset.
Will my cost change based on how much of the sample data I access?
No. This listing is free, so your cost stays the same no matter how often you access or download the sample. There are no usage tiers, overage charges, or scaling fees tied to volume. The single Product Access unit covers your evaluation use.
What is included in the sample compared to a full dataset?
The sample provides a limited portion of wildfire risk data for the USA. It is meant for testing data structure, accuracy, and fit within your own environment and analytics workflows. It does not include the full dataset coverage or attributes, which the vendor offers separately as a paid product.
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