Eight people died in the fire, including three firefighters. Evacuations also took place in Summit City, Keswick, Lewiston, Shasta Lake City, Igo, Ono, and French Gulch. On July 26, the fire jumped the Sacramento River, making its way into the city of Redding, causing the evacuation of 38,000 people. Coincidental to the name of the incident, the fire was started when a flat tire on a vehicle caused the wheel's rim to scrape against the asphalt, creating sparks that set off the fire. The fire was reported on the afternoon of July 23, 2018, at the intersection of Highway 299 and Carr Powerhouse Road, in the Whiskeytown district of the Whiskeytown–Shasta–Trinity National Recreation Area. At its height, the fire engaged as many as 4,766 personnel from multiple agencies. The fire destroyed multiple towns around Whiskeytown Lake. The Carr Fire cost over $1.659 billion (2018 USD) in damages, including $1.5 billion in insured losses and more than $158.7 million in suppression costs. The Carr Fire destroyed at least 1,604 structures (at least 1,077 were homes) while damaging 277 others, becoming at the time the sixth-most destructive fire in California history (now the ninth-most destructive fire), as well as the thirteenth-largest wildfire recorded in modern California history (seventh-largest at the time). The Carr Fire was a large wildfire that burned in Shasta and Trinity Counties in California, United States. The darkest areas are the intersection of high population density and wildfire risk.Point of ignition of Carr Fire Perimeter of the Carr Fire based on orbital remote sensing Then by running Zonal Statistics as Table and joining the results back to the hexbins, we can see patterns of population density (blue) and wildfire risk potential (red). Here I was able to create 50 km 2 hexbins for the area of Southern California where I live and work using the Generate Tessellation tool. So if you’re running more regional analyses, these image services really come in handy. ĭownloading the data from the USFS for each state or the nation can take hours – they’re multiple gigabytes each. The three data layers that depict developed areas were created using Microsoft building footprints and U.S. Most of the data layers are based on mapping of fuels and topography from the LANDFIRE program and subsequent fire behavior modeling. We are beginning work already on version 2.0 of the Wildfire Risk to Communities datasets, which we plan to complete before summer of 2022. With current processes, that is likely to happen roughly every two years. We plan to update the data layers whenever the primary input datasets get updated. By summarizing any of the data by communities, users can then compare their ratings against any other community, find communities with analogous risk profiles, and share experiences, challenges, and success stories with peer communities about their wildfire mitigation efforts. This can be useful in prioritizing areas most in need of mitigation work to make them more resilient. Our Risk to Potential Structures (aka Risk to Homes) layer can help to compare the relative risk of wildfire to a home between any two locations. The layers we created as part of the Wildfire Risk to Communities project are targeted at local land use planners, fire departments, and elected officials but we think neighborhood associations and homeowners will find them useful too.Ĭan you give an example of how someone can use the layers to analyze wildfire risk in their area? Which audiences or sectors can benefit most from this data? Increasingly, we’re also working on getting fire science information out to the general public. We’re a group of analysts, ecologists, and fire behavior specialists at the Missoula Fire Sciences Lab that focuses on application of fire science to a broad community of fire management and land management professionals. Forest Service’s Fire Modeling Institute, about this new collection of wildfire risk products.Ĭan you describe what you and your team do at the Fire Modeling Institute? Esri’s resident fire expert Chris “Fern” Ferner and I were able to speak with Greg Dillon, director of the U.S.
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