4/14/2024 0 Comments Map of fires in california 2017![]() In addition, the Northern California fires were predicted to cost the US economy at least $85 billion. The October 2017 fires were the costliest group of wildfires on record at the time, causing around $14.5 billion (2017 USD) in damages, including $11 billion in insured losses and $1.5 billion in fire suppression costs, surpassing the 1991 Oakland firestorm, which until then had been the single costliest fire on record. These wildfires were also the most destructive ones of the 2017 California wildfire season. These fires included the Tubbs Fire (which grew to become the most destructive wildfire in the history of California up until that time - fires in 2018 were more destructive), the Atlas Fire, Nuns Fire, and others. Seventeen separate wildfires were reported at that time. Pacific Gas and Electric reported that red flag conditions existed in 44 of the 49 counties in its service area. The wildfires broke out throughout Napa, Lake, Sonoma, Mendocino, Butte, and Solano Counties during severe fire weather conditions, effectively leading to a major red flag warning for much of the Northern California area. Twenty-one became major fires that burned at least 245,000 acres (99,148 ha). The October 2017 Northern California wildfires, also known as the Northern California firestorm, North Bay Fires, and the Wine Country Fires were a series of 250 wildfires that started burning across the state of California, United States, beginning in early October. Because of its finer spatial resolution (375 meters), it can detect smaller fires on the ground with a bit more accuracy.ĭetecting forest fires is just one of the hundreds of remote sensing and satellite applications in use today.Location of Northern California wildfires The 2017 Northern California wildfires from October 7 to October 14 VIIRS: Likewise, VIIRS on board the NASA/NOAA Suomi NPP detects active forest fires based on thermal anomalies.As explained above, it detects active fires by comparing temperature to neighboring pixels but it depends on the severity and extent of the fire. ![]()
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