Wild Fire

The top ten per cent most valuable homes in the western United States are 70% more likely to be in high wildfire hazard areas than median-value properties, measured by county, according to a new study.
Experimental forecast calls for a larger-than-average fire season this summer.
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This paper assesses how the Himawari-8 satellite can be used for active fire detection. Satellite sensors are an important source of observations of fire activity. Next generation geostationary satellites provide earth observations very frequently.
This year’s wildfires, compounded by a record-breaking heatwave, is leading to a spike in respiratory diseases among mountain communities
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This contributing paper takes a look at the use of radio occultation to infer temperature and improve modeling for wildfire risk. 
Wildfires are a worldwide problem requiring global collaboration to successfully manage and minimise the risk of occurrence. Artificial intelligence algorithms, combined with end-to-end fire management systems, are powerful tools for combating wildfires.
Satellite- and ground-based observations of Australia and British Columbia blazes help increase resolution of models.
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The purpose of this contributing paper is to demonstrate scalable and replicable methods to advance and integrate the use of Earth observations to support risk-informed decision making, based on documented national and subnational needs and requirements.
The First Street Foundation launches the First Street Foundation Wildfire Model, estimating the risk of wildfire on a property-by-property basis across the United States today, and up to 30 years into the future.
As wildfires devastate swathes of the Western United States, parts of the Midwest and East Coast also face an increasing threat due to accelerating climate change risks, researchers say.