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3 Results - Ambee profile banner
Based in India
We are at the front line of the techno-environmental revolution. Working towards a clean, healthy world. Our technology and knowledge can help governments... - Meteomatics profile banner
Based in Switzerland
Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. A single API endpoint to acce... - Earthmetry profile banner
Based in India
Earthmetry accelerates the transition to sustainable use of our planet’s resources by enabling data-driven decision-making. Through our Signals platform, we ...
Datasets for India
ESG focused - CoreLogic profile banner
Based in USA
CoreLogic (NYSE: CLGX) is a leading global property information, analytics and data-enabled solutions provider. The company's combined data from public, cont...
Based in USA
RMS is a data provider offering Cyber Risk Data, Geological Data, Sovereign Credit Rating Data, and Wildfires Data. They are headquartered in United States o...
NASA EarthData
Based in USA
NASA EarthData
NASA EarthData is a data provider offering Air Quality Index, Climate Data, Land Use Data, Pollen Data, and 3 others. They are headquartered in United States...

The Ultimate Guide to Wildfires Data 2021

Learn about wildfires data analytics, sources, and collection.

What is Wildfires Data?

Wildfires are unforeseen, undesirable, and uncontrolled fires that mostly occur in areas of flammable vegetation. On a universal scale, wildfires are a crucial phenomenon that must be taken into account as they are major causes of economic and environmental degradation. Therefore, wildfire data is an important tool that helps scientists, researchers, and policy-makers to prepare for projected risks and response to catastrophic events, in addition to assisting in projecting future events and doing an analysis of post-event repercussions.

How is Wildfires Data collected?

The United States National Aeronautics and Space Administration (NASA) is the largest contributor of wildfire data collection. NASA’s satellite devices are usually the first to identify wildfires ravaging remote regions, and the precise geographical points they relate to. Once the data is collected by the satellites, it is then sent directly to land managers across the globe within hours of the satellite capture and overpass. Working in conjunction with NASA’s Jet Propulsion Laboratory in Pasadena, NASA’s instruments spot actively burning fires, trail the movement of smoke from the fires, give data that is crucial for fire management, and calculate the extent of transformation of the ecosystem as a result of the fires.

What are the attributes of Wildfire Data?

The wildfire data collected by NASA satellite instruments facilitates near-real-time (NRT) monitoring and the consequent decision-making process. Therefore, the key attributes of wildfire data consist of the following aspects:

• NRT aerosols/smoke plumes - This refers to aerosols and suspended particulates in the air that consists of smoke and dust from burning fires that can be spotted and measured by NASA Earth-observing satellites.
• Smoke plumes in NRT - The data highlights the spatial scattering and strength of smoke plumes.
• Aerosol optical depth - This data indicates the level at which particulates in the air (aerosols) inhibits light from passing through the atmosphere onto the surface of the earth.
• NRT active fires and thermal hotspots

What is Wildfire Data used for?

Wildfires data is used in numerous ways by scientists, researchers, land managers, and government agencies policymakers. Wildfire data is important in the aspect of climate forecasts. When data on precipitation, soil moisture, drought severity, topography, land surface temperature, and vegetation density is collected and analyzed, land or wildlife managers can conduct pre-fire mapping to show the most likely areas that are at high risk. Wildfire data on near real-time wildfire data that assesses the projected mapping of the total area burned and fire radioactive energy can be applied in evaluating risk in a certain area and as a result, advance a highly strategized response to the catastrophe. In the aftermath of a wildfire, wildfire data can be applied in the process of post-mapping, incorporating total burned data, burn severity, and vegetation regrowth.

How can a user assess the quality of Wildfire Data?

In assessing the quality of wildfire data, there are several questions that the user ought to ask concerning the important aspects of the wildfire. These questions include:

• Does the data indicate how big the monitored fire is likely to grow?
• Does the data highlight which high valued resources and assets (HVRAs) have the greatest exposure to wildfire hazard?
• How does the intensity of the wildfire likely to affect the HVRAs?
• Does the data show the extent to which the fires are bound to cause harm or damage?
• Does the data point out the risk distribution of fire across various landscapes?
• Does the wildfire data give a forecast of the geographical areas that most likely to experience loss?

Who are the best Wildfires Data providers?

Finding the right Wildfires Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Wildfires Data providers that you might want to buy Wildfires Data from are Ambee, Meteomatics, Earthmetry, CoreLogic, and RMS.

Where can I buy Wildfires Data?

Data providers and vendors listed on Datarade sell Wildfires Data products and samples. Popular Wildfires Data products and datasets available on our platform are Ambee: Fire Data API - Real-Time Global Coverage of Wildfires by Ambee, Meteomatics Fire Indices - Forest, bush or grass fires by Meteomatics, and Earthmetry Fire Events in India (summarized by location, district, state) by Earthmetry.

How can I get Wildfires Data?

You can get Wildfires Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Wildfires Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Wildfires Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Wildfires Data?

Wildfires Data is similar to Weather Data, Air Quality Index, Pollen Data, Climate Data, and Marine Data. These data categories are commonly used for .