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Global Wildfire Incidence Dataset
Data Science and Analytics
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Free
About
This dataset offers information on natural wildfires that occurred worldwide in 2022. It provides crucial data to understand these global events. The dataset's accuracy and completeness have been enhanced through a series of specialised processes within a GIS environment, including the deletion of areas smaller than 1 square kilometre and the correction of spatial errors in wildfire locations.
Columns
- ID: A unique identifier assigned to each individual wildfire event.
- Initialdate: Specifies the start date when a wildfire began.
- Finaldate: Indicates the end date when a wildfire concluded.
- Area_ha: Details the area of the wildfire measured in hectares.
- Area_m2: Provides the area of the wildfire expressed in square metres.
- Area_Km2: Represents the area of the wildfire in square kilometres.
- CountryName: Identifies the country where the wildfire took place.
- Continent: Specifies the continent where the wildfire occurred.
- Region: Denotes the geographical region within a continent where the wildfire was located.
Distribution
The dataset is available as a CSV file, specifically named
GlobalFireBurnedArea_2022.csv, with a file size of 40.61 MB. It comprises 319,279 rows (records) and 9 distinct columns. This structured format is suitable for detailed analysis.Usage
This dataset is ideal for research, educational, and operational applications. Specific use cases include:
- Assessing the environmental impacts resulting from natural wildfires.
- Developing and refining wildfire forecasting models.
- Improving wildfire management strategies and responses.
Coverage
The dataset provides global coverage for natural wildfires observed throughout the year 2022. Initial fire dates range from 1st January 2022 to 31st December 2022. Final fire dates in the dataset span from 1st January 2022 up to 27th February 2023. Geographically, Africa accounts for a significant portion of the recorded events (75%), with the Democratic Republic of the Congo and Angola being prominent countries. Middle Africa is the most frequently represented region.
License
CC BY-SA 4.0
Who Can Use It
- Environmental Researchers and Scientists: For studying wildfire patterns, their ecological impact, and developing predictive models.
- Educators and Students: As a valuable resource for learning about natural disasters, climate change effects, and geographical information systems.
- Government Agencies and Policy Makers: To inform wildfire prevention strategies, resource allocation for fire management, and climate resilience planning.
- Data Analysts and Modellers: For building and validating models related to environmental risks and disaster prediction.
Dataset Name Suggestions
- Global 2022 Wildfire Burned Area Data
- Worldwide Natural Fire Data 2022
- Global Wildfire Incidence Dataset
- Annual Wildfire Burn Statistics
- GWIS Global Fire Data 2022
Attributes
Original Data Source: Global Wildfire Incidence Dataset
QUALITY