The CnOpenData US Daily Wildfire Smoke Data systematically compiles wildfire and associated smoke monitoring data across the United States, encompassing two core datasets: first, the US Daily Wildfire Data, which includes detailed information such as fire location, detecting satellite, radiative power, and ecosystem type; second, the US Daily Smoke Data, documenting smoke coverage, concentration levels, spatiotemporal distribution, and polygonal geometric features. This dataset features continuous temporal coverage and comprehensive geographical scope, making it suitable for multidisciplinary research and applications in environmental science, public safety, climate change, and risk management.
Key Features:
- High Spatiotemporal Precision: The data is updated daily and identifies specific state/county-level geographic locations (including FIPS codes and CBSA codes), supporting granular spatiotemporal analyses.
- Multidimensional Indicators: Beyond basic fire and smoke records, it includes derived metrics such as FRP (Fire Radiative Power), smoke concentration levels, polygonal area and perimeter, and shape indices to meet diverse research needs.
- Structured and Integrable: Field designs incorporate both original English field names and Chinese interpretations, supplemented with detailed documentation to facilitate user comprehension and cross-platform integration.
Application Value:
- Environmental and Climate Research: Supports correlation analyses of wildfire frequency, smoke dispersion patterns, and climatic factors, aiding wildfire prediction models and carbon emission assessments.
- Public Health and Safety Management: Integrates smoke concentration and coverage data to evaluate air quality impacts on public health, informing public health decision-making.
- Disaster Risk Assessment and Insurance Modeling: Provides historical spatial distributions of fire points and smoke for disaster risk zoning, property loss evaluation, and insurance product pricing.
- Geospatial and Planning Applications: Includes polygonal geometric attributes (area, perimeter, shape index) applicable to land-use planning, ecological conservation, and regional development analyses.
The CnOpenData US Daily Wildfire Smoke Data, characterized by its systematic, multidimensional, and high-precision attributes, delivers reliable data support for scientific research, policy formulation, and commercial analysis. Whether conducting long-term environmental trend studies or real-time disaster assessments, this database provides comprehensive, structured foundational information to facilitate in-depth exploration and evidence-based decision-making in related fields. Researchers and practitioners are encouraged to explore and utilize this data resource.
Temporal Coverage
2003–2025
Field Specifications
Sample Data
US Daily Wildfire Data
US Daily Smoke Data
Update Frequency
Irregular updates