Wildfires Data Access and Tools
NASA data examine many aspects of fires and the processes related to their origins and results, from lightning detection tracking to burn scar analysis. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.
Wildfires Datasets
| Dataset Sort descending | Version | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| MASTER: Airborne Science, Southwest US, May, 2011 | 1 | NASA ER-2 | MASTER | 2011-05-15 to 2011-05-23 |
N: 38.8226 S: 31.9522 E: -101.25 W: -120.234 |
multiple | |
| MASTER: California Fire-Burn Area Emergency Response, California, April 2008 | 1 | B-200 | MASTER | 2008-04-14 to 2008-04-26 |
N: 37.8333 S: 32.5333 E: -116.55 W: -122.583 |
multiple | |
| MASTER: FireSense, California and Southern US, Spring 2025 | 1 | B-200 | MASTER | 2025-03-17 to 2025-04-18 |
N: 33.4811 S: 30.2467 E: -81.6656 W: -116.044 |
multiple | |
| MASTER: FireSense, western US, October 2023 | 1 | B-200 | MASTER | 2023-10-16 to 2023-10-26 |
N: 39.2058 S: 33.0192 E: -112.052 W: -120.169 |
multiple | |
| MASTER: Student Airborne Research Program (SARP) campaign, California, USA, 2016 | 1.2 | NASA ER-2 | MASTER | 2016-06-17 to 2016-06-18 |
N: 35.846 S: 33.56 E: -118.333 W: -120.883 |
multiple | |
| MODIS/Terra+Aqua Direct Broadcast Burned Area Monthly L3 Global 500m SIN Grid V006 | 006 | Terra, Aqua | MODIS | 2000-11-01 to 2022-12-31 |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| MODIS/Terra+Aqua Direct Broadcast Burned Area Monthly L3 Global 500m SIN Grid V061 | 061 | Terra, Aqua | MODIS | 2000-11-01 to Present |
N: 90 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | HDF-EOS2 |
| NACP Regional: Gridded 1-deg Observation Data and Biosphere and Inverse Model Outputs | 1 | Terra, Aqua | MODIS | 1990-01-01 to 2007-12-31 |
N: 84 S: 10 E: -50 W: -170 |
Shapefile | |
| NACP: Forest Carbon Stocks, Fluxes and Productivity Estimates, Western USA, 1979-2099 | 1 | MODELS | Computer | 1979-01-01 to 2099-12-31 |
N: 49.0351 S: 31.1875 E: -101.961 W: -124.812 |
netCDF-4 classic | |
| NAFD-ATT Forest Canopy Cover Loss from Landsat, CONUS, 1986-2010 | 1 | LANDSAT-5, LANDSAT-7, MODELS | TM, ETM+, Computer | 1986-06-01 to 2010-09-15 |
N: 51.6785 S: 22.6911 E: -65.2025 W: -128.029 |
GeoTIFF |
Pagination
Wildfires Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| Earthdata Search | Earthdata Search enables data discovery, search, comparison, visualization, and access across NASA’s Earth science data holdings. | Search and Discovery, Access, Cataloging, Cloud Computing, Downloading | |
| FIRMS | The Fire Information for Resource Management System (FIRMS) provides access to satellite imagery, active fire/hotspots, and related products to identify the location, extent, and intensity of wildfire activity. | Access, Visualization | |
| Hazards Mapper | The Hazards Mapper enables users to rapidly get an idea of the population, land area, dams, and nuclear power plants that could be impacted by a wide range of natural events, including floods, earthquakes, fires, and volcanic eruptions. | Analysis, Search and Discovery, Visualization | |
| Panoply | Panoply is a cross-platform application that plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets. | Visualization, Customization, Reformatting, Subsetting, Comparison | |
| TESViS | The Terrestrial Ecology Subsetting & Visualization Services Global Subsets Tool provides on-demand, customized subsets of several terrestrial ecology data products. | Visualization, Subsetting | |
| VEDA | NASA's Visualization, Exploration, and Data Analysis (VEDA) project is an open-source science cyberinfrastructure for data processing, visualization, exploration, and geographic information systems (GIS) capabilities. | Access, Analysis, Processing, Visualization, Geoprocessing | |
| Worldview | Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. | Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events |
Frequently Asked Questions
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