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 Data Access and Tools
Wildfires Datasets
| Dataset | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| Arctic Boreal Annual Burned Area, Circumpolar Boreal Forest and Tundra, V2, 2002-2022 | 2 | COMPUTERS, Terra | Computer, MODIS | 2002-01-01 to 2022-12-31 |
N: 83.626 S: 50 E: 177.16 W: -179.522 |
COG | |
| Global Fire Emissions Database, Version 2.1 | 2 | TRMM, Terra, ERS-2 | VIRS, MODIS, ATSR | 1997-01-01 to 2005-12-31 |
N: 89.5 S: -89.5 E: 179.5 W: -179.5 |
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 | |
| Tree Mortality from Fires and Bark Beetles at 1-km Resolution, Western USA, 2003-2012 | 1.1 | FIELD SURVEYS, Airplane, COMPUTERS, SATELLITES | VISUAL OBSERVATIONS, Computer, QUICKBIRD/BHRC-60 | 2003-01-01 to 2012-12-31 |
N: 52.0938 S: 28.4705 E: -100.538 W: -130.435 |
GeoTIFF | |
| ABoVE: Synthesis of Post-Fire Regeneration Across Boreal North America | 1.1 | FIELD SURVEYS | VISUAL OBSERVATIONS, Computer | 1989-01-01 to 2018-12-31 |
N: 66.9617 S: 49.1156 E: -71.0133 W: -152.2 |
CSV | |
| ABoVE: Wildfire Date of Burning within Fire Scars across Alaska and Canada, 2001-2019 | 1.1 | COMPUTERS, SATELLITES | Computer, MODIS | 2001-01-01 to 2019-12-31 |
N: 70.1592 S: 41.7456 E: -53.8267 W: -178.841 |
Shapefile | |
| ABoVE: Discovering Data at a Regional Level Booklets | 1 | LANDSAT-7, SATELLITES, Airplane, FIELD SURVEYS | ETM+, MODIS, S-SAR, P-SAR, GPS, VISUAL OBSERVATIONS, SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, SURVEYING TOOLS | 2014-01-01 to 2025-12-31 |
N: 73.9893 S: 42.98 E: -35.5078 W: -172.617 |
multiple | |
| An integrated Wildfire Event Dataset (iWED), Version 1, Continental U.S., 1992-2021 | 1 | COMPUTERS | Computer | 1992-01-01 to 2021-12-31 |
N: 71.1503 S: 25 E: -67.6 W: -178.821 |
CSV | |
| CARDAMOM Carbon-Water-Energy Reanalysis v1100.1, 2001-2021 | 1 | GOSAT, OCO-2, MODELS, Terra, Aqua | TANSO-FTS-2, OCO SPECTROMETERS, Computer, MODIS | 2001-01-01 to 2021-12-31 |
N: 82 S: -54 E: 180 W: -180 |
multiple | |
| FireSense: Balloon Vertical Profile Measurements, Missoula, MT, USA, 2024 | 1 | BALLOONS | RADIOSONDES | 2024-08-28 to 2024-08-29 |
N: 46.8556 S: 46.2265 E: -113.03 W: -113.996 |
multiple | |
| FireSense: Balloon Vertical Profile Measurements, Fort Drum, NY, USA, 2024 | 1 | BALLOONS | RADIOSONDES | 2024-04-08 to 2024-04-08 |
N: 44.2759 S: 43.9079 E: -74.499 W: -75.5416 |
multiple | |
| FireSense: UAS Vertical Profile Measurements, Fort Drum, NY, USA, 2024 | 1 | UAV | SONIC ANEMOMETER, RADIOSONDES | 2024-04-08 to 2024-04-08 |
N: 44.2476 S: 44.2475 E: -75.5402 W: -75.5404 |
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 | |
| Circumpolar Fire Polygons with NBR, dNBR, RdNBR Metrics and Ecoregions, 1986-2020 | 1 | COMPUTERS | Computer | 1986-01-01 to 2020-12-31 |
N: 84.0695 S: 33.6975 E: 179.99 W: -179.99 |
GeoPackage | |
| ABoVE: Boreal Forest Resilience Study 2020-2022, Fairbanks AK | 1 | FIELD SURVEYS | SURVEYING TOOLS | 2017-01-01 to 2022-12-31 |
N: 65 S: 64.4 E: -146.1 W: -148.9 |
CSV | |
| Impacts of Wildfires on Boreal Forest Ecosystem Carbon Dynamics | 1 | MODELS, LANDSAT-1 | Computer, MSS | 1986-01-01 to 2020-12-31 |
N: 70 S: 43.5 E: -53 W: -166 |
CSV | |
| Understory Vegetation Biomass from Selected Burned and Unburned sites in Alaska | 1 | FIELD SURVEYS | SURVEYING TOOLS | 2016-08-09 to 2018-07-11 |
N: 68.991 S: 63.8799 E: -146.558 W: -150.28 |
CSV | |
| ABoVE: Ignitions of ABoVE-FED Fires in Alaska and Canada | 1 | COMPUTERS | Computer | 2001-01-01 to 2019-12-31 |
N: 73.0144 S: 44.9058 E: -52.8945 W: -166.189 |
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 | |
| Simulated Fine Particulate Matter (PM2.5) Estimates over Alaska, 2001-2015 | 1 | COMPUTERS | Computer | 2001-05-10 to 2015-09-28 |
N: 71 S: 51 E: -128 W: -178 |
COG | |
| ABoVE: Cumulative Annual Burned Area, Circumpolar High Northern Latitudes, 2001-2015 | 1 | Terra, COMPUTERS | MODIS, Computer | 2001-01-01 to 2015-12-31 |
N: 72.5917 S: 60 E: 179.154 W: -179.814 |
Shapefile | |
| Post-fire Recovery of Soil Organic Layer Carbon in Canadian Boreal Forests, 2015-2018 | 1 | FIELD SURVEYS | VISUAL OBSERVATIONS, CHN ANALYZERS, CORING DEVICES | 2015-06-11 to 2018-08-24 |
N: 68.3256 S: 59.7883 E: -104.194 W: -132.671 |
CSV | |
| ABoVE: Active Layer Soil Characteristics at Selected Sites Across Alaska | 1 | FIELD SURVEYS | CORING DEVICES | 2016-08-09 to 2018-07-07 |
N: 68.5596 S: 63.8801 E: -146.558 W: -149.533 |
multiple | |
| SAFARI 2000 Global Burned Area Map, 1-km, Southern Africa, 2000 | 1 | SPOT-4 | MULTI-SPECTRAL | 2000-01-01 to 2000-12-31 |
N: 18 S: -35 E: 55 W: -18 |
Shapefile | |
| SAFARI 2000 Emissions Estimates, MODIS Burned Area Product, Dry Season 2000 | 1 | Terra | MODIS | 2000-08-31 to 2000-09-30 |
N: 0.3389 S: -34.1425 E: 46.6473 W: 9.6738 |
Shapefile |
Featured Observation Method: VIIRS
NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) provides active data for fire management and wildfire alert systems.
Wildfires Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| 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 | |
| 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 VEDA project is an open-source science cyberinfrastructure for data processing, visualization, exploration, and GIS capabilities. | Access, Analysis, Processing, Visualization, Geoprocessing |
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