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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 | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 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 | |
| ABoVE: AVHRR-Derived Forest Fire Burned Area-Hot Spots, Alaska and Canada, 1989-2000 | 1 | NOAA-11, NOAA-14, MODELS | AVHRR, Computer | 1989-05-01 to 2000-10-31 |
N: 69.007 S: 41.7216 E: -53.1678 W: -165.186 |
Shapefile | |
| 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 | |
| ABoVE: Burn Severity of Soil Organic Matter, Northwest Territories, Canada, 2014-2015 | 1 | LANDSAT-8, FIELD SURVEYS, MODELS | OLI, TIRS, GPS, Computer | 2014-05-01 to 2015-10-01 |
N: 65.5514 S: 58.2864 E: -108.834 W: -124.03 |
multiple | |
| ABoVE: Burned Area, Depth, and Combustion for Alaska and Canada, 2001-2019 | 1 | Terra, LANDSAT, Aqua | MODIS, OLI, TIRS | 2001-01-01 to 2019-12-31 |
N: 72.9491 S: 42.885 E: -48.7792 W: -167.959 |
COG | |
| ABoVE: Characterization of Burned and Unburned Boreal Forest Stands, SK, Canada, 2016 | 1 | FIELD SURVEYS, MODELS | STEEL MEASURING TAPE, SOIL SAMPLER, CLINOMETERS, GPS, Computer | 2016-05-30 to 2016-06-16 |
N: 57.3646 S: 54.091 E: -104.693 W: -109.173 |
CSV | |
| ABoVE: Characterization of Burned and Unburned Spruce Forest Sites, Tanana, AK, 2017 | 1 | FIELD SURVEYS, LANDSAT | PROBES, SOIL MOISTURE PROBE, TM | 2017-07-26 to 2017-07-28 |
N: 65.2315 S: 65.0968 E: -151.951 W: -152.416 |
CSV | |
| ABoVE: Characterization of Carbon Dynamics in Burned Forest Plots, NWT, Canada, 2014 | 1 | FIELD SURVEYS, MODELS, LABORATORY | CLINOMETERS, Computer, MASS SPECTROMETERS | 2015-06-14 to 2015-06-14 |
N: 71.6947 S: 56.2542 E: -102 W: -136.119 |
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 | |
| ABoVE: Landsat-derived Burn Scar dNBR across Alaska and Canada, 1985-2015 | 1 | LANDSAT-8, LANDSAT-5, LANDSAT-7 | OLI, TM, ETM+ | 1985-01-01 to 2015-12-31 |
N: 71.3558 S: 50.2542 E: -101.736 W: -168.424 |
multiple | |
| ABoVE: Peak Greenness for Canadian Boreal Forest from Landsat 5 TM Imagery, 1984-2011 | 1 | LANDSAT-5 | TM | 1970-01-01 to 2014-12-31 |
N: 63.4406 S: 45.3217 E: -53.9102 W: -124.474 |
multiple | |
| ABoVE: Post-Fire and Unburned Field Site Data, Anaktuvuk River Fire Area, 2008-2017 | 1 | FIELD SURVEYS | SOIL DEPTH PROBE, VISUAL OBSERVATIONS | 2008-07-03 to 2017-07-23 |
N: 69.359 S: 69.0189 E: -150.034 W: -151.176 |
CSV | |
| ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2017 | 1 | FIELD INVESTIGATION | VISUAL OBSERVATIONS, SOIL MOISTURE PROBE | 2015-07-13 to 2017-08-10 |
N: 62.5827 S: 60.5236 E: -111.367 W: -117.379 |
multiple | |
| ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2018 | 1 | FIELD SURVEYS | SOIL MOISTURE PROBE, STEEL MEASURING TAPE | 2018-08-12 to 2018-08-22 |
N: 62.5658 S: 60.4524 E: -113.42 W: -117.425 |
CSV | |
| ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2019 | 1 | FIELD INVESTIGATION | SOIL MOISTURE PROBE, SOIL TEMPERATURE PROBE, SOIL DEPTH PROBE | 2018-08-16 to 2019-09-05 |
N: 62.5658 S: 60.9206 E: -113.016 W: -117.425 |
CSV | |
| ABoVE: Spatial Estimates of Carbon Combustion from Wildfires across SK, Canada, 2015 | 1 | MODELS | Computer | 2015-04-06 to 2015-08-11 |
N: 61.2389 S: 51.1943 E: -100.168 W: -116.055 |
GeoTIFF | |
| ABoVE: Synthesis of Burned and Unburned Forest Site Data, AK and Canada, 1983-2016 | 1 | MODELS, FIELD INVESTIGATION | Computer, PROBES, SOIL SAMPLER | 1983-01-01 to 2016-08-08 |
N: 67.2297 S: 53.1911 E: -88.612 W: -150.902 |
CSV | |
| 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 | |
| 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 | |
| Annual Burned Area from Landsat, Mawas, Central Kalimantan, Indonesia, 1997-2015 | 1 | LANDSAT | ETM+, TM, OLI | 1997-01-01 to 2015-12-31 |
N: -2.21458 S: -2.50241 E: 114.609 W: 114.39 |
Shapefile | |
| Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013 | 1 | Terra | MODIS | 2001-01-01 to 2013-12-31 |
N: 71.41 S: 24.2 E: -65 W: -178.22 |
GeoTIFF | |
| 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 | |
| Burned and Unburned Field Site Data, Noatak, Seward, and North Slope, AK, 2016-2018 | 1 | FIELD SURVEYS | SOIL MOISTURE PROBE, THERMOMETERS | 2016-07-22 to 2018-08-27 |
N: 69.6632 S: 65.0181 E: -148.641 W: -164.929 |
multiple | |
| CARVE: Alaskan Fire Emissions Database (AKFED), 2001-2013 | 1 | FIELD INVESTIGATION, MODELS, SATELLITES | Computer, MODIS | 2001-01-01 to 2013-12-31 |
N: 71.499 S: 58 E: -141 W: -168.5 |
GeoTIFF |
Featured Observation Method: VIIRS
NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) provides active data for fire management and wildfire alert systems.
Learn how to use NASA's Fire Information for Resource Management System (FIRMS) and its enhanced User Interface that provides additional services and analysis capabilities for wildfire management.
Geographer Veerachai Tanpipat promotes the use of NASA's Fire Information for Resource Management System (FIRMS) throughout the Lower Mekong River Region.
9 MIN READ
Image captured on July 17, 2024, by the VIIRS instrument aboard the joint NASA/NOAA NOAA-20 satellite.
NASA’s worldwide Fire Information for Resource Management System (FIRMS) provides vital near real-time tools for managing wildland fires.
7 MIN READ
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 | |
| 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 |
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Frequently Asked Questions
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