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 Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Distribution of Estimated Stand Age Across Siberian Larch Forests, 1989-2012 | 1 | LANDSAT, MODELS, Terra | ETM+, TM, Computer, MODIS | 1989-01-01 to 2012-12-31 |
N: 67 S: 49 E: 143 W: 90 |
GeoTIFF | |
| Fire Intensity and Burn Severity Metrics for Circumpolar Boreal Forests, 2001-2013 | 1 | COMPUTERS, Terra, Aqua | Computer, MODIS | 2001-01-01 to 2013-12-31 |
N: 80 S: 40 E: 180 W: -180 |
GeoTIFF | |
| Fire Particulate Emissions from Combined VIIRS and AHI Data for Indonesia, 2015-2020 | 1 | Himawari-8, COMPUTERS, Suomi-NPP | AHI, Computer, VIIRS | 2015-07-04 to 2020-12-31 |
N: 10.1 S: -11 E: 153 W: 89 |
CSV | |
| 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: 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: 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 | |
| Forest Inventories and DBH at Burned and Unburned Forest Sites, Acre, Brazil, 2017 | 1 | FIELD SURVEYS | STEEL MEASURING TAPE, VISUAL OBSERVATIONS | 2017-10-07 to 2017-12-13 |
N: -9.75418 S: -10.0833 E: -67.2818 W: -68.1477 |
multiple | |
| Forest Inventories at Burned and Unburned Tropical Forest Sites, Acre, Brazil, 2014 | 1 | FIELD SURVEYS | STEEL MEASURING TAPE | 2014-07-01 to 2014-08-31 |
N: -9.73446 S: -9.89909 E: -67.0199 W: -67.637 |
CSV | |
| Global Fire Atlas with Characteristics of Individual Fires, 2003-2016 | 1 | COMPUTERS, Terra, Aqua | Computer, MODIS | 2003-01-01 to 2016-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| 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 | |
| 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 | |
| LBA-ECO CD-05 Forest Understory Fuel Loads, Paragominas, Para, Brazil: 2001 | 1 | FIELD INVESTIGATION | BALANCE | 2001-01-01 to 2001-01-01 |
N: -2.983 S: -2.983 E: -47.516 W: -47.516 |
CSV | |
| LBA-ECO CD-05 Understory Fuel Stick Moisture, km 67 Site, Para, Brazil: 1998-2000 | 1 | FIELD INVESTIGATION | BALANCE | 1998-10-09 to 2000-11-17 |
N: -2.75 S: -2.75 E: -55 W: -55 |
CSV | |
| LBA-ECO LC-02 Forest Flammability Data, Catuaba Experimental Farm, Acre, Brazil: 1998 | 1 | FIELD INVESTIGATION | VISUAL OBSERVATIONS | 1998-06-01 to 1999-09-30 |
N: -10.073 S: -10.073 E: -67.629 W: -67.629 |
CSV | |
| LBA-ECO LC-02 GOES-08 Hot Pixel Data from Acre, Brazil: 1998, 2000, and 2001 | 1 | GOES-8 | GOES-8 Imager | 1998-08-01 to 2001-10-30 |
N: -7.37 S: -11.14 E: -66.63 W: -73.58 |
CSV | |
| LBA-ECO LC-08 Passive Ground-based Fire Data, Para and Mato Grosso Brazil: 2001-2002 | 1 | FIELD INVESTIGATION | VISUAL OBSERVATIONS | 2002-07-12 to 2002-07-15 |
N: -9.7 S: -15.7 E: -55.1 W: -56.5 |
CSV | |
| LBA-ECO LC-23 ASTER and MODIS Fire Data Comparison for Brazil: 2003-2004 | 1 | Terra, Aqua | MODIS, ASTER | 2003-01-19 to 2004-02-07 |
N: 5 S: -11 E: -54 W: -68 |
multiple | |
| LBA-ECO LC-23 Characterization of Vegetation Fire Dynamics for Brazil: 2001-2003 | 1 | Terra, NOAA-12, Aqua | MODIS, AVHRR | 2001-01-01 to 2003-12-31 |
N: 5.3 S: -33.75 E: -34.8 W: -74 |
multiple | |
| 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 |
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 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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