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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 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
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
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Wildfires Datasets

Dataset Platforms Instruments Temporal Extent Location Keywords Spatial Extent Data Format
ABoVE: Active Layer Soil Characteristics at Selected Sites Across Alaska FIELD SURVEYS CORING DEVICES 2016-08-09 to 2018-07-07 ALASKA 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 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 FIELD SURVEYS SURVEYING TOOLS 2017-01-01 to 2022-12-31 ALASKA N: 65 S: 64.4 E: -146.1 W: -148.9 CSV
ABoVE: Burn Severity of Soil Organic Matter, Northwest Territories, Canada, 2014-2015 LANDSAT-8, FIELD SURVEYS, MODELS OLI, TIRS, GPS, Computer 2014-05-01 to 2015-10-01 ALBERTA, NORTHWEST TERRITORIES 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 Terra, LANDSAT, Aqua MODIS, OLI, TIRS 2001-01-01 to 2019-12-31 NORTHWEST TERRITORIES, YUKON TERRITORY, CANADA, ALASKA 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 FIELD SURVEYS, MODELS STEEL MEASURING TAPE, SOIL SAMPLER, CLINOMETERS, GPS, Computer 2016-05-30 to 2016-06-16 SASKATCHEWAN 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 FIELD SURVEYS, LANDSAT PROBES, SOIL MOISTURE PROBE, TM 2017-07-26 to 2017-07-28 ALASKA 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 FIELD SURVEYS, MODELS, LABORATORY CLINOMETERS, Computer, MASS SPECTROMETERS 2015-06-14 to 2015-06-14 NORTHWEST TERRITORIES N: 71.6947 S: 56.2542 E: -102 W: -136.119 CSV
ABoVE: Ignitions of ABoVE-FED Fires in Alaska and Canada COMPUTERS Computer 2001-01-01 to 2019-12-31 ALASKA, CANADA 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 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
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