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Natural Hazards Data Access and Tools
From discovery to visualization, data tools such as the SEDAC Hazards Mapper and NASA's Flooding Days Projection Tool guide users in making the most of natural hazards data.
Natural Hazards 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 Global High-Resolution Extreme Heat Estimates (GEHE), 1983-2016 | 1.00 | MODELS | Computer | 1983-01-01 to 2016-12-31 |
N: 90 S: -90 E: 180 W: -180 |
GeoTIFF | |
| Annual Summary of Artificial Light At Night from VIIRS/S-NPP at CONUS County and Census Tract V1 (ALAN_VIIRS_CONUS) at GES DISC | 1 | Suomi-NPP | VIIRS | 2012-01-01 to 2020-12-31 |
N: 49.99792 S: 20.00208 E: -60.00208 W: -129.9979 |
||
| 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 |
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
NASA’s worldwide Fire Information for Resource Management System (FIRMS) provides vital near real-time tools for managing wildland fires.
7 MIN READ
Image captured on July 17, 2024, by the VIIRS instrument aboard the joint NASA/NOAA NOAA-20 satellite.
Natural Hazards Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| AppEEARS | The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes. | Search and Discovery, Subsetting, Customization, Downloading, Visualization | |
| EONET | Use NASA Earth Observatory's Natural Event Tracker to look for natural events as they occur all across the planet. | Access, Data Curation, Monitoring Natural Events | |
| 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 | |
| FLOOD | The FLOOD viewer facilitates the use and evaluation of LANCE flood products by allowing the user to browse globally and over time, and to compare to other flood products. | Monitoring Natural Events, Search and Discovery, Visualization | |
| Giovanni | Giovanni is a web application for accessing, visualizing, and analyzing Earth science remote sensing data without downloading the data. | Search and Discovery, Analysis, Access, Visualization, Downloading, Subsetting | |
| GUARDIAN | The GNSS-based Upper Atmospheric Realtime Disaster Information and Alert Network (GUARDIAN) is a near real-time (NRT) ionospheric monitoring tool for natural hazards warning. | Monitoring Natural Events | |
| 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 | |
| Hurricane Intensity Estimator | NASA's Hurricane Intensity Estimator is an online platform that demonstrates the use of a machine learning model for estimating the wind speed of hurricanes. | Visualization, Monitoring Natural Events | |
| NYS FIDSS Mapper | The New York State Flood Information Decision Support System Mapper is an easy-to-use mapping tool visualizes building footprint data for nearly all New York State’s infrastructure, except New York City. | Visualization | |
| OpenAltimetry | OpenAltimetry is a map-based visualization tool for exploring surface elevation data across Earth over time. | Analysis, Search and Discovery, Visualization |
SHOWING 10 OF 15
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