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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 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
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
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
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Natural Hazards Datasets

Dataset Platforms Instruments Temporal Extent Location Keywords Spatial Extent Data Format
GPM Ground Validation Global Flood Monitoring System (GFMS) Flood Maps IFloodS V1 DMSP, Aqua, TRMM, NOAA POES SSM/I, SSMIS, AMSR-E, TMI, AMSU-B 2013-03-26 to 2013-06-30 GLOBAL N: 49.875 S: -49.875 E: 179.875 W: -179.875 netCDF-4 - ASCII
GRIP Hurricane and Tropical Storm Forecasts V1 MODELS Computer 2010-08-12 to 2010-11-14 ATLANTIC OCEAN N: 87.6 S: 0.8 W: -178.5 ASCII
HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK NAVIGATION V1 GLOBAL HAWK GPS, INS 2012-09-06 to 2014-09-30 NORTH ATLANTIC OCEAN N: 51.5268 S: 7.55657 E: -19.4239 W: -174.843 ASCII - XML
HURRICANE AND SEVERE STORM SENTINEL (HS3) WORLD WIDE LIGHTNING LOCATION NETWORK (WWLLN) STORMS V1 WWLLN GPS, RF ANTENNA, VLF RECEIVERS 2012-08-28 to 2014-10-20 NORTH ATLANTIC OCEAN N: 68.994 S: 12.9 E: -15.001 W: -116.595 netCDF-4 - ASCII
Impacts of Wildfires on Boreal Forest Ecosystem Carbon Dynamics MODELS, LANDSAT-1 Computer, MSS 1986-01-01 to 2020-12-31 UNITED STATES OF AMERICA N: 70 S: 43.5 E: -53 W: -166 CSV
LBA-ECO CD-05 Forest Understory Fuel Loads, Paragominas, Para, Brazil: 2001 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 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 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 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 FIELD INVESTIGATION VISUAL OBSERVATIONS 2002-07-12 to 2002-07-15 N: -9.7 S: -15.7 E: -55.1 W: -56.5 CSV
SHOWING 10 OF 115

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