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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 | |
|---|---|---|---|
| SOTO | State of the Ocean (SOTO) is an interactive web-based tool that generates informative maps, animations, and plots that communicate and prove the discovery and analysis of the state of the oceans. | Analysis, Search and Discovery, Visualization | |
| 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 | |
| Vertex | Vertex is a graphical search interface for finding synthetic aperture radar (SAR) data. | Search and Discovery, Access, Downloading, Processing, Subsetting | |
| 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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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 Datasets
| Dataset | Platforms | Instruments | Temporal Extent | Location Keywords | Spatial Extent | Data Format |
|---|---|---|---|---|---|---|
| Distribution of Estimated Stand Age Across Siberian Larch Forests, 1989-2012 | 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 | 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 | Himawari-8, COMPUTERS, Suomi-NPP | AHI, Computer, VIIRS | 2015-07-04 to 2020-12-31 | INDONESIA | N: 10.1 S: -11 E: 153 W: 89 | CSV |
| Forest Inventories and DBH at Burned and Unburned Forest Sites, Acre, Brazil, 2017 | 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 | 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 | |
| Geocoded Disasters (GDIS) Dataset | MODELS | Computer | 1960-01-01 to 2018-12-31 | GLOBAL | N: 90 S: -58 E: 180 W: -180 | CSV, Geodatabase, GeoPackage, RData, PDF, PDF, PNG |
| Global Cyclone Hazard Frequency and Distribution | MODELS | Computer | 1980-01-01 to 2000-12-31 | GLOBAL | N: 85 S: -58 E: 180 W: -180 | ASCII, PNG, PDF, WMS |
| Global Cyclone Mortality Risks and Distribution | MODELS | Computer | 2000-01-01 to 2000-12-31 | GLOBAL | N: 85 S: -58 E: 180 W: -180 | ASCII, DBF, PDF, PNG, WMS |
| Global Cyclone Proportional Economic Loss Risk Deciles | MODELS | Computer | 2000-01-01 to 2000-12-31 | GLOBAL | N: 86 S: -58 E: 180 W: -180 | ASCII, PDF, PNG, WMS |
| Global Cyclone Total Economic Loss Risk Deciles | MODELS | Computer | 2000-01-01 to 2000-12-31 | GLOBAL | N: 86 S: -58 E: 180 W: -180 | ASCII, DBF, PDF, PNG, WMS |
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Frequently Asked Questions
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