In order to monitor and assess damage from wildfires accurately and rapidly science has looked to remote sensing techniques of applying spectral burn indices to high optical imagery to extract information on the fire's burned area extent and severity.
This post shares applications, maps, data and/or publications that support infrastructure restoration in the aftermath of a disaster. Restoration scenarios might include, but are not limited to system resilience, economic cost models, environmental damage, system interdependency, and their integration into models, tools, datasets and maps.
This tool uses the Voyager search engine to find Florence flood images using USGS aerial images from the Hazard Data Distribution System (HDDS). Each search result provides the image, metadata, and download links.
The VIIRS Floodwater Fraction Map Products Web App is a tool that displays daily flood extents covering the entire CONUS derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) aboard the joint NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi-NPP) satellite.
The National Weather Service (NWS) Damage Assessment Toolkit (DAT) has been utilized experimentally since 2009 to assess damage following tornadoes and convective wind events. The DAT is a GIS-based framework for collecting, storing, and analyzing damage survey data, utilizing the Enhanced Fujita (EF) scale for the classification of damage.
HIFLD Open provides National foundation-level geospatial data within the open public domain that can be useful to support community preparedness, resiliency, research, and more. The data is available for download as CSV, KML, Shapefile, and accessible via web services to support application development and data visualization.
Civil Air Patrol supports American communities with emergency response, diverse aviation, and ground serves. CAP has the technological ability to perform even when the impact from severe weather affects power, internet, phones, and flight takeoffs, making it a crucial and inexpensive method for FEMA to the get the imagery they need quickly and effectively.
The Model & Data Inventory (MoDI) is an inventory of datasets and models used by emergency management. The inventory was based on a federal interagency effort led by FEMA and the Modeling and Data Working Group (MDWG).