The Evaporative Stress Index (ESI) is a global dataset produced weekly at 5-kilometer resolution for the entire globe, which can help reveal regions of drought where vegetation is stressed due to lack of water. Based on variations in land surface temperature, the ESI indicates how the current rate of ET compares to normal conditions.
The National Interagency Fire Center (NIFC) used National Infrared Operations (NIROPS ) to create fire heat extent layers by extracting values from the NIROPS thermal infrared imagery. The layer displays the daily change in the Camp Wildfire heat intensity and extent.
The Historical Damage Assessment Database is a repository of geospatial damage assessments from past National Disaster events where damage assessments were conducted either using high-resolution imagery or by means of geospatial modeling. The purpose of generating geospatial damage assessments is to provide rapid situational awareness of the number of structures impacted.
FEMA's Response Geospatial Office developed a workflow for detecting debris in NOAA imagery. For this product, a single tile Southeast of Mexico Beach was used for the feature extraction. The data is downloadable on FEMA's National Disasters FTP site.
The purpose of the FEMA Disaster Reporter is to crowdsource and share disaster-related information for events occurring within the United States, allowing citizens, first responders, emergency managers, community response & recovery teams, and others to view and contribute information on a publicly accessible map.
The Preliminary Earthquake Exposure Model is a suite of Python scripts that use authoritative hazard, structural, and vulnerability data in order to provide information to Emergency Managers immediately following a significant earthquake event.
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.
From September 22 - 26, 2017, the National Geodetic Survey (NGS) collected damage assessment imagery in the aftermath of Hurricane Maria. The aerial imagery was collected in specific areas identified by FEMA and the National Weather Service. You can access all of the images collected online.
Forecasted flood depth grids were generated for Hurricane Irma using the National Weather Service's (NWS) Advanced Hydrologic Prediction Service (AHPS) forecasted water levels. These depth grids allowed for pre-event planning and early estimated hazard exposure counts.
This spatio-temporal composite flood extent product was produced using 14 flood extents derived from SAR and Multispectral imagery acquired over the course of 4 days (Sept 20th – September 24th, 2017) by NASA MSFC SPoRT, Copernicus EMS, MDA Systems and ARIA NASA JPL/Caltech throughout Hurricane Maria using a wide range of sensors and sensor types as well as different derivation methodologies.
This spatio-temporal composite flood extent product was produced using 16 flood extents derived from SAR and Multispectral imagery acquired over the course of 8 days (Sept 10th – September 17th, 2017) by NASA MSFC SPoRT, Copernicus EMS, MDA Systems and ARIA NASA JPL/Caltech throughout Hurricane Irma using a wide range of sensors and sensor types as well as different derivation methodologies.
Modeled coastal surge depth grids were generated for Hurricane Nate. These depth grids are intended for use in a high-level analysis of flood depth impacts to buildings for geospatial damage assessments.
Geospatial scientists at Oak Ridge National Laboratory have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey, Irma and Maria. By coupling deep learning with high-performance computing, ORNL collected and extracted building outlines and roadways from high-resolution satellite and aerial images.
This spatio-temporal composite flood extent product was produced using 34 flood extents derived from SAR and Multispectral imagery acquired over the course of 11 days (Aug 26th – September 5th, 2017) by NASA MSFC SPoRT, Copernicus EMS, MDA Systems and ARIA NASA JPL/Caltech throughout Hurricane Harvey using a wide range of sensors and sensor types as well as different derivation methodologies.
Aerial imagery was collected for Puerto Rico in the days directly following Hurricane Maria (09/26/2017 - 10/24/2017). The intent was to quickly develop a snapshot of current conditions to help guide response efforts.