Damage Assessments – Hurricane Harvey

Summary Geospatial damage assessments were produced for certain impacted areas of Hurricane Harvey using Modeled Preliminary Observation Depth Grids.


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Damage Assessments – Hurricane Maria

Summary Geospatial damage assessments were produced for certain impacted areas of Hurricane Maria using NOAA Imagery and Modeled Preliminary Observation Depth Grids.


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Puerto Rico & USVI Building Outlines

Summary 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.


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Damage Assessments – Hurricane Nate

Summary Modeled coastal damage assessments were produced for Hurricane Nate using Modeled Preliminary Coastal Depth Grids.


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Modeled Depth Grids – Hurricane Nate

Summary 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.


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Forecasted Flood Depth Grids – Hurricane Harvey

Summary Forecasted flood depth grids were generated for Hurricane Harvey 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.


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Forecasted Flood Depth Grids – Hurricane Irma

Summary 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.


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NOAA Damage Assessment Toolkit (DAT)

Summary 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. Data collected from individual locations […]


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Modeled Tornado Damage Assessments

Summary This GIS-based tornado damage assessment model incorporates US national parcel data, the National Weather Service’s (NWS) Damage Assessment Toolkit (DAT) tornado path polygons and damage functions based on the Enhanced Fujita (EF) scale damage indicators used by the National Oceanic and Atmospheric Administration (NOAA) to rate tornadoes according to structural impacts. The model has […]


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Modeled Depth Grids – California & Nevada Flooding

Summary Depth grids were modeled using stream gauges for the 2017 California/Nevada flooding disaster event.


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Preliminary Earthquake Exposure Model

Summary 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 model is initiated by an Event Pinger, which checks for new earthquake events every 5 minutes. Outputs include a Hazard […]


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