Remote Sensing: Correlating Satellite Images with In-field Observations for Advanced Damage Detection

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1 Remote Sensing: Correlating Satellite Images with In-field Observations for Advanced Damage Detection ImageCat, Inc. Shubharoop Ghosh Beverley J. Adams, Ph.D. ImageCat, Inc. J. Arn Womble, P.E. Texas Tech University Wind Science and Engineering

2 Scope of Work Use remote sensing technologies and the VIEWS TM reconnaissance system in post Katrina urban damage assessment Use in-field observations to correlate and validate nature and extent of damage detected from Satellite images

3 The Remote Sensing Team Field Reconnaissance Shubharoop Ghosh ImageCat, Inc. J. Arn Womble, P.E. Becca Edwards Andrea Gamret Texas Tech University Carol Hill, P.E. Andy Roberts Dean Dixon Louisiana State University Lab-based based Support Beverley Adams, Ph.D. Charles K. Huyck Paul R. Amyx Michael Z. Mio ImageCat, Inc. Jane Stoyle Michelle Zuppa David Parisi MCEER

4 Objectives for the Field Deployment Team Storm surge effects assessment Flood inundation damage assessment Inundation damage evaluation adjacent to levee breaches Wind damage assessment

5 Geographic extent of deployment and study sites New Orleans Waveland Gulfport Bay St. Luis Ocean Springs Gautier Biloxi Pascagoula Phase I: MS Gulf Coast Phase II: New Orleans Image courtesy: USGS Landsat

6 Overview of Post-Katrina Remote Sensing Data NASA NOAA* USGS Spot DigitalGlobe Space Imaging USACE NOAA* Low/moderate- resolution optical and radar High/moderate- resolution optical satellite imagery High resolution airborne

7 Overview of Post-Katrina Remote Sensing Data Images courtesy: DigitalGlobe/ ImageCat

8 Overview of Post-Katrina Remote Sensing Data Photo Credit: NOAA

9 Remote Sensing for Damage Assessment Damage Category 1. Storm surge effects 2. Flood inundation damage 3. Inundation damage adjacent to levee breach General Approach Mapping of Surge-line from High Resolution Imagery (NOAA, DigitalGlobe) Damage Observation in Storm Surge areas along the Gulf coast collected using VIEWS TM reconnaissance system Delineation of Flood-line Rapid Airborne flood mapping using VIEWS TM Examples of Flood Inundation damage in New Orleans Damage Observation in the Levee breach areas in New Orleans collected using VIEWS TM reconnaissance system 4. Wind damage effects Compare preliminary NOAA windspeed map with ASCE- 7 map in Mississippi (MS) and Louisiana (LA) Examples of Wind Damage Effects in MS collected using VIEWS TM reconnaissance system

10 1. Storm Surge Effects Photo Credit: NOAA Surge line Extreme damage

11 2. Flood Inundation Damage Rapid airborne mapping using VIEWS TM Flood status August 30 th Extreme Moderate Low or none Satellite image-based Flood line delineation Flood status Sept 3rd 2005 Boundary of Extreme flooding

12 3. Inundation damage adjacent to levee breach Photo Credit: NOAA 17 th street canal levee breach No flooding Flooding

13 4. Wind Damage Effects Windspeed Estimate: mph (sustained at 10m) BEFORE AFTER Aerial image courtesy: NOAA

14 VIEWS TM Reconnaissance ImageCat, Inc.

15 Damage Validation

16 Preliminary Ground-Truthing Damage Category 1. Storm Surge Effects Ground-Truthing Data Collection Accuracy Assessment of the Surge- line using VIEWS TM reconnaissance system 2. Flood Inundation Damage Accuracy Assessment of the Flood- line using VIEWS TM reconnaissance system Flood damage observation catalogue for different building types and lifeline utilities for a hurricane of Katrina s magnitude 3. Wind Damage Effects Wind damage observation catalogue for different building types and lifeline utilities for a hurricane of Katrina s magnitude

17 In-field data collection with VIEWS TM in Mississippi Waveland Bay St. Louis Biloxi Gulfport Ocean Springs Photo Credits: Landsat Gautier Pascagoula

18 In-field data collection with VIEWS TM in New Orleans Photo Credits: Landsat

19 Storm surge effects: Pascagoula, MS Photos Credit: NOAA

20 Flood inundation damage: New Orleans, LA Images courtesy: ImageCat/DigitalGlobe

21 Wind damage effects: Bay St. Louis, MS Photo Credit: NOAA Photo Credit: NOAA

22 VIEWS TM and Google Earth VIEWS/ GOOGLE EARTH

23 Thank You! Shubharoop Ghosh

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