Remote Sensing Aircraft Supports Disaster Remote Sensing Aircraft - - PowerPoint PPT Presentation

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Remote Sensing Aircraft Supports Disaster Remote Sensing Aircraft - - PowerPoint PPT Presentation

Remote Sensing Aircraft Supports Disaster Remote Sensing Aircraft Supports Disaster Response Mark Foster Computer Sciences Corp. NASA Ames Research Center CENIC 2008 ! March 10!12, 2008 1


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SLIDE 1

Remote Sensing Aircraft Supports Disaster

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Remote Sensing Aircraft Supports Disaster Response

Mark Foster Computer Sciences Corp. NASA Ames Research Center

CENIC 2008 ! March 10!12, 2008

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SLIDE 2

Outline

  • Disaster Scenarios
  • Remote Sensing Aircraft: Ikhana
  • Data collection and redistribution
  • Field Retrieval of Data/Imagery
  • 2
  • Field Retrieval of Data/Imagery
  • Successes, feedback
  • Affiliated efforts: Google NASA Disaster

Response Project

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SLIDE 3

Disaster Scenarios

  • fire

– Zaca Fire ! Santa Barbara – Harris Fire ! San Diego – Lick Fire ! Bay Area

  • large scale flooding
  • regional earthquake
  • 3
  • regional earthquake
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SLIDE 4

Geospatial Data for Disaster Response

  • awareness is essential

– identify problem areas and priorities – plan logistics, search and rescue – fix access routes and staging areas

  • multiple data types & sources

– satellite and aerial imagery

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– satellite and aerial imagery – ground sensors (fixed & mobile) – discrete and streaming data feeds

  • multiple users must be supported

– government, commercial, non!profits – US&R, fire, police, community, etc. – range of experience, knowledge, needs

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SLIDE 5

Ikhana: Unmanned Science and Research Aircraft System

  • Predator B!derived to support

Earth Science missions and advanced aeronautical technology development

  • testbed to improve utility of

unmanned aerial systems

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unmanned aerial systems

  • designed for long!endurance,

high!altitude flight; modified and instrumented for multiple civil research roles

  • 2400 lbs of instruments, can fly

18K!29K ft, or above 41K ft

  • Up to 24 hr data collection flight
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SLIDE 6

Ikhana Autonomous Modular Scanner

  • 12 spectral channels,

from visible through reflective, mid! and thermal infrared

  • detects thermal

temperature differences from 0.5 to approx. 1,000 degrees F

  • 6

1,000 degrees F

  • spatial resolution 50 ft at

20,000 ft altitude

  • PI: Vince Ambrosia,

NASA Ames Research Center (http://geo.arc.nasa.gov) installing AMS in under!wing sensor pod

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SLIDE 7

Ikhana Mission Planning Process

Display: Google Earth

Publish

HTTP Server

Generate mission plan

Select

kml

  • Google

Earth

Weather

NWS, NRL

MODIS

USFS, UMD

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Select Targets

Google Earth

Generate Flight plan

text

Fire Incidents

USGS, NIFC NWS, NRL

Flight Restrictions

FAA

(Collaborative Decision Environment: courtesy Francis Enomoto,NASA ARC)

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SLIDE 8

Data Collection/Distribution

  • sensor data

preprocessed on!board

  • data downlink via

geosynchronous satellite

  • additional data
  • processing,
  • verlay

NASA Ames

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processing, merge with Google Earth data at NASA ARC

  • prepare for

redistribution to Incident Command

  • Google

Earth

  • verlay

geo data prep for redistribution

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SLIDE 9

CDE: Dynamic Data Display, Instant Messaging, Real!time Video

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SLIDE 10

Collaborative Decision Environment: Google Earth client

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Real!time 3!D rendering and fly through of acquired fire imagery (CDE courtesy Francis Enomoto, NASA ARC)

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SLIDE 11

Ikhana Support for Harris Fire

  • sophisticated thermal!

infrared imaging equipment peers through smoke and haze

  • hot spots (in yellow) are

concentrated on the ridgeline in the left

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ridgeline in the left center of the photo

  • images aid Incident

Commanders in allocating resources

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SLIDE 12

Data Retrieval in the Field

  • cell, wireless (HPWREN)

when possible

  • NASA DARTCOM, NREN:

portable satellite ground station

– serve isolated command center

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center – higher data rate possible: better fidelity images, improved interactivity – supports data, voice, video capabilities – can provide ethernet, 802.11 for local access

  • field deployable KU Band Satellite dish
  • 2.8m
  • 10 shippable cases
  • 1!30 Mbps bidirectional
  • NASA Ames permanent ground station

provides a seamless and fully secured link to NASA Ames and internet resources

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SLIDE 13
  • supported emergency request by CA!

Governor’s OES, NIFC!NICC, FEMA

  • deployed team within 24!hours of request
  • flew four missions over

SoCA fires on Oct 24, 25, 26, 28

  • delivered data to all fire Incident

Commands (ICs) and county and city Emergency Ops Center’s via CDE

  • > of data from ARC server
  • Support for SoCA Firestorms
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  • > of data from ARC server
  • >!" of CDE / day

during six!day period of mission

  • provided burn area assessment imagery to

support recovery efforts simultaneously with active fire imagery collection

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SLIDE 14

Incident Command on the Lick Fire:

  • !"

!" !" !"

  • #

# # # $ $ $ $

  • %

% % %

  • &

& & & # # # #

  • #

# # #

  • $

$ $ $ # # # # # # # #

  • #

# # # ' ' ' '

WSFM Flights Feedback – Aug / Sept 2007

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Situation Unit Leader on Moonlight Fire:

  • &(((((#(()(

&(((((#(()( &(((((#(()( &(((((#(()( ((((#((#(( ((((#((#(( ((((#((#(( ((((#((#(( ((((($((( ((((($((( ((((($((( ((((($((( *(((+($((( *(((+($((( *(((+($((( *(((+($((( (((' (((' (((' ((('

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SLIDE 15

Google NASA Disaster Response Project

  • objectives

– produce software tools that make a difference – make disaster response faster & better – help save lives and property

  • approach

– improve situational awareness after an event

#

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– improve situational awareness after an event – make geospatial data easy to acquire & use – develop and release open!source tools

  • focus areas

– rapid response imaging – user interfaces (command post & mobile) – outreach & community building

(courtesy Terry Fong, NASA ARC)

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SLIDE 16

GeoCam: Low!cost Geospatial Imaging

  • $

%&'

!

$"'( )*&+

  • $

,

  • '.
  • 16

*/- $

  • %,(,##

1 $

(courtesy Terry Fong, NASA ARC)

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SLIDE 17

Automatic Google Earth Overlays

2

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  • geo!referenced image billboards

– enable first responders to manage (and synchronize) large data sets – situational & spatial awareness – replace manual workflow (print, identify, cut, paste, I)

  • features
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%

  • %

automatic import of new images (auto!update KML) – position and orientation of camera & image are indicated – billboards can be interactively explored at full resolution – searchable tags + custom icons (e.g., FEMA markings)

(courtesy Terry Fong, NASA ARC)

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SLIDE 18

Summary

, Provide significant societal benefit

from NASA!sponsored earth science, technology and models; can be applied to state, regional and national emergencies.

  • Illustrates the success of the

approach of the NASA Applied Science Program to drive science to implementation for the

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to implementation for the betterment of the community.

  • The capabilities demonstrated are

currently being implemented by the fire management agency partners. Opportunities exist for other agency partnerships.

  • Higher bandwidth service to Incident Command sites and EOC’s is crucial

to maximize utility and capability.

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SLIDE 19

Thank You ! Questions?

Mark Foster Computer Sciences Corp NASA Ames Research Center mark.foster @ nasa.gov

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mark.foster @ nasa.gov More info on wildfire research: geo.arc.nasa.gov/sge/WRAP