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Interactive Simulation Awareness Workshop Universitry of California – San Diego 25 May 2010

INNOVATIVE SOLUTIONS FOR AIRBORNE FIRE MONITORING: UAS, INTELLIGENT SENSORS, AND DATA VISUALIZATION SYTEMS. Vince Ambrosia NASA - Ames Research Center. NASA. 870. Interactive Simulation Awareness Workshop Universitry of California – San Diego 25 May 2010. “Build It and They Will Come”.

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Interactive Simulation Awareness Workshop Universitry of California – San Diego 25 May 2010

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  1. INNOVATIVE SOLUTIONS FOR AIRBORNE FIRE MONITORING: UAS, INTELLIGENT SENSORS, AND DATA VISUALIZATION SYTEMS Vince Ambrosia NASA - Ames Research Center NASA 870 Interactive Simulation Awareness Workshop Universitry of California – San Diego 25 May 2010

  2. “Build It and They Will Come” “NASA Science Serving Society”

  3. “Turning Swords Into Plowshares”Adaptation of UAVs to Support Civilian Use NASA Ikhana with Sensor Pod under-wing mount NASA “Ikhana” UAV The Ikhana is a derivative of the Predator B (MQ-9) “Reaper” UAV, designed as a NASA science and research platform. “Ikhana” is a Native American Choctaw-nation word meaning: “Intelligence, Conscience or Aware” Length: 36 feet, Wingspan: 66 feet Operations: ~50K ft; Endurance: ~24-hours Speed: 170-200 kts Payload: 2400 lbs of instruments Max T/O weight: 10,500 pounds C&C and sensor telemetry: C-band (local) & Ku-band (global) Autonomous Modular Sensor (AMS)

  4. Sensor System: AMS Wildfire Instrument AMS Wildfire Sensor Two environmental enclosures (data disks & GPS; and power supplies & controllers) Data System Enclosure Band Wavelength m 1 0.42 - 0.45 2 0.45 - 0.52 (TM1) 3 0.52 - 0.60 (TM2) 4 0.60 - 0.62 5 0.63 - 0.69 (TM3) 6 0.69 - 0.75 7 0.76 - 0.90 (TM4) 8 0.91 - 1.05 9 1.55 - 1.75 (TM5) (high gain) 10 2.08 - 2.35 (TM7) (high gain) 11 3.60 - 3.79 (VIIRS M12) (high gain) 12 10.26 - 11.26 (VIIRS M15) (high gain) 13 1.55 - 1.75 (TM5) (low gain) 14 2.08 - 2.35 (TM7) (low gain) 15 3.60 - 3.79 (VIIRS M12) (low gain) 16 10.26 - 11.26 (VIIRS M15) (low gain) Total Field of View: 42.5 or 85.9 degrees (selectable) IFOV: 1.25 mrad or 2.5mrad ( “ ) Spatial Resolution: 3 – 50 meters (variable) Scan Head

  5. Automated On-Board Processing Develop automated on-board product-generation processes for different collection scenarios: Day / Night fire imagery; R/T Hot Spot (Fire) Algorithms; R/T BAER and Post-Fire NBR Algorithms Hot Spot Detection Day Night Station Fire, CA Normalized Burn Ratio BAER “NASA Science Serving Society”

  6. Basin Fire, 7/8/2008 Flight plan and MODIS fire data, Oct. 24, 2007 WMS viewer Rice Fire 10/24-25/2007 San Diego EOC, Oct 2007 Status updates Group IM Streaming Video Collaborative Decision Environmentsupporting UAV wildfire monitoring missions • Objectives: • Integrate varied decision support data sets in one application • Disseminate flight status and near-real-time sensor data • Collaborate between remote users • Client Apps: Google Earth, Openlayer, Jabber, QuickTime, Twitter • CDE used by mission and incident management teams during 2007, 2008 and 20009 wildfire seasons.

  7. COLLABORATIVE DECISION ENVIRONMENTReal-Time Information Sharing and Visualization • Users • Mission Development Team • Data Products Users • Goals • Mission planning • Situational awareness • Data visualization • Collaboration among distributed team

  8. Sensor Data Visualization Procedure for viewing sensor data in CDE • Camera placemarks appear when images are available • Click on icon to display thumbnail image • Download image from server • “Hot Pixel” detections are available on separate layer • Adjust 3D view of data draped on terrain

  9. Web-Map Services Data Access An enhanced browser-based viewer allows fire images and flight tracks to be displayed on a user-selectable base-map layer. Currently available base map layers include road, satellite and hybrid maps from Yahoo, Google and OpenStreetMap. Microsoft's "Bing" base maps will also be incorporated in the final version (2010). “NASA Science Serving Society”

  10. WSFM Flights 2007 Moonlight Fire (CA) August 16 (10 Hrs) CA August 29-30 (16 hours); CA, NV, UT, ID, MT, WY September 7-8 (20 hrs) CA, OR, WA Sept 27(10 hrs) CA BAER Imagery Castle Rock Fire (ID)

  11. So. CA Missions October 2007 ~1350 nm / mission ~9 hour missions October 24 October 25 October 26 October 28

  12. SoCA Firestorms Mission Summary Grass Valley & Slide Fire CDE In-Use at San Diego County EOC Poomacha / Witch Fires Santiago Fire

  13. 2008 No CA Firestorm Missions Cub Complex Piute Fire Basin Fire

  14. 2009 Station Fire Mission Flight Plan & Route Sensor Swath Visualization BAER Imagery

  15. Using Instruments Together: SensorWeb Early Days Baby Steps The Teenage Years • Manual coordination of • acquisitions (telephone • calls and Post-It notes). • Handcrafting of images • and derived products. • Filled critical need, in • above case (Oct. 2003 • So. California wildfires). • Use of GOES sounder to • determine which of two • alternative targets is • likely to be cloud free. • EO-1 added onboard • classification algorithms. • Multiple images collected • 2004-2006 fire seasons. • Coordination of multiple • assets (MODIS, EO-1, • ASTER and Ikhana UAS). • USAF cloud predicts. • OGC-compliant data and • processing interfaces. • Bi-directional tasking and • flight planning (2007-2009). THE FUTURE: Automated on-demand tasking and processing of multiple, heterogeneous self-registered assets including orbital, airborne and in situ sensors. Optimization of the tasking plan, post-processing, and delivery of the data are transparent to the end-user. Flight hardware segment (IPM) capable of conducting complex and custom image processing onboard with near real-time distribution to the end user via Direct Broadcast. Classifier Toolbox for ease of use.

  16. SensorWeb 3G in NASA SensorWeb Extend Access and Standards into Flight Software Earth Observing 1 (EO-1) cFE/SWAMO HyspIRI SCL/ASE Alaska Ground Station NASA/AMES Predator Ikhana Midshipman Space Technology Application Research (MidSTAR) cFE/SWAMO Terra and Aqua Berkeley Ground Station WCPS GMSEC Users Naval Academy Ground Station Dryden igloo ST-5 FlatSat Control Centers I N T E R N E T

  17. Next Steps • Continued support to the Nation in 2010 & 11 with wildfire imaging capabilities on NASA and other agency (USFS) platforms. • Transfer NASA- (and industry)-derived capabilities to operational entities • Collaborate with International community to share and transfer capabilities. “NASA Science Serving Society”

  18. Accessing the Wildfire CDE Step 1: Add Network Link Step 2: Enter URL: http://sggate.arc.nasa.gov:9518/GoogleEarth/CDE.kml

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