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Fire and rain: earth-gazing with flying machines

Fire and rain: earth-gazing with flying machines

Teresa Howard & Gordon Wells

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  1. Fire and rain: earth-gazing with flying machines Teresa Howard &

    Gordon Wells The University of Texas at Austin Center for Space Research Texas GIS Forum, October 26, 2016
  2. Fire and Rain in 2016 & Flying machines • Too

    wet for major fires this year • Major floods of 2016: • March (TX & LA) • April (TX) • May/June (TX) • August (LA) • Airplanes: Texas Civil Air Patrol • Satellites: International Charter & US assets
  3. Austin, Texas: State Operations Center, June 8, 2016, at 1036

    CDT Texas Task Force 1 Texas Division of Emergency Management Texas Commission on Environmental Quality Texas Railroad Commission Texas Department of Transportation Texas Military Department Texas Department of Public Safety Texas A&M Forest Service Texas Public Utility Commission Texas General Land Office Texas Department of Criminal Justice Texas Parks & Wildlife Department Federal Emergency Management Agency NOAA - National Weather Service U.S. Geological Survey U.S. Army Corps of Engineers U.S. Department of Agriculture American Red Cross
  4. Landsat 8 OLI May 5, 2016 at 11:50 CDT Processed

    by the MAGIC DBRS, Center for Space Research, UT-Austin Richmond Rosharon West Columbia Angleton Lake Jackson Brazoria Brazos River Flood Pre-Event
  5. Landsat 8 OLI June 6, 2016 at 11:51 CDT Processed

    by the MAGIC DBRS, Center for Space Research, UT-Austin Rosharon West Columbia Angleton Lake Jackson Brazoria Brazos River Flood In Progress Richmond
  6. Richmond Rosenberg Schools on FM 723 Brazos River Flood Wave

    Passing through Richmond-Rosenberg on June 3, 2016 As a general rule, the darkest areas are flooded. Japanese JAXA ALOS PALSAR Synthetic Aperture Radar Image Collected June 3, 2016 Processed by the MAGIC DBRS UT Center for Space Research
  7. Texas Task Force One CIV Water Squad 5 Photo Location:

    30.258612 N, 93.736958 W Date: March 17, 2016, at 10:30:30 CDT
  8. DigitalGlobe WorldView-2 March 14, 2016 at 1211 CDT Processed by

    the MAGIC DBRS, Center for Space Research, UT-Austin Deweyville NRG Cottonwood
  9. What is the Charter? The International Charter aims at providing

    a unified system of space data acquisition and delivery to those affected by natural or man- made disasters through Authorized Users. Since November 2000, 16 international agencies with space borne assets have joined the charter. https://www.disasterscharter.org
  10. International Charter Members Country Space Agency Active Satellites/Sensors European Union

    ESA & EUMETSAT Sentinel -1A & B, Sentinel-2A, Prova-V France CNES SPOT, Pleiades Canada CSA RADARSAT-2 India ISRO IRS series: Oceansat,Cartosat-1,Resourcesat- 1 and others USA USGS/NOAA Landsat 7 & 8, GOES & POES Argentina CONAE SAC-C (decommissioned) Japan JAXA ALOS-2 PALSAR-2 & Kibo HDTV-EF United Kingdom UKSA & DMCii UK DMC-2 & NigeriaSat-2 China CNSA FY, SJ, ZY satellite series Germany DLR TerraSAR-X, TanDEM-X South Korea KARI KOMPSAT-2, KOMPSAT-3, KOMPSAT-5 Brazil INPE CBERS Russia ROSCOSMOS RESURS-DK1 & -P, METEOR-М1, KANOPUS-V Bolivia ABAE VRSS-1
  11. Example Charter Resources Optical High resolution: • Pleiades (French) •

    Geoton (Russian) • Kompsat 2 (Korean) Moderate resolution • DMC 2 (UK) • Miranda (Bolivian) • AWiFs (Indian) Radar • RADARSAT-2 (Canadian) • TerraSAR-X (German) • Kompsat 5 (Korean) • RISAT (Indian) • PALSAR-2 (Japanese)

    2016 – All Rights Reserved Bayou Manchac & St. James Parish South of Baton Rouge & North of Mississippi River August 21, 2016 Analyzed and mapped at the USGS Wetlands and Aquatic Research Center in Lafayette, Louisiana
  13. Pleiades © CNES 2016 - Distribution Airbus Defence and Space,

    all rights reserved Baton Rouge Area flooding August 19, 2016 CNES Pleiades
  14. International Charter Benefits • Supplements/complements US remote sensing assets •

    Multiple Synthetic Aperture Radar sensors • Wide area moderate resolution multispectral sensors • Promise of pre- and post-event images for change detection (not always feasible)