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Great Lakes Restoration Initiative<br />Remote Sensing Approaches for Ecosystem Assessment and Restoration<br />February 1...
TOP 5 REASONS <br />TO ATTEND THE  2011 ASPRS MILWAUKEE CONFERENCE<br />5.  AGS Map Library<br />4.  Discovery World<br />...
<ul><li>Resource Inventory Background
1980-82 B.S. U of MN–Natural Resource Inv.
1982-84 MN DNR Forest Inventory
Air Photo Interpretation/Forest Inventory
1984-86 USGS EROS
Landsat, AVHRR, etc
1986-89 M.S. U of MN – Remote Sensing/GIS
1989-91 USFS Remote Sensing App. Center
NASA ER-2 Flights
1991-1993 Aerial Image Technology
Air Photo/Glasses
1993-2002 USDA NRCS
GIS Madison, WI
2002-2010 U.S. Fish & Wildlife Service
Remote Sensing Lead/Wetland Mapping</li></li></ul><li>Great Lakes PREVENTION Initiative<br />Remote Sensing Approaches for...
Let’s Play<br />WHERE IS IT?<br />
SeaWIFS April 24, 1999<br />
Radarsat2 February 2009<br />
The Mission of the U.S. Fish & Wildlife Service:working with others to conserve, protect and enhance fish, wildlife, and p...
Great Lakes Restoration Initiative<br />20% of the World’s available freshwater!<br />
Habitat<br />Space and Time<br />REMOTE SENSING >>><br />NGO, Local, Tribal, State, Federal, International Datasets<br />P...
Photo Interpretation Process<br />Spring<br />Update at 1:10,000 (1/2 acre MMU)<br />Summer<br />
Wisconsin Wetland InventoryDigital Conversion<br />Scanning<br />Orthorectification<br />
Classification based on <br />CASI Imagery and LiDAR data<br />
Bird Nesting Site Identification Integrates<br />Spectral and Visual Analysis<br />Cormorant nesting areas are roughly del...
Overview:<br />This technology can deliver 2" on ground pixel size resolutions and in color infrared.<br />Camera Collecti...
Head to Head Comparison<br />2’’ Resolution<br />12’’ Resolution<br />6’’ Resolution<br />Image Resolution<br />2/18/11<br...
SPOT 2010 Image Mosaic<br />
Bathymetric LIDAR<br />
SONAR Mapping _ National Park Service<br />
Mapping Invasive Phragmites and Wetland Extent in the Coastal Great Lakes<br />Laura L. Bourgeau-Chavez, Richard Powell,<b...
Focus of Invasive Phragmites Mapping in the coastal Great Lakes<br /><ul><li>130,672 ha (322,891 acres)  freshwater emerge...
within 10km coastline
Coastal region emergent wetlands most vulnerable to Phragmites invasion
water level changes
Typha-dominated
wet meadow</li></li></ul><li><ul><li>775 unique field site visits.
459 validation, 316 training
Phragmites observed at 29% of sites. (228 of the 775).
 14% Validation sites
15% training sites
Only NWI "Palustrine Emergent" polygons used to generate random points for validation sites of these, only 53% were docume...
from radar …<br />… to Phragmites<br />Image: MTRI<br />
NWI-blue=water, cyan=emergent, green=forested wetland, <br />Dark green=shrubby wetland, purple=floating aquatic.<br />Gre...
CBP Coastal Ortho Imagery<br />
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Great Lakes Restoration Initiative Remote Sensing Applications

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Great Lakes Restoration Initiative Remote Sensing Applications

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  • Digital image analysis for mapping the nests integrates Spectral and Visual analysis
  • Phragmites Map: We are collaborating with spatial analyst lab (Michigan Tech Research Institute) using new methods in radar detection of Phragmites. This effort includes, and requires, ground-truthing to ensure accuracy so that resource managers can use the map with confidence.
  • Transcript of "Great Lakes Restoration Initiative Remote Sensing Applications"

    1. 1. Great Lakes Restoration Initiative<br />Remote Sensing Approaches for Ecosystem Assessment and Restoration<br />February 18, 2011<br />WLIA Madison, WI<br />Brian Huberty<br />FWS Remote Sensing Lead<br />brian_huberty@fws.gov<br />
    2. 2.
    3. 3. TOP 5 REASONS <br />TO ATTEND THE 2011 ASPRS MILWAUKEE CONFERENCE<br />5. AGS Map Library<br />4. Discovery World<br />3. Harley-Davidson Motorcycles<br />2. << Lake Michigan<br />1. BEER!<br />http://www.asprs.org<br />
    4. 4. <ul><li>Resource Inventory Background
    5. 5. 1980-82 B.S. U of MN–Natural Resource Inv.
    6. 6. 1982-84 MN DNR Forest Inventory
    7. 7. Air Photo Interpretation/Forest Inventory
    8. 8. 1984-86 USGS EROS
    9. 9. Landsat, AVHRR, etc
    10. 10. 1986-89 M.S. U of MN – Remote Sensing/GIS
    11. 11. 1989-91 USFS Remote Sensing App. Center
    12. 12. NASA ER-2 Flights
    13. 13. 1991-1993 Aerial Image Technology
    14. 14. Air Photo/Glasses
    15. 15. 1993-2002 USDA NRCS
    16. 16. GIS Madison, WI
    17. 17. 2002-2010 U.S. Fish & Wildlife Service
    18. 18. Remote Sensing Lead/Wetland Mapping</li></li></ul><li>Great Lakes PREVENTION Initiative<br />Remote Sensing Approaches for Ecosystem MAPPING AND INVENTORY and Restoration<br />In the context of the landscape (PLANET EARTH), how can you manage or restore any feature unless you know:<br /> Where Is It? <br />What Is There? <br />How Much Is There?<br />
    19. 19. Let’s Play<br />WHERE IS IT?<br />
    20. 20.
    21. 21.
    22. 22.
    23. 23.
    24. 24.
    25. 25.
    26. 26.
    27. 27. SeaWIFS April 24, 1999<br />
    28. 28. Radarsat2 February 2009<br />
    29. 29.
    30. 30. The Mission of the U.S. Fish & Wildlife Service:working with others to conserve, protect and enhance fish, wildlife, and plants and their habitats for the continuing benefit of the American people. <br />
    31. 31. Great Lakes Restoration Initiative<br />20% of the World’s available freshwater!<br />
    32. 32. Habitat<br />Space and Time<br />REMOTE SENSING >>><br />NGO, Local, Tribal, State, Federal, International Datasets<br />Physical<br />Chemical<br />Biological<br />WEB<br />Sharedgeo<br />MTRI<br />radar<br />DU<br />GL NWI<br />UMN<br />geospatial<br />SMU<br />WI NWI<br />
    33. 33. Photo Interpretation Process<br />Spring<br />Update at 1:10,000 (1/2 acre MMU)<br />Summer<br />
    34. 34. Wisconsin Wetland InventoryDigital Conversion<br />Scanning<br />Orthorectification<br />
    35. 35. Classification based on <br />CASI Imagery and LiDAR data<br />
    36. 36. Bird Nesting Site Identification Integrates<br />Spectral and Visual Analysis<br />Cormorant nesting areas are roughly delineated on photo<br />A level slice of band 1 was performed to identify the cormorant spectral signature<br />The cormorant spectral signature is then converted to polygons….<br />And the polygons to points.<br />
    37. 37. Overview:<br />This technology can deliver 2" on ground pixel size resolutions and in color infrared.<br />Camera Collection System<br />Spectra-View 12W-M <br />24<br />2/18/11<br />The Stewardship Network webcast<br />
    38. 38. Head to Head Comparison<br />2’’ Resolution<br />12’’ Resolution<br />6’’ Resolution<br />Image Resolution<br />2/18/11<br />The Stewardship Network webcast<br />
    39. 39. SPOT 2010 Image Mosaic<br />
    40. 40. Bathymetric LIDAR<br />
    41. 41. SONAR Mapping _ National Park Service<br />
    42. 42. Mapping Invasive Phragmites and Wetland Extent in the Coastal Great Lakes<br />Laura L. Bourgeau-Chavez, Richard Powell,<br />Liza Jenkins, Colin Brooks, Tyler Erickson<br />Michigan Technological University<br />Michigan Tech Research Institute (MTRI)<br />Ann Arbor, MI<br />January 19, 2010<br />
    43. 43. Focus of Invasive Phragmites Mapping in the coastal Great Lakes<br /><ul><li>130,672 ha (322,891 acres) freshwater emergent wetlands
    44. 44. within 10km coastline
    45. 45. Coastal region emergent wetlands most vulnerable to Phragmites invasion
    46. 46. water level changes
    47. 47. Typha-dominated
    48. 48. wet meadow</li></li></ul><li><ul><li>775 unique field site visits.
    49. 49. 459 validation, 316 training
    50. 50. Phragmites observed at 29% of sites. (228 of the 775).
    51. 51.  14% Validation sites
    52. 52. 15% training sites
    53. 53. Only NWI "Palustrine Emergent" polygons used to generate random points for validation sites of these, only 53% were documented as emergent in the field observations</li></ul>Lake Huron Mapping<br />
    54. 54. from radar …<br />… to Phragmites<br />Image: MTRI<br />
    55. 55. NWI-blue=water, cyan=emergent, green=forested wetland, <br />Dark green=shrubby wetland, purple=floating aquatic.<br />Great Lakes Forested Wetland Inundation Mapping<br />Multi-temporal JERS L-band Composite<br />NWI with SAR-derived Inundation Overlaid<br />N<br />NASDA 1992-4<br />Extent of Inundation<br />
    56. 56. CBP Coastal Ortho Imagery<br />
    57. 57. Geospatial image streaming evaluation<br />Evaluate for multiple features: ease of data integration, outputs formats, performance, ability to scale to multi-terabyte archives<br />Publish document, assess technologies for meeting USFWS needs to share imagery<br />Examples of 2008 DHS Border Imagery<br />
    58. 58. GLRI Research SummaryJoe Knight and teamJ. Corcoran, L. Rampi, B. Tolcser, M. Voth<br />Remote Sensing and Geospatial Analysis Lab<br />
    59. 59. LiDAR Topography<br />
    60. 60. Radar: Processing<br />Freeman-Durden<br />
    61. 61. Decision Trees, cont<br />
    62. 62. Ground Radar Remote Sensing for Bird and Bad Tracking - Wind Power Impacts.<br />
    63. 63. MERLIN Radar Coverage<br />MERLIN's dual, wide-beam radar configuration provides the most complete & cost-effective surveillance<br /><ul><li> Superior coverage to pencil beam</li></ul> & parabolic dish radars<br /><ul><li> The horizontal S-band provides</li></ul> bird detection even in weather <br />3-6 nm diameter<br />Vertical radar end view <br />Horizontal scanning radar provides bird detection out to 2-4 nm & up to 10,000 feet 360° around the windfarm site<br />Vertical radar side view <br />Vertical scanning radar provides bird detection out to 1-3 nm & up to 10,000 along wind turbine rows<br />10,000 ft AGL<br />2-3 nm<br />
    64. 64. “Due, in part, to their limited capacity for adaptation, wetlands are considered to be among the ecosystems most vulnerable to climate change.”<br />Climate Change and Water<br />IPCC June 2008<br />
    65. 65. So why is Radar so important?<br />Daily coverage in 5 years regardless of clouds<br />We could map wetlands over all of North America in a week!<br />Radar sees of water containing features <br />Wetlands and vegetation structure<br />Map water elevation change in wetlands<br />
    66. 66.
    67. 67. Water Elevation Change<br />Via InSAR<br />
    68. 68. Oil Spills<br />
    69. 69. ENVISAT 5/2/2010<br />
    70. 70. REAL-TIME ORTHO DELIVERY<br />
    71. 71. Optical Multi-spectral Tunalble Imagery<br />
    72. 72. 2010 July 26 Michigan Oil SpillOne Million Gallons – 20,000 Barrels<br />
    73. 73. 51<br />http://www.sharedgeo.org/<br />HABITAT ATLAS<br />Social Networking<br />Visualization = Decision Support – timely for both local and national<br />Prioritization<br />Accountability<br />Michigan Tech<br />Collaborative Tools<br />EPA<br />Ducks Unlimited<br />Unknown<br />SharedGeo<br />U of M<br />St. Mary’s U<br />S & L<br />USFWS<br />
    74. 74. CONCLUSION:<br />One needs ASSESSMENT Before targeted restoration in order to PREVENT future and more expensive restorations. <br />
    75. 75. GOOGLE OMB Place-based<br />
    76. 76. ACTION ITEM<br />Contact your local, state, tribal and federal government leaders to support and maintain geospatial assessment!<br />Why? To PREVENT or minimize cleanup (restoration) of larger future disasters = lower taxes!<br />
    77. 77. Questions?<br />
    78. 78. Remote Sensing Technologies Overview<br />Brian Huberty, FWS NWI Midwest Region<br />Brian_huberty@fws.gov(612) 713-5332<br />Acknowledgements:<br />Brian Brisco, CCRS<br />Robb Macleod, DU GLARO<br />Laura Chavez, MTRI<br />Steve Apfelbaum, AES<br />Dave Fuhr, Airborne Data Systems<br />Megan Lang, USDA <br />Kurt Kowalski, USGS<br />Dr. William Welsch, EMU<br />Dr. Joe Knight, U of MN<br />Steve Kloiber, MN DNR<br />Mike Hoppus, MN DNR<br />Richard Powell, MTRI<br />Chet Wilberg, CAP<br />Jim Klassen, U of MN<br />Roger Gauthier, GLC<br />Dr. Marvin Bauer, U of MN<br />Dr. Chris Wright, SDSU<br />
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