Great Lakes PREVENTION Initiative Remote Sensing Approaches for Ecosystem MAPPING AND INVENTORY and Restoration In the context of the landscape (PLANET EARTH), how can you manage or restore any feature unless you know: Where Is It? What Is There? How Much Is There?
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.
Great Lakes Restoration Initiative 20% of the World’s available freshwater!
Habitat Space and Time REMOTE SENSING >>> NGO, Local, Tribal, State, Federal, International Datasets Physical Chemical Biological WEB Sharedgeo MTRI radar DU GL NWI UMN geospatial SMU WI NWI
Photo Interpretation Process Spring Update at 1:10,000 (1/2 acre MMU) Summer
Classification based on CASI Imagery and LiDAR data
Bird Nesting Site Identification Integrates Spectral and Visual Analysis Cormorant nesting areas are roughly delineated on photo A level slice of band 1 was performed to identify the cormorant spectral signature The cormorant spectral signature is then converted to polygons…. And the polygons to points.
Overview: This technology can deliver 2" on ground pixel size resolutions and in color infrared. Camera Collection System Spectra-View 12W-M 24 2/18/11 The Stewardship Network webcast
Head to Head Comparison 2’’ Resolution 12’’ Resolution 6’’ Resolution Image Resolution 2/18/11 The Stewardship Network webcast
Mapping Invasive Phragmites and Wetland Extent in the Coastal Great Lakes Laura L. Bourgeau-Chavez, Richard Powell, Liza Jenkins, Colin Brooks, Tyler Erickson Michigan Technological University Michigan Tech Research Institute (MTRI) Ann Arbor, MI January 19, 2010
Focus of Invasive Phragmites Mapping in the coastal Great Lakes
130,672 ha (322,891 acres) freshwater emergent wetlands
Geospatial image streaming evaluation Evaluate for multiple features: ease of data integration, outputs formats, performance, ability to scale to multi-terabyte archives Publish document, assess technologies for meeting USFWS needs to share imagery Examples of 2008 DHS Border Imagery
GLRI Research SummaryJoe Knight and teamJ. Corcoran, L. Rampi, B. Tolcser, M. Voth Remote Sensing and Geospatial Analysis Lab
Ground Radar Remote Sensing for Bird and Bad Tracking - Wind Power Impacts.
MERLIN Radar Coverage MERLIN's dual, wide-beam radar configuration provides the most complete & cost-effective surveillance
Superior coverage to pencil beam
& parabolic dish radars
The horizontal S-band provides
bird detection even in weather 3-6 nm diameter Vertical radar end view Horizontal scanning radar provides bird detection out to 2-4 nm & up to 10,000 feet 360° around the windfarm site Vertical radar side view Vertical scanning radar provides bird detection out to 1-3 nm & up to 10,000 along wind turbine rows 10,000 ft AGL 2-3 nm
“Due, in part, to their limited capacity for adaptation, wetlands are considered to be among the ecosystems most vulnerable to climate change.” Climate Change and Water IPCC June 2008
So why is Radar so important? Daily coverage in 5 years regardless of clouds We could map wetlands over all of North America in a week! Radar sees of water containing features Wetlands and vegetation structure Map water elevation change in wetlands
2010 July 26 Michigan Oil SpillOne Million Gallons – 20,000 Barrels
51 http://www.sharedgeo.org/ HABITAT ATLAS Social Networking Visualization = Decision Support – timely for both local and national Prioritization Accountability Michigan Tech Collaborative Tools EPA Ducks Unlimited Unknown SharedGeo U of M St. Mary’s U S & L USFWS
CONCLUSION: One needs ASSESSMENT Before targeted restoration in order to PREVENT future and more expensive restorations.
ACTION ITEM Contact your local, state, tribal and federal government leaders to support and maintain geospatial assessment! Why? To PREVENT or minimize cleanup (restoration) of larger future disasters = lower taxes!
Remote Sensing Technologies Overview Brian Huberty, FWS NWI Midwest Region Brian_huberty@fws.gov(612) 713-5332 Acknowledgements: Brian Brisco, CCRS Robb Macleod, DU GLARO Laura Chavez, MTRI Steve Apfelbaum, AES Dave Fuhr, Airborne Data Systems Megan Lang, USDA Kurt Kowalski, USGS Dr. William Welsch, EMU Dr. Joe Knight, U of MN Steve Kloiber, MN DNR Mike Hoppus, MN DNR Richard Powell, MTRI Chet Wilberg, CAP Jim Klassen, U of MN Roger Gauthier, GLC Dr. Marvin Bauer, U of MN Dr. Chris Wright, SDSU