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Show and Tell 2008 GIS and Data Management Conference Fort Collins, Colorado PowerPoint Presentation
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Show and Tell 2008 GIS and Data Management Conference Fort Collins, Colorado

Show and Tell 2008 GIS and Data Management Conference Fort Collins, Colorado

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Show and Tell 2008 GIS and Data Management Conference Fort Collins, Colorado

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  1. Show and Tell2008 GIS and Data Management ConferenceFort Collins, Colorado

  2. Show and Tell Mark Adams Mark Christiano Dorothy Mortenson Margaret Beer Ann Rodman Shepard McAninch Craig Dalby

  3. Mark AdamsCape Cod National Seashore

  4. Remote-sensing based landcover classification of the Provincelands Dunes

  5. Procedure • Field Data Collection • Collect minimum of 50 GPS points for each landcover type • “Training” points • Post-processing of Data • Differentially correct these points and download • Create Input Grids • Spectral values from orthos/Quickbird™ • Derived indices (e.g., NDVI, greenness etc.) • Landform position (e.g., elevation, slope, height above groundwater table)

  6. Procedure • Extract values from all the input grids for all of the training points • Saved as a .csv file • Build a Random Forest classification in R • Using package: randomForest • Input data is the .csv (from step #4 above) 6.Run all your input grids through the RandomForest to create a predicted map (pixel-based)

  7. Mark ChristianoUniversity of Rhode Island

  8. Exploring the Use of LiDAR & Quickbird Imagery as Tools for Salt Marsh Restoration Monitoring Mark Christiano, Roland Duhaime, Charles Labash RTSC at University of Rhode Island Photo courtesy of Galvin Brothers, Inc.

  9. 1974 Aerial 2003 Quick Bird Duck Point

  10. Created by NY DEC

  11. Photo courtesy of Galvin Brothers, Inc.

  12. Stoney Creek Raster Elevation Surface

  13. Dorothy Mortenson Southwest Alaska Network

  14. Southwest Alaska Network Visitor Use Monitoring Commercial Operator Activities • Demonstrates: • Location • Number of visitors • Activities

  15. Visitor Use Monitoring Commercial Operator Activities On the Web ... Trends... Summaries With Charts... ... and Tables.

  16. Southwest Alaska Network Vegetation Monitoring Accessible areas for ground-based sampling • Used Spatial Analyst: • Path Distance Analysis • Determine the travel cost based on: • Slope • Landcover • Land ownership • Glaciers and rivers • Bear Habitats • Other barriers

  17. Southwest Alaska Network Vegetation Monitoring Accessible areas for ground-based sampling Areas Not accessible in Red Areas accessible in Blue

  18. Mapping the United States of America • Highlights: • All states and territories mapped at the same scale • Small parks are symbolized so they can be seen • Still have work on the index map.

  19. Margaret BeerWASO-I&M Program

  20. IRMA?

  21. Build it and they won’t come • State of Natural Resource information systems, 2006 • Many systems in balkanized state • Separate budgets • Separate Management Teams, Governance • Separate Technical Teams • Built with little or no user input or requirements • Separate logins, passwords, navigation • Frustrated users • Must access multiple systems and manually relate information • Poor performance and usability • Users avoid systems – data weren’t getting entered

  22. 2006 Natural Resource Program Center IT Policy • NRPC will: • integrate all applications (start with NatureBib, NPSpecies, NPS Data Store, but will eventually include other systems) • eliminate redundant data storage • streamline standard functions across applications…

  23. 2006 Natural Resource Program Center IT Policy NRPC will create a central web portal, a single sign-on system, and a common user interface for all natural resource applications.

  24. IRMA is… • Integration of Resource Management Applications • Umbrella project that is implementing the new IT policy • Service-oriented Architecture (SOA) framework: design services that can be re-used by many applications

  25. IRMA brings fundamental changes to NR data systems • User needs drive the technology: starting with: interviews, workshops, results from last year’s DM conference • Systems are designed based on user requirements and workflow • Systems are designed in order to share functions and data: build once, use many times

  26. Taxonomy Park Unit Code Vouchers Observations References Data Sets POC Tools Access Control Park Status Data Entry Data Downloads ANCS_ Reports Taxonomy Park Unit Code Vouchers Observations References Data Sets POC Tools Access Control Park Status Data Entry Data Downloads ANCS_ Reports Taxonomy Park Unit Code Vouchers Observations References Data Sets POC Tools Access Control Park Status Data Entry Data Downloads ANCS_ Reports IRMA brings fundamental changes to NR data systems before… after NPSpecies – Silo NPSpecies – SOA: deconstructed into reusable, multipurpose “services” observations taxonomy park code vouchers references data sets access control data entry data downloads reports user identity taxonomy park code references voucher observation ATBI Network RPRS Before… After Taxonomy Park Unit Code Vouchers Observations References Data Sets POC Tools Access Control Park Status Data Entry Data Downloads ANCS_ Reports Taxonomy Park Unit Code Vouchers Observations References Data Sets POC Tools Access Control Park Status Data Entry Data Downloads ANCS_ Reports

  27. IRMA Progress – 1st Year • Hired Randy Leonard- SOA architect • Improved communication methods and tools • Reorganized development team • Standardized software development process • Upgraded IT infrastructure • Redesign of NPSpecies underway • Redesign of NatureBib and NPS Data Store next in line

  28. conceptual model IRMA Goals: Easy searching and posting Consistent look and feel across applications for data entry and retrieval No more user IDs and passwords Ability to customize pages Ability to be notified when records change in a system

  29. IRMA Overview – Thursday afternoon • Service-oriented architecture: laying the foundation • A preview of how NPSpecies is being transformed from a data “silo” into a series of compact and resusable “services” • NatureBib and the NPS Data Store: what’s coming up and how we need your help Poster, plus http://nrpcsharepoint/irma

  30. Ann RodmanYellowstone National Park

  31. Greater Yellowstone Science Learning Center “One-Stop Shop” for Resource Information Ann Rodman (YELL) & Rob Daley (GRYN)

  32. Information about Resources Park Staff Park websites Park Mgmt Greater Yellowstone Network IMR & WASO Greater Yellowstone Science Learning Center website Education Formal & informal Park-based monitoring Other agencies Researchers CESU Leverage strengths and fill voids

  33. GYSLC Resource Topics 10 YELL topics 2006 40 vital signs with 60 reportable resources YELL, GRTE, BICA 30 topics 2007 YELL, GRTE, BICA 50 - 60 topics 2008 Archeology, Ethnography, Historic structures, History, Cultural landscapes, Collections Park specific, core resource topics

  34. GYSLC – Resource Intro Pages www.greateryellowstonescience.org

  35. GYSLC – Yellowstone CT page Almanac Atlas Overview essay Project descriptions References & Links Partner Scientists Data www.greateryellowstonescience.org

  36. GYSLC Products Projects Researchers References Data www.greateryellowstonescience.org

  37. Resource Almanacs www.greateryellowstonescience.org

  38. Annual Report to Superintendent Different for each park • Ecosystem drivers • climate, fire • Landscape scale indicators • Air quality, amphibians • Rare and sensitive • wolves, grizzly bears • Stressors • Exotic plants, wildlife diseases, lake trout • Resources of management concern • Elk, bison, whitebark pine www.greateryellowstonescience.org

  39. Annual Report to Superintendent www.greateryellowstonescience.org

  40. Annual Report to Superintendent www.greateryellowstonescience.org

  41. Shepard McAninch Cumberland Piedmont Network

  42. Landscape Dynamics Cumberland Piedmont Network Shepard McAninch