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Remote Sensing and Internet Data Sources

Remote Sensing and Internet Data Sources. Unit 3: Module 12, Lecture 3 – Remote Autonomous Vehicles/On-line data resources. Subsurface vehicles and sensors. In large water bodies, towed or autonomous vehicles can be used to record data over large areas Towed systems Remotely operated vehicles

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Remote Sensing and Internet Data Sources

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  1. Remote Sensing and Internet Data Sources Unit 3: Module 12, Lecture 3 – Remote Autonomous Vehicles/On-line data resources

  2. Subsurface vehicles and sensors • In large water bodies, towed or autonomous vehicles can be used to record data over large areas • Towed systems • Remotely operated vehicles • Autonomous vehicles • These use a combination of remote sensors (Sonar, hydroacoustics) and probes (on-board sensors)

  3. EPA-MED Duluth: Tow-Yo Provided by Jack Kelly, Mid-Continent Ecology Division, U.S. EPA, Duluth MN

  4. EPA Lake Guardian with sonar and towed sensor Provided by Jack Kelly Mid-Continent Ecology Division U.S. EPA, Duluth MN

  5. Result is semi-synoptic, spatially-referenced data to characterize: Water properties (including biology) Bathymetry and sediment character Typically sample at 4-5 knots, to ~100 km per day Provided by Jack Kelly Mid-Continent Ecology Division U.S. EPA, Duluth MN

  6. Tow-yo shoreline sampling: Tributary receiving waters Provided by Jack Kelly, Mid-Continent Ecology Division, U.S. EPA, Duluth MN

  7. Provided by Jack Kelly, Mid-Continent Ecology Division U.S. EPA, Duluth MN

  8. Remotely Operated Vehicles (ROV) • Jason II/ Medea • Woods Hole ROV • 2 body system • Medea – intermediate vehicle to decouple Jason from surface motion • 6500 m capabilities Mosaic of images shot from Jason showing the variety of sampling devices Jonathan Howland WHOI

  9. Autonomous Underwater Vehicles • Powered free ranging sensors • Capable of deep water sampling, long distances, inclement conditions

  10. REMUS – Remote Environmental Monitoring Units • Wood’s Hole OI • 52 inches long • 80 lbs • Configured to support a variety of sensors • Salt or fresh water

  11. REMUS – Remote Environmental Monitoring Units • Sensors • Acoustic Doppler Current Profiler • Sidescan Sonar • Fluorometer • Bioluminescence sensor • Plankton pump • Video camera • Windows XP interface

  12. Larger units - Univ. South Florida AUV

  13. Integrated Ocean Observing System

  14. Internet Sources of Spatial data http://nmviewogc.cr.usgs.gov/viewer.htm

  15. Land Use/Land Cover • Many different land use data sets • LUDA • AVHRR • GAP • Landsat • Two important attributes • Spatial Resolution • Classification Resolution

  16. AVHRR Land Cover • AVHRR (Advanced Very High Resolution Radiometer) • 1 km pixel resolution • Nationwide coverage • 2 images/day • Good for a “coarse picture” of the regional landscape

  17. Based on aerial photographs 1970s and 1980s 21 cover type categories 40 ac minimum map unit Based on 1:100,000 and 1:250,000 USGS quadrangles Free USGS LULC (Land Use/Land Cover)

  18. Land Use/Land Cover: Level II codes • code = "11" • Residential • code = "12" • Commercial and services • code = "13" • Industrial • code = "14" • Transportation, communications, and utilities • code = "15" • Industrial and commercial complexes • code = "16" • Mixed urban or built-up land • code = "17" • Other built-up land • code = "21" • Cropland and pasture • code = "22" • Orchards, groves, vineyards, nurseries and ornamental horticultural areas • code = "23" • Confined feeding operations • code = "24" • Other agricultural land • code = "41" • Deciduous forest land • code = "42" • Evergreen forest land • code = "43" • Mixed forest land

  19. National Land Cover Dataset (NCLD) • Nationwide coverage • Derived from early-mid 1990s Landsat Thematic Mapper imagery • 30 m resolution • 21 classes (modified Anderson Level II) • 2001 NLCD data now available http://landcover.usgs.gov/images/glensfalls_web.jpg

  20. Transportation and Infrastructure • Major roads • County roads • Township roads • City streets • Railroads • Pipelines • Airports • Source: • TIGER data

  21. Hydrography: water resources • Lakes • Wetlands • By wetland type • Emergent • Forested • Scrub/shrub, etc • Streams • Rivers • FEMA Floodplain • Well locations • Watershed boundaries Internet Map Server session for a wetland inventory of the Poplar River watershed, north shore of Lake Superior

  22. Census data • Maintained by US Census Bureau • Data available in • Blocks • Tracts • Other divisions • Summarized by • Population • Demographics • Congressional districts, others Census tracts, St. Louis Co, MN

  23. Digital Elevation Models (DEMs) • Pixel-based data describing elevations • Typically 30 m resolution • Used for • Slope calculations • Generating contours • Watershed delineations • Hydrologic modeling • Flow direction • Flow distance • Viewshed analyses • Hillshades

  24. Easy GIS – accessing on-line data Be sure to visit DuluthStreams And LakeAccess!

  25. Metadata: data about data • Important to understand where your data came from – metadata Identification_Information Citation Citation_Information Originator: NOAA Coastal Services Center Publication_Date: 19971131 Title: Hurricane Storm Surge Geospatial_Data_Presentation_Form: Map Publication_Information Publication_Place: Charleston, SC Publisher: NOAA Coastal Services Center Larger_Work_Citation Citation_Information

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