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Visualizing lidar DEMs

October 2009, Geological Society of America Annual Meeting, Portland, Oregon. Visualizing lidar DEMs. Ralph Haugerud U.S. Geological Survey c/o Earth & Space Sciences University of Washington Seattle, WA 98195 rhaugerud@usgs.gov / haugerud@u.washington.edu. B. V. S. 2 km. O.

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Visualizing lidar DEMs

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  1. October 2009, Geological Society of America Annual Meeting, Portland, Oregon Visualizing lidar DEMs Ralph Haugerud U.S. Geological Survey c/o Earth & Space Sciences University of Washington Seattle, WA 98195 rhaugerud@usgs.gov / haugerud@u.washington.edu

  2. B V S 2 km O Skokomish River Shaded-relief image of lidar topography, illumination from NW

  3. B V S 2 km O Skokomish River Shaded-relief image of lidar topography, illumination from NE

  4. B V S 2 km O Skokomish River Lidar topography, colored by slope

  5. B V S 2 km O Skokomish River Lidar topography, darker where steeper, colored by elevation

  6. 100% value (brightness) 0 0 slope 100% Hillshade—no unique relation between slope and brightness

  7. 100% value (brightness) 0 0 slope 100% Vertical hillshade with exaggeration: value = hillshade(<zgrid>, 0, 90, shade, 6)

  8. 100% value (brightness) 0 0 slope 100% value = con(slope > 40, 0,~ 100 - int( 100*sqrt(slopedeg / 40.0))) 40 degrees

  9. B V S O what is this? ~3 ft subsidence of diked area -2 ft NAVD88 previously-noted fault scarp +20 ft NAVD88

  10. The moral of this story • Look at lots of images, not a default hillshade • Think about the images that might best illustrate the features that interest you. Then make them

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