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Landslide Mapping Using LiDAR : Kenton and Campbell Counties, Kentucky. Matt Crawford 2012 Kentucky GIS Conference. Kentucky landslide locations. Kenton and Campbell Counties, KY. Cincinnati. Ohio River. The problem.

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Landslide Mapping Using LiDAR: Kenton and Campbell Counties, Kentucky

Matt Crawford

2012 Kentucky GIS Conference



Kenton and campbell counties ky
Kenton and Campbell Counties, KY

Cincinnati

Ohio River


The problem
The problem

Natural geology, topography, and decades of slope modification make Kenton and Campbell Counties susceptible to landslides.

  • Example costs:

  • 71 landslide geotechnical reports from KYTC…unknown cost, 1970-present

  • 57 landslides located from other sources

  • April-May 2011 storms cost KYTC District 6 over $4 million

  • FEMA is about to submit a letter of intent for a 2.5 million dollar stabilization project in Bellevue, Ky. Campbell Co. involving 30 homes.


Landslide types and geology
Landslide types and geology

From the Newport and Withamsville quadrangle by Gibbons (1973):

“The shale of the Kope Formation slumps readily when wet. Structures built on the Kope should be provided with adequate drainage and oversteepened slopes should be avoided.”

From the Newport and Withamsville quadrangle by Gibbons (1973):

From Potter, 1996


Kenton and Campbell Co., landslides

Creep and generations of failure




The project:

Landslide mapping using

Light Detection and Ranging

(LiDAR)

  • Purpose: develop a methodology using LiDAR data in the geologic setting of Kenton and Campbell Co. and to document landslides

  • LiDAR flown in 2007. Data provided by the NKAPC (1m)

  • Completed March 2011, grant from the USGS Landslides Hazards Program


Methodology

  • Used Applied Imagery’s Quick Terrain Modeler to create bare earth hillshade DEM’s from the LAS files

  • Add DEM’s to ArcMap for visualization, spatial analysis, and digitization

  • Systematic panning looking for

    • Hummocky surface

    • Steep scarp, flanks

    • Thick toe

    • Concavity

  • Reexamined potential landslides in QTM

  • Field checking





  • Example: potential landslide identified on LiDAR derived hillshade DEM. Azimuth and sun angle at 45o


    Three-dimensional view of the same landslide in Quick Terrain Modeler. Changing the sun angle and azimuth can make the scarp and flanks stand out. The image was rotated in 3D and the azimuth was changed to 225°.


    Other useful data sets
    Other useful data sets Terrain Modeler. Changing the sun angle and azimuth can make the scarp and flanks stand out. The image was rotated in 3D and the azimuth was changed to 225°.

    • Topographic contours

    • 1:24,000-scale geology

    • Slope

    • Leaf-off aerial photography

    • Roads

    • Bing!


    Field checking
    Field checking Terrain Modeler. Changing the sun angle and azimuth can make the scarp and flanks stand out. The image was rotated in 3D and the azimuth was changed to 225°.


    Results
    Results Terrain Modeler. Changing the sun angle and azimuth can make the scarp and flanks stand out. The image was rotated in 3D and the azimuth was changed to 225°.

    • 230 potential landslide extents digitized (polys)

    • Approximately 10% were initially attributed with high confidence, rest were questionable

    • 45 landslides (approx. 40%) of landslides were field checked

      • 20 were confirmed

      • 18 were likely or observed but could not be determined

      • 7 were not accessible


    Why is this important? Terrain Modeler. Changing the sun angle and azimuth can make the scarp and flanks stand out. The image was rotated in 3D and the azimuth was changed to 225°. Preexisting slides as indications of subsequent failure

    3 separate incidences of failure after slope was mapped with landslide from LiDAR!!!!





    Future work
    Future work 2011

    • As more LiDAR becomes available numerous landslide hazard projects can be considered.

      • Formalize and add to landslide inventory database

      • Create landslide inventory maps>>>>help reduce landslide risk!!

    KY LiDAR acquisition


    Conclusions 2011

    • Project successfully used LiDAR for identifying potential landslide extents in Kenton and Campbell Counties

    • Able to map slides in areas not accessible by roads.

    • Urbanization made visualization difficult and probably masked many other existing slides

    • Project was limited by time and ability to field check landslides

    • Mapping preexisting landslides is an indication of areas susceptible to future slope failure.

    • As Kentucky acquires more LiDAR, similar projects will be very beneficial in other landslide prone parts of the state.


    Thank you! 2011

    Matt Crawford

    [email protected]

    http://kgs.uky.edu/kgsweb/findpubsmain.asp

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