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Preliminary Results of Shoreline Delineation using Thermal Imagery Maryellen Sault, Jason Woolard, Stephen White and J PowerPoint Presentation
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Preliminary Results of Shoreline Delineation using Thermal Imagery Maryellen Sault, Jason Woolard, Stephen White and Jon Sellars NOAA’s National Geodetic Survey, Remote Sensing Division. Objectives.

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slide1

Preliminary Results of Shoreline Delineation

using Thermal Imagery

Maryellen Sault, Jason Woolard, Stephen White and Jon Sellars

NOAA’s National Geodetic Survey, Remote Sensing Division

objectives
Objectives
  • Develop shoreline extraction procedures using a commercial off-the-shelf broadband thermal imager.
  • Compare thermal derived shoreline with GPS-derived shoreline.
  • Assess the geo-positional accuracy.
slide4

Sensor Parameters

  • TABI
    • Broadband push-broom imager
    • Collects data between 8 to 12 nanometers
    • Spectral resolution of 4,000 nanometers
    • 48 degrees Field of View (FOV)
  • DSS
    • Medium format airborne digital sensor
    • 0.15 to 1 m GSD
    • 35 mm Zeiss Lens (55.4 degrees FOV)
    • 55 mm Zeiss Lens (37 degrees FOV)
sensors
Sensors

TABI

DSS

TABI

DSS

acquisition constraints
Acquisition Constraints
  • Weather
  • Swath Width
  • Time of day
  • Tides
tide coordination
Tide Coordination

DSS

TABI

(MHW)

slide13

DSS Accuracy Assessment Results

RMSE X = 0.21 m

RMSE Y = 0.18 m

RMSE Z = 0.51 m

Total RMSE = 0.28 m

N = 38

GSD = 0.25m

slide14

TABI Accuracy Assessment Results

RMSE X = 1.01 m

RMSE Y = 0.81 m

Total RMSE = 1.67 m

N = 11

GSD = 1.0 m

slide18

Lessons Learned

  • Acquisition constraints must be taken into account
  • during mission planning
  • Obtaining reference data is critical to assessing the
  • positional accuracy of the data products
  • Determining the stage of tide during the time of
  • data acquisition is crucial when trying to extract
  • shoreline
  • Preliminary results indicate that shoreline can be
  • auto-extracted from thermal imagery