Preliminary Results of Shoreline Delineation

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Preliminary Results of Shoreline Delineation
using Thermal Imagery Maryellen
Sault, Jason Woolard, Stephen White and Jon
Sellars NOAAs National Geodetic Survey, Remote
Sensing Division
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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.

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Study Area
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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)

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Sensors
TABI
DSS
TABI
DSS
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NOAA Twin Otter
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Acquisition Constraints

• Weather
• Swath Width
• Time of day
• Tides

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Tide Coordination
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Data Acquisition Parameters
TABI
DSS
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Kinematic GPS Shoreline
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Accuracy Assessment
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Ground Control Point Identification
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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
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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
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Temperature Profile
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Preliminary Shoreline Extraction Results
GPS
MHW (generalized)
MHW
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Preliminary Shoreline Extraction Results
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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