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Preliminary Results of Shoreline Delineation using Thermal Imagery

Explore the preliminary findings on shoreline extraction using thermal imagery, comparing it with GPS-derived data for accuracy assessment. The study area, sensor parameters, acquisition constraints, and accuracy assessment results are discussed. Key lessons learned are highlighted.

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Preliminary Results of Shoreline Delineation using Thermal Imagery

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  1. 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

  2. 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.

  3. Study Area

  4. 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)

  5. Sensors TABI DSS TABI DSS

  6. NOAA Twin Otter

  7. Acquisition Constraints • Weather • Swath Width • Time of day • Tides

  8. Tide Coordination DSS TABI (MHW)

  9. Data Acquisition Parameters TABI DSS

  10. Kinematic GPS Shoreline

  11. Accuracy Assessment

  12. Ground Control Point Identification

  13. 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

  14. 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

  15. Temperature Profile

  16. Preliminary Shoreline Extraction Results GPS MHW (generalized) MHW

  17. Preliminary Shoreline Extraction Results

  18. 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

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