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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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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 • 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.
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 TABI DSS TABI DSS
Acquisition Constraints • Weather • Swath Width • Time of day • Tides
Tide Coordination DSS TABI (MHW)
Data Acquisition Parameters TABI DSS
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
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
Preliminary Shoreline Extraction Results GPS MHW (generalized) MHW
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