Quantifying Tidal Mud Flat Elevations From Fixed-Platform Long-Wave Infrared Imagery

A procedure for estimating tidal mud flat topography from fixed-platform, long-wave infrared imagery is presented. Shallow water and low bearing capacity on many mud flats hinder traditional surveying methods by water craft, walking, or land vehicle. The approach utilizes identification of the intersection of water with the surface of the mud flat through a rising tide. Waterlines on mud flats are often indistinguishable to the naked eye and in visible-band imagery. Long-wave infrared imagery, relying on emitted radiance, provides a more distinct delineation between an exposed mud flat and water. The waterline is identified via an image intensity threshold and transferred to real-world coordinates using a geometrical transformation model that accounts for potential imager sway. Elevation estimates, interpolated to a uniform grid, show excellent agreement (absolute error generally less than 0.02 m) with ground truth elevations obtained using a sled-mounted global positioning survey system.

[1]  Tao Zhang,et al.  Extraction of Coastline in Aquaculture Coast from Multispectral Remote Sensing Images: Object-Based Region Growing Integrating Edge Detection , 2013, Remote. Sens..

[2]  Nathaniel S. Pearre,et al.  Quantifying Seasonal Shoreline Variability at Rehoboth Beach, Delaware, Using Automated Imaging Techniques , 2009 .

[3]  Nathaniel G. Plant,et al.  Intertidal beach profile estimation using video images , 1997 .

[4]  S. Lehner,et al.  Topography and morphodynamics in the German Bight using SAR and optical remote sensing data , 2005 .

[5]  Ian L Turner,et al.  A video-based technique for mapping intertidal beach bathymetry , 2003 .

[6]  M. Fenster,et al.  Coastal Impacts Due to Sea-Level Rise , 2008 .

[7]  R. Mieras.  A high-resolution numerical model investigation into the response of a channelized salt marsh to a storm surge event , 2014 .

[8]  J. Ryu,et al.  Waterline extraction from Landsat TM data in a tidal flat: a case study in Gomso Bay, Korea , 2002 .

[9]  Georg Heygster,et al.  Topographic Mapping of the German Tidal Flats Analyzing SAR Images With the Waterline Method , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Kyu-Sung Lee,et al.  Topographic Relief Mapping on lnter-tidal Mudflat in Kyongki Bay Area Using Infrared Bands of Multi-temporal Landsat TM Data , 2004 .

[11]  K. White,et al.  Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta , 1999 .

[12]  J. Thomson,et al.  Thermal observations of drainage from a mud flat , 2013 .

[13]  Glenn R. Guntenspergen,et al.  Influence of tidal range on the stability of coastal marshland , 2010 .

[14]  J. Takekawa,et al.  Mapping Elevations of Tidal Wetland Restoration Sites in San Francisco Bay: Comparing Accuracy of Aerial Lidar with a Singlebeam Echosounder , 2010 .

[15]  Douglas P. Hart,et al.  High-Speed PIV Analysis Using Compressed Image Correlation , 1998 .

[16]  Edward J. Anthony,et al.  Short-term (≤2 yrs) estuarine mudflat and saltmarsh sedimentation: High-resolution data from ultrasonic altimetery, rod surface-elevation table, and filter traps , 2009 .

[17]  Nathaniel G. Plant,et al.  Practical use of video imagery in nearshore oceanographic field studies , 1997 .

[18]  K. E. Anderson,et al.  Coastal Sensitivity to Sea-Level Rise: A Focus on the Mid-Atlantic Region , 2009 .