DocumentCode
16265
Title
Quantifying Tidal Mud Flat Elevations From Fixed-Platform Long-Wave Infrared Imagery
Author
Puleo, Jack A. ; Pieterse, Aline ; McKenna, Thomas E.
Author_Institution
Center for Appl. Coastal Res., Univ. of Delaware, Newark, DE, USA
Volume
8
Issue
3
fYear
2015
fDate
Mar-15
Firstpage
1199
Lastpage
1207
Abstract
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.
Keywords
Global Positioning System; geophysical image processing; infrared imaging; sediments; fixed-platform long-wave infrared imagery; geometrical transformation model; image intensity threshold; imager sway; land vehicle; mud flat surface; shallow water; sled-mounted global positioning survey system; tidal mud flat elevation quantification; tidal mud flat topography; visible-band imagery; water craft; water intersection identification; waterline; Global Positioning System; Image edge detection; Poles and towers; Remote sensing; Surface topography; Tides; Image processing; remote sensing; surveying; thermal infrared; topography;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2014.2385596
Filename
7008498
Link To Document