DocumentCode
2681618
Title
The use of the SHOALS waveforms to mapping habitat within the seamless benthoscape
Author
Collin, Antoine ; Long, Bernard ; Archambault, Phillippe
Author_Institution
Dept. of Geol., Univ. of Quebec, Quebec City, QC
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
The Scanning Hydrographic Operational Airborne LiDAR Survey (SHOALS) consists of an ubiquitous topographic and bathymetric LiDAR system which provides high resolution measurements of emerged and immersed elevation. Besides, the return signals, i.e., waveforms, contain signatures of the benthic return for subtidal area and of the salt marsh cover for intertidal zone. This paper highlights the seamless classification of the coast from the upper marsh to the near-shore. The subtidal seafloor is characterized in applying a supervised classifier to 12 SHOALS-derived benthic variables, supporting by underwater image classification (78.6 %). The intertidal marsh is classified in respect to the combination of a synthetic Vegetation indice (based on Red and InfraRed) and the elevation (95.2 %). The merge of both classifications points out 16 classes with an overall accuracy of 86.9 %.
Keywords
bathymetry; image classification; oceanographic regions; optical radar; remote sensing by radar; seafloor phenomena; Canada; Gaspesia peninsula; Gulf of St Lawrence; SHOALS; Scanning Hydrographic Operational Airborne LiDAR Survey; bathymetric LiDAR system; benthic measurements; bottom return signals; intertidal zone; salt marsh classification; salt marsh cover; seafloor habitat classification; seamless benthic habitat classification; subtidal seafloor; synthetic Vegetation indice; topographic LiDAR system; underwater image classification; Laser radar; Optical pulses; Pulse measurements; Sea measurements; Sea surface; Surface emitting lasers; Surface topography; Time measurement; Vegetation mapping; Wavelength measurement; multivariate analysis; salt marsh classification; seafloor habitat classification; topographic and bathymetric LiDAR; waveform;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779202
Filename
4779202
Link To Document