Title

Social Anxiety And Social Cognition: The Influence Of Sex

Keywords

Image classification; Intertidal flood mapping; Landsat; Multisensor; Radarsat

Abstract

This work proposes a method for detecting inundation between semi-diurnal low and high water conditions in the northern Gulf of Mexico using high-resolution satellite imagery. Radarsat 1, Landsat imagery and aerial photography from the Apalachicola region in Florida were used to demonstrate and validate the algorithm. A change detection approach was implemented through the analysis of red, green and blue (RGB) false colour composites image to emphasise differences in high and low tide inundation patterns. To alleviate the effect of inherent speckle in the SAR images, we also applied ancillary optical data. The flood-prone area for the site was delineated a priori through the determination of lower and higher water contour lines with Landsat images combined with a high-resolution digital elevation model. This masking technique improved the performance of the proposed algorithm with respect to detection techniques using the entire Radarsat scene. The resulting inundation maps agreed well with historical aerial photography as the probability of detection reached 83%. The combination of SAR data and optical images, when coupled with a high-resolution digital elevation model, was shown to be useful for inundation mapping and have a great potential for evaluating wetting/drying algorithms of inland and coastal hydrodynamic models. © 2011 John Wiley & Sons, Ltd.

Publication Date

5-30-2012

Publication Title

Psychiatry Research

Volume

197

Issue

11

Number of Pages

242-245

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.psychres.2012.02.014

Socpus ID

84865102465 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84865102465

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