Elevation Trends in Wide Beach-Ridge Systems Retrieved from Landsat Images and_the SRTM Digital Surface Model

• Published in: Journal of Coastal Research
• Main Authors: Lasse, Sander, Raniolo, Luis Ariel, Alberdi, Ernesto, Pejrup, Morten
• Format: Article in Journal/Newspaper
• Language: English
• Published: Coastal Education & Research Foundation
• Subjects: Prograding Coasts; Strand Plain; Gis; Geodata; Argentina; Patagonia; https://purl.org/becyt/ford/1.5; https://purl.org/becyt/ford/1; Greenland; Argentino
• Online Access: http://hdl.handle.net/11336/12640

Beach-ridge systems are a common feature of prograding coastlines and they have been recognized as important archives of late Quaternary sea level. In this paper, the combination of Landsat images and shuttle radar topography mission (SRTM) surface model data is shown to provide a solid base to assess gross elevational trends in wide beach-ridge systems. The tilt of a strand plain is a useful first indication to assess possible scenarios of long-term relative sea-level development at new field sites. We identified morphological landscape units for a large and complex coastal lagoon system in NE Patagonia (Argentina) on the basis of a series of Landsat satellite images. A good correlation (R2 = 0.92) was found for the comparison of high-resolution GPS data with the extracted corresponding SRTM elevations of a 3.8-km-long transect across a wide strand plain. This suggests that the surface model is able to reproduce changes in average elevation between distal and proximal beach-ridge sets at a relatively high accuracy. The SRTM data set is a source of freely available data to approach elevation trends in prograded beach-ridge systems in Quaternary coastal environments. The combination of SRTM data with Landsat images presents a useful tool and source of information for the preparation of fieldwork and detailed surveys as well as for the formulation of working hypotheses in poorly described areas. Fil: Lasse, Sander. Universidad de Copenhagen; Dinamarca. Geological Survey of Denmark and Greenland; Dinamarca Fil: Raniolo, Luis Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina Fil: Alberdi, Ernesto . Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina Fil: Pejrup, Morten . Universidad de Copenhagen; Dinamarca