remote sensing Article
Assessing the Accuracy of Automatically Extracted Shorelines on Microtidal Beaches from Landsat 7, Landsat 8 and Sentinel-2 Imagery Josep E. Pardo-Pascual 1, * ID , Elena Sánchez-García 1 ID , Jaime Almonacid-Caballer 1 , Jesús M. Palomar-Vázquez 1 ID , Enrique Priego de los Santos 2 ID , Alfonso Fernández-Sarría 1 and Ángel Balaguer-Beser 1,3 ID 1
2 3
*
ID
Geo-Environmental Cartography and Remote Sensing Group, Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain;
[email protected] (E.S.-G.);
[email protected] (J.A.-C.);
[email protected] (J.M.P.-V.);
[email protected] (A.F.-S.);
[email protected] (Á.B.-B.) Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València., Camí de Vera s/n, 46022 Valencia, Spain;
[email protected] Department of Applied Mathematics, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain Correspondence:
[email protected]; Tel.: +34-963-877-000
Received: 30 November 2017; Accepted: 19 February 2018; Published: 22 February 2018
Abstract: This paper evaluates the accuracy of shoreline positions obtained from the infrared (IR) bands of Landsat 7, Landsat 8, and Sentinel-2 imagery on natural beaches. A workflow for sub-pixel shoreline extraction, already tested on seawalls, is used. The present work analyzes the behavior of that workflow and resultant shorelines on a micro-tidal (
