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      Evaluating Sentinel-2 for Lakeshore Habitat Mapping Based on Airborne Hyperspectral Data

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          Abstract

          Monitoring of lakeshore ecosystems requires fine-scale information to account for the high biodiversity typically encountered in the land-water ecotone. Sentinel-2 is a satellite with high spatial and spectral resolution and improved revisiting frequency and is expected to have significant potential for habitat mapping and classification of complex lakeshore ecosystems. In this context, investigations of the capabilities of Sentinel-2 in regard to the spatial and spectral dimensions are needed to assess its potential and the quality of the expected output. This study presents the first simulation of the high spatial resolution ( i.e., 10 m and 20 m) bands of Sentinel-2 for lakeshore mapping, based on the satellite’s Spectral Response Function and hyperspectral airborne data collected over Lake Balaton, Hungary in August 2010. A comparison of supervised classifications of the simulated products is presented and the information loss from spectral aggregation and spatial upscaling in the context of lakeshore vegetation classification is discussed. We conclude that Sentinel-2 imagery has a strong potential for monitoring fine-scale habitats, such as reed beds.

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          Most cited references 29

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          Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas

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            Sentinels for science: Potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land

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              Die-back of Phragmites australis in European wetlands: an overview of the European Research Programme on Reed Die-back and Progression (1993–1994)

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                11 September 2015
                September 2015
                : 15
                : 9
                : 22956-22969
                Affiliations
                [1 ]Balaton Limnological Institute, Centre for Ecological Research, Hungarian Academy of Sciences, Klebelsberg Kuno u. 3., Tihany, H-8237, Hungary; E-Mails: zlinszky.andras@ 123456okologia.mta.hu (A.Z.); toth.viktor@ 123456okologia.mta.hu (V.R.T.)
                [2 ]University of Leicester, Centre for Landscape and Climate Research, Bennett Building, University Road, Leicester, LE1 7RH, UK; E-Mail: hb91@ 123456leicester.ac.uk
                [3 ]National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, Metaxa and Vas. Pavlou Str., Penteli, Athens GR-15236, Greece; E-Mail: sykioti@ 123456noa.gr
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: dimitris.stratoulias@ 123456gmail.com ; Tel.: +31-53-489-37-71; Fax: +31-53-487-44-00.
                Article
                sensors-15-22956
                10.3390/s150922956
                4610485
                26378538
                © 2015 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/4.0/).

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