期刊
SENSORS
卷 15, 期 9, 页码 22956-22969出版社
MDPI
DOI: 10.3390/s150922956
关键词
Sentinel-2; simulation; hyperspectral; spectral response function; Phragmites; macrophytes; lakeshore vegetation; habitat mapping
资金
- Natural Environment Research Council (NERC)
- European Commission, Marie Curie Programme, Initial Training Networks Grant [PITN-GA-2010-26450]
- Royal Society Wolfson Research Merit Award [2011/R3]
- NERC National Centre for Earth Observation
- EUFAR [2271]
- Natural Environment Research Council [nceo020005] Funding Source: researchfish
- NERC [nceo020005] Funding Source: UKRI
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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