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Mapping of Sicilian Pocket Beaches Land Use/Land Cover with Sentinel-2 Imagery: A Case Study of Messina Province

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Listed:
  • Giovanni Randazzo

    (Interreg Italia-Malta-Project: Pocket Beach Management & Remote Surveillance System (BESS), University of Messina, Via F. Stagno d’Alcontres, 31-98166 Messina, Italy
    GeoloGIS s.r.l. Spin Off of University of Messina, 98166 Messina, Italy
    Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università degli Studi di Messina, Via F. Stagno d’Alcontres, 31-98166 Messina, Italy)

  • Maria Cascio

    (Interreg Italia-Malta-Project: Pocket Beach Management & Remote Surveillance System (BESS), University of Messina, Via F. Stagno d’Alcontres, 31-98166 Messina, Italy)

  • Marco Fontana

    (Interreg Italia-Malta-Project: Pocket Beach Management & Remote Surveillance System (BESS), University of Messina, Via F. Stagno d’Alcontres, 31-98166 Messina, Italy)

  • Francesco Gregorio

    (Interreg Italia-Malta-Project: Pocket Beach Management & Remote Surveillance System (BESS), University of Messina, Via F. Stagno d’Alcontres, 31-98166 Messina, Italy)

  • Stefania Lanza

    (Interreg Italia-Malta-Project: Pocket Beach Management & Remote Surveillance System (BESS), University of Messina, Via F. Stagno d’Alcontres, 31-98166 Messina, Italy
    GeoloGIS s.r.l. Spin Off of University of Messina, 98166 Messina, Italy)

  • Anselme Muzirafuti

    (Interreg Italia-Malta-Project: Pocket Beach Management & Remote Surveillance System (BESS), University of Messina, Via F. Stagno d’Alcontres, 31-98166 Messina, Italy)

Abstract

Pocket beaches (PBs) are among the most attractive tourist sites and economic development contributors in coastal areas; however, they are negatively impacted by the combined effects of climate change and anthropogenic activities. Generally, research on PBs is conducted from the beach towards offshore. Studies on the land use/land cover (LULC) of PBs are limited and currently lacking. Such studies deserve more investigation due to the importance of LULC in PBs’ functioning. In this study, supervised classification methods were investigated for LULC mapping of the PBs located in the province of Messina. Sentinel-2B satellite images were analyzed using maximum likelihood (MaL), minimum distance (MiD), mahalanobis distance (MaD) and spectral angle mapper (SAM) classification methods. The study was conducted mainly in order to determine which classification method would be adequate for small scale Sentinel-2 imagery analysis and provide accurate results for the LULC mapping of PBs. In addition, an occurrence-based filter algorithm in conjunction with OpenStreetMap data and Google Earth imagery was used to extract linear features within 500 m of the inland buffer zone of the PBs. The results demonstrate that information on the biophysical parameters, namely surface cover fractions, of the coastal area can be obtained by conducting LULC mapping on Sentinel-2 images.

Suggested Citation

  • Giovanni Randazzo & Maria Cascio & Marco Fontana & Francesco Gregorio & Stefania Lanza & Anselme Muzirafuti, 2021. "Mapping of Sicilian Pocket Beaches Land Use/Land Cover with Sentinel-2 Imagery: A Case Study of Messina Province," Land, MDPI, vol. 10(7), pages 1-20, June.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:7:p:678-:d:583434
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    References listed on IDEAS

    as
    1. Giovanni Randazzo & Stefania Lanza, 2020. "Regional Plan against Coastal Erosion: A Conceptual Model for Sicily," Land, MDPI, vol. 9(9), pages 1-14, September.
    2. Alexandru-Ionuţ Petrişor & Walid Hamma & Huu Duy Nguyen & Giovanni Randazzo & Anselme Muzirafuti & Mari-Isabella Stan & Van Truong Tran & Roxana Aştefănoaiei & Quang-Thanh Bui & Dragoş-Florian Vintilă, 2020. "Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa," Land, MDPI, vol. 9(8), pages 1-43, August.
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    Cited by:

    1. Yinghui Zhao & Ru An & Naixue Xiong & Dongyang Ou & Congfeng Jiang, 2021. "Spatio-Temporal Land-Use/Land-Cover Change Dynamics in Coastal Plains in Hangzhou Bay Area, China from 2009 to 2020 Using Google Earth Engine," Land, MDPI, vol. 10(11), pages 1-31, October.

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