Mapping of Sicilian Pocket Beaches Land Use/Land Cover with Sentinel-2 Imagery: A Case Study of Messina Province
| Autor: | Francesco Gregorio, Stefania Lanza, Marco Fontana, Giovanni Randazzo, Anselme Muzirafuti, Maria Cascio |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Pocket beach
Buffer zone 010504 meteorology & atmospheric sciences 0211 other engineering and technologies Climate change 02 engineering and technology Land cover 01 natural sciences earth observation satellites land use/land cover climate change OpenStreetMap pocket beach maximum likelihood minimum distance mahalanobis distance spectral angle mapper image classification 021101 geological & geomatics engineering 0105 earth and related environmental sciences Nature and Landscape Conservation Global and Planetary Change Mahalanobis distance Ecology Imagery analysis Land use Agriculture Geography Scale (map) Cartography |
| Zdroj: | Land, Vol 10, Iss 678, p 678 (2021) Land Volume 10 Issue 7 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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