2014
DOI: 10.5721/eujrs20144739
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Coastline extraction using high resolution WorldView-2 satellite imagery

Abstract: The aim of this paper is to remark possibilities to use WorldView-2 imagery for coastline extraction. Applications are conducted on a Phlegrean area in the Campania Region (Italy): the considered range of coastline is particularly interesting because it shows two typologies of shoreline including reefs interspersed with segments of sandy beach. Two indices are used: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI).To enhance geometric resolution of the results pan-shar… Show more

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Cited by 110 publications
(77 citation statements)
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“…Secara keseluruhan wilayah penelitian terdiri dari laut, pesisir pantai dan hutan mangrove. Identifikasi pantai didasarkan pada pengelompokan semua piksel dari citra menjadi tiga kelas: laut, darat dan vegetasi (Maglione et al, 2014). Lokasi penelitian ditunjukkan pada Gambar 1.…”
Section: Lokasi Dan Waktuunclassified
“…Secara keseluruhan wilayah penelitian terdiri dari laut, pesisir pantai dan hutan mangrove. Identifikasi pantai didasarkan pada pengelompokan semua piksel dari citra menjadi tiga kelas: laut, darat dan vegetasi (Maglione et al, 2014). Lokasi penelitian ditunjukkan pada Gambar 1.…”
Section: Lokasi Dan Waktuunclassified
“…To date, various remotely sensed data have been widely used for mapping and detecting changes in coastal zones because of their relatively low cost compared with traditional approaches [13][14][15][16][17]. In this study, Landsat imagery with a 30-m spatial and 16-d temporal resolution was selected as the main data source for tracking the temporal change of estuarine islands [18].…”
Section: Introductionmentioning
confidence: 99%
“…WorldView-2 has eight spectral bands and WorldView-3 29 bands. The eight spectral bands of WorldView-2 include the "coastal" channel (range 423-453 nm) (Maglione et al, 2014). This channel was designed to penetrate shallow water bodies, and may be used for studies of coastal areas of polar regions.…”
Section: Introductionmentioning
confidence: 99%