JOURNAL ARTICLE

Coastline extraction using high resolution WorldView-2 satellite imagery

Pasquale MaglioneClaudio ParenteAndrea Vallario

Year: 2014 Journal:   European Journal of Remote Sensing Vol: 47 (1)Pages: 685-699   Publisher: Taylor & Francis

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-sharpening is applied so as to obtain maps with the same pixel dimensions of the panchromatic data. To solve the problem of thresholds determination that typically affects the classification, Maximum Likelihood method based on training sites is adopted to distinguish bare soil and sea water. Best results are given by NDWI and, comparing the resultant coastline with that obtained with visual interpretation of images, shifts of less than 1 m outcome from pan-sharpened data.

Keywords:
Panchromatic film Normalized Difference Vegetation Index Remote sensing Extraction (chemistry) Satellite imagery Vegetation (pathology) Shore Geology Satellite Pixel Cartography Physical geography Geography Artificial intelligence Computer science Oceanography Multispectral image Climate change

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25
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0.95
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Citation History

Topics

Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
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