CUBA SURFACE ESTIMATION FROM SHORELINE MAPPING, GENERATED BY SENTINEL-2 IMAGE PROCESSING

Abstract. The coastal with its geographical elements are modified over time, changes that may occur in the long or short term so, shoreline represented in the cartographic documents does not always match with reality. Also, the coastline does not have a well-defined length as results from the fractal-like properties of coastlines, i.e., the fact that a coastline typically has a fractal dimension so, its representation depends to many factors like the cartographic method used, the resolution of the image and the scale of the map. On the other hand, the shoreline is general use to estimate the surface of the landmass, so is important to get a cartographic product with accuracy in a time. Taking into account these elements, this paper is focus in a surface estimation of total Cuban island and keys. To achieved, an expeditious method was used, from the application of geometric corrections to multispectral SENTINEL-2 images, followed by a band algebra using the NDWI index. After those process the automated extraction of shoreline was conducted and finally, refining the vectors by cartographic editing without compromising the accuracy of the results. As a result, two coast lines were obtained from the territory, one in the rainy season and the other in the dry season. The spatial analyses were oriented to surface determination and they were carried out over shoreline in dry season and rainy season, the results were contrasted with the official data published in 2016.