High Resolution Satellite Images to Reconstruct Recent Evolution of Domitian Coastline

Abstract

In the last decades, combinations of natural and human factors\ud have resulted in extensive morphological changes to our coastlines and in\ud many cases have amplified erosion. In order to limit these changes and their\ud impact on coastal zone, it is important to plan specific actions; for this\ud purpose detailed cognizance of coastal zone is necessary. Different and\ud heterogeneous data such as historical and recent maps, remotely sensed\ud images and topographic survey result very useful to reconstruct temporal\ud shoreline changes. In this study the attention is focalized on Domitian coastal\ud zone (Italy), which is one of the most emblematic examples of coastal erosion\ud in Europe. Study of the shoreline evolution in this area between 1876 and\ud 2005 was used as the starting point of the present paper that investigates over\ud a span of seven years (2005 to 2012), by using remotely sensed data. The aim\ud is to adapt and integrate geomatics techniques to transform very high\ud resolution satellite images in powerful tools to analyse coastline changes. So,\ud in order to identify eroded and added areas, IKONOS-2 (2005), GeoEye-1\ud (2011) and WorldView-2 (2012) imageries are compared. These data-sets\ud were re-georeferred to improve the positional accuracy. More over\ud Normalized Difference Water Index (NDWI) was applied to pan-sharpened\ud multispectral images to facilitate coastline vectorising at the same\ud geometric resolution of panchromatic data. In addition, variance\ud propagation was considered to establish the accuracy of the reconstruction\ud of coastal evolution. Added and eroded areas were defined and related to\ud the impact of the defence structures that were built in this zone in 2011

Using Optical Satellite and Aerial Imagery for Automatic Coastline Mapping

“…and MIR (middle infrared) band (Wang et al, 2018). The specific application to the single spectra of the indexes described may vary depending on the images used (Maglione et al, 2015); for the Sentinel images used in this experiment it is reported in more detail below under the specific paragraph 2.3. MNDWI index produces three results: (i) water will have greater positive values than in the NDWI as it absorbs more MIR light than NIR light; (ii) built-up land will have negative values as mentioned above; and (iii) soil and vegetation will still have negative values as soil reflects MIR light more than NIR light and the vegetation reflects MIR light still more than green light (Jakovljević et al, 2019).…”

Shoreline Extraction Based on an Active Connection Matrix (ACM) Image Enhancement Strategy

“…The rocky parts are less sensitive to instantaneous dynamic change than the sandy ones. The index I was also considered to evaluate the average shift between two temporal consecutive shorelines [11]. They compared shorelines during 2005 and 2011 and they evidenced that the effects of the human intervention, like the installation of breakwaters, limit erosion phenomena near shore zone.…”

“…Several survey methodologies are used for the detection of shorelines: from traditional topographical and GNSS (Global Navigation Satellite System) surveys to remote sensing techniques (aerial and unmanned aerial vehicle (UAV) photogrammetry, video systems and satellite optical and SAR images [8,9]), as widely discussed in another recent work [10]. In the last few years, the use of optical and SAR satellite images for automatic and semi-automatic shoreline extraction has complemented the traditional approach based on surveying methods and air-photo processing [11]. Several approaches have been proposed to outline the shoreline using remote sensing, such as edge detection, segmentation and classification approaches [6].…”

Combination of Aerial, Satellite, and UAV Photogrammetry for Mapping the Diachronic Coastline Evolution: The Case of Lefkada Island

“…As mentioned in the previous paragraph, different types of remote sensing data have been used in coastal environment applications. High resolution satellite data and air photos were used to monitor the coastline's changes or to measure volume changes in coastal areas [18][19][20][21], sea surface temperatures [22,23], sea ice coverage [24,25], and coastal change processes [26,27]. A review paper summarizing the remote processing methods performed in shoreline delineation has been presented [28].…”