An application of COSMO-Sky Med to coastal erosion studies

Palazzo, Francesco; Latini, Daniele; Baiocchi, Valerio; Frate, Fabio Del; Giannone, Francesca; Dominici, Donatella; Rémondière, S.

doi:10.5721/eujrs20124531

Cited by 31 publications

(21 citation statements)

References 10 publications

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“…20-30 m pixel), have shown good capability for detecting waterline [Lee and Jurkevich, 1990;Mason and Davenport, 1996;Ding and Li, 2011] with the prominent advantage of providing ground information regardless of cloud presence, during the day as well as during the night. Today new generation of X-band SAR sensors (TerraSAR-X and COSMO-SkyMed), with very high spatial resolution (1-3 m) and revisiting time spanning from 11 to 1 days, gives the possibility to perform a quasi near-real time monitoring of coastal processes and events, e.g., oil spills [Velotto et al, 2011], land subsidence [Ferretti et al, 2000[Ferretti et al, , 2011Strozzi et al, 2009;Tosi et al, 2012aTosi et al, , 2012b, coastal erosion [Palazzo et al, 2012], flood extent mapping [Pulvirenti et al, 2012], never been obtained in the past. The applications of these sensors for detecting morphologic changes of coastlines are a theme of particular interest because the application of conventional image processing tools usually gives suboptimum results on SAR data.…”

Section: Introductionmentioning

confidence: 99%

Shoreline detection: capability of COSMO-SkyMed and high-resolution multispectral images

Braga

Tosi

Prati

et al. 2013

European Journal of Remote Sensing

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This study aims to extract the instantaneous shoreline from remote sensing data acquired with very high resolution multispectral and SAR sensors. The capabilities of IKONOS, GeoEye and COSMO-SkyMed for shoreline detection are tested in the Venice littoral (Italy) by classifying the imagery into its land/water components. GPS measurements synchronously to the COSMO-SkyMed acquisitions are carried out along two transects at different tidal levels and used for validation of satellite derived shorelines. Finally, a collection of instantaneous coastlines at a specific tidal level is mapped for reconstructing the intertidal beach morphologic model.

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Section: Introductionmentioning

confidence: 99%

Shoreline detection: capability of COSMO-SkyMed and high-resolution multispectral images

Braga

Tosi

Prati

et al. 2013

European Journal of Remote Sensing

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“…The purpose of this research is in fact to verify how efficient and accurate the automatic algorithms can be compared to the manual vectorization that is currently used to extract the instantaneous shoreline from satellite images. The ground surveys, already tested in previous researches [14], are certainly more accurate than those obtained from satellite images, but on sandy shores they cannot acquire the entire line of the instantaneous shoreline at the same time as it is visible on a satellite image and, therefore, are not directly comparable with them. The beach/sea and sea/detached-breakwater limits vectorized by the operator on the profile have been considered as reference for all the algorithms tested and are highlighted by the dashed lines in final comparison of the various algorithms tested.…”

Section: Automatization Of Water and Vegetation Detectionmentioning

confidence: 98%

“…Remote sensing from satellite: It should be noted that with the development of remote sensing, shoreline detection is mainly achieved by image processing [14]. The availability of multispectral satellite images at very high resolution (VHR) allows, in fact, acquisition in a short time and simultaneously of long stretches of coast.…”

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confidence: 99%

Automatic Shoreline Detection from Eight-Band VHR Satellite Imagery

Alicandro

Baiocchi

Brigante

et al. 2019

JMSE

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Coastal erosion, which is naturally present in many areas of the world, can be significantly increased by factors such as the reduced transport of sediments as a result of hydraulic works carried out to minimize flooding. Erosion has a significant impact on both marine ecosystems and human activities; for this reason, several international projects have been developed to study monitoring techniques and propose operational methodologies. The increasing number of available high-resolution satellite platforms (i.e., Copernicus Sentinel) and algorithms to treat them allows the study of original approaches for the monitoring of the land in general and for the study of the coastline in particular. The present project aims to define a methodology for identifying the instantaneous shoreline, through images acquired from the WorldView 2 satellite, on eight spectral bands, with a geometric resolution of 0.5 m for the panchromatic image and 1.8 m for the multispectral one. A pixel-based classification methodology is used to identify the various types of land cover and to make combinations between the eight available bands. The experiments were carried out on a coastal area with contrasting morphologies. The eight bands in which the images are taken produce good results both in the classification process and in the combination of the bands, through the algorithms of normalized difference vegetation index (NDVI), normalized difference water index (NDWI), spectral angle mapper (SAM), and matched filtering (MF), with regard to the identification of the various soil coverings and, in particular, the separation line between dry and wet sand. In addition, the real applicability of an algorithm that extracts bathymetry in shallow water using the "coastal blue" band was tested. These data refer to the instantaneous shoreline and could be corrected in the future with morphological and tidal data of the coastal areas under study. Author Contributions: Supervision, M.A., V.B., R.B. and F.R.; Methodology, M.A., V.B., R.B. and F.R.; Investigation, M.A., V.B., R.B. and F.R.; Writing-Review and editing, V.B., R.B. and F.R. Funding: This research received no external funding. Conflicts of Interest:The authors declare no conflict of interest.

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“…Well-corrected and georeferenced VHRSIs such as IKONOS, WorldView-2 (WV-2), Quickbird, GeoEye, and Komposat are used for many purposes, i.e., map creation and updating, emergency mapping [3][4][5][6], vegetation mapping [7], coastline identification [8,9], etc. Production of high-resolution colored orthophotos can be achieved [10] by introducing pan-sharpening algorithms [11,12].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Algorithms to Orthorectify WorldView-2 Satellite Imagery

Belfiore

Parente

2016

Algorithms

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Abstract:Due to their level of spatial detail (pixel dimensions equal to or less than 1 m), very high-resolution satellite images (VHRSIs) need particular georeferencing and geometric corrections which require careful orthorectification. Although there are several dedicated algorithms, mainly commercial and free software for geographic information system (GIS) and remote sensing applications, the quality of the results may be inadequate in terms of the representation scale for which these images are intended. This paper compares the most common orthorectification algorithms in order to define the best approach for VHRSIs. Both empirical models (such as 2D polynomial functions, PFs; or 3D rational polynomial functions, RPFs) and rigorous physical and deterministic models (such as Toutin) are considered. Ground control points (GCPs) and check points (CPs)-whose positions in the image as, well as in the real world, are known-support algorithm applications. Tests were executed on a WorldView-2 (WV-2) panchromatic image of an area near the Gulf of Naples in Campania (Italy) to establish the best-performing algorithm. Combining 3D RPFs with 2D PFs produced the best results.

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An application of COSMO-Sky Med to coastal erosion studies

Cited by 31 publications

References 10 publications

Shoreline detection: capability of COSMO-SkyMed and high-resolution multispectral images

Shoreline detection: capability of COSMO-SkyMed and high-resolution multispectral images

Automatic Shoreline Detection from Eight-Band VHR Satellite Imagery

Comparison of Different Algorithms to Orthorectify WorldView-2 Satellite Imagery

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