Cartography and remote sensing for coastal erosion analysis

Giannini, Massimiliano Basile; Maglione, Pasquale; Parente, Claudio; Santamaria, R.

doi:10.2495/cp110061

Cited by 18 publications

(9 citation statements)

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“…Georeferencing may be applied to any kind of object or structure that can be related to a geographical location such as roads, buildings, etc. This term is commonly used in the geographic information systems GIS field to describe the process of associating a physical map or raster image of a map with spatial locations; GIS environment is used to compare ancient and recent maps as well as remote sensed images (Giannini and al., 2011). Information about a location can be imprecise and contextdependent (Albuquerque and al., 2012).…”

Section: Introductionmentioning

confidence: 99%

Registration of the Roads with the Use of a Satellite Image and a Road Map: Application to Road Map Update

Nougrara¹

2017

AMA_B

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Among different satellite images analysis tasks, roads registration plays an extremely important role as it is often the essential step for various applications such as improving the approach of the road network extraction, update map and producing a new map. In this paper, we present an iterative algorithm for linear registration of roads with the use of satellite images of Algeria and a road map. The proposed approach incorporates a priori information given by the road network of the road map extracted from the corresponding satellite image. The proposed algorithm was tested on the satellite images; the experimental results show that this algorithm achieved good results.

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Section: Introductionmentioning

confidence: 99%

Registration of the Roads with the Use of a Satellite Image and a Road Map: Application to Road Map Update

Nougrara¹

2017

AMA_B

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“…To repair the damage and to mitigate the future impacts, phenomena models have to be prepared using all the available data, such as ancient and recent maps, air photos and satellite images, to reconstruct the evolution of the shoreline (Basile Giannini et al, 2011). The repetitive acquisition and synoptic capabilities of remote sensing systems will provide timely spatial data for Geographical Information Systems (GIS), enabling detection and monitoring of coastline movement (White and Asmar, 1999).…”

Section: Introductionmentioning

confidence: 99%

High Resolution Satellite Images to Reconstruct Recent Evolution of Domitian Coastline

Maglione¹,

Parente²,

Vallario³

2015

American Journal of Applied Sciences

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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

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“…The successful launch of the first Very High Resolution (VHR) satellite, such as IKONOS in September 1999 or Quickbird in October 2001, marked the beginning of a wholly new age in remote sensing; in fact, VHR satellite are able to capture images of the earth's surface with a Ground Sample Distance (GSD) of 1 m and even less (Aguilar et al, 2013). IKONOS satellite images (pan: 1×1 m, multispectral 4×4 m) are used for many applications such as to establish accurately variation of shorelines in presence of coastal erosion (Basile et al, 2011). Recently cell size of 50 centimeters have been achieved for panchromatic data, such as in the cases of GeoEye-1 2013 and WorldView-2 DigitalGlobe, 2013.…”

Section: Introductionmentioning

confidence: 99%

Using Worldview-2 Satellite Imagery to Support Geoscience Studies on Phlegraean Area

Maglione

Parente

Vallario

2013

American Journal of Geoscience

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WorldView-2 satellite imagery includes half-meter panchromatic resolution and 2 m multispectral resolution. Because of the reduced dimensions of pixels and articulated spectral acquisition these images supply detailed information that can be used for geoscience applications, above all to investigate areas, identify land cover, bound vegetated zones, outline transformations (change detection). The aim of this study is to remark possibilities to use WorldView-2 imagery for analysis of Phlegrean area (Italy), facilitating monitoring actions and increasing level of knowledge of territorial and environmental features. This area is emblematic for many aspects such as its geological history, the presence of volcanic activities, the Roman ruins and the natural forest. The study is centered on methodological aspects about the use of WorldView-2 imagery for increasing dataset and level of information. For consequence attention is firstly focalized on possibilities to obtain geometrical corrected data with adequate accuracy (comparable to pixel dimensions): using Rational Polynomial Functions for ortho-rectification, references are already georeferred air-photos with cell-size equal to that of WorldView-2 higher resolution images (panchromatic band: 0.50×0.50 m), while Digital Terrain Model (DTM) is built with cartographic dataset in scale 1: 5,000. Then other two methodological aspects on WorlView-2 imagery use are considered: Normalized Difference Vegetation Index (NDVI) application and 3d photo-realistic model construction. In the first case thresholds determination to distinguish vegetated areas is conducted using Maximum Likelihood method based on training sites to achieve high level of thematic accuracy; in the second RGB composition is obtained and overlapped to DTM.

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Cartography and remote sensing for coastal erosion analysis

Cited by 18 publications

References 0 publications

Registration of the Roads with the Use of a Satellite Image and a Road Map: Application to Road Map Update

Registration of the Roads with the Use of a Satellite Image and a Road Map: Application to Road Map Update

High Resolution Satellite Images to Reconstruct Recent Evolution of Domitian Coastline

Using Worldview-2 Satellite Imagery to Support Geoscience Studies on Phlegraean Area

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