Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)
<p>The expected global sea level rise by the year 2100 will determine adaptation of the whole coastal system and the land retreat of the shoreline. Future scenarios coupled with the improvement of mining technologies will favour increased exploitation of sand deposits for nourishment, especial...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-04-01
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Series: | Earth System Science Data |
Online Access: | https://www.earth-syst-sci-data.net/11/515/2019/essd-11-515-2019.pdf |
Summary: | <p>The expected global sea level rise by the year 2100 will determine adaptation
of the whole coastal system and the land retreat of the shoreline. Future
scenarios coupled with the improvement of mining technologies will favour
increased exploitation of sand deposits for nourishment, especially for urban
beaches and sandy coasts with lowlands behind them. The objective of the work
is to provide useful tools to support planning in the management of sand
deposits located on the continental shelf of Western Sardinia (western
Mediterranean Sea). The work has been realised through the integration of
data and information collected during several projects. Available data
consist of morpho-bathymetric data (multibeam) associated with morphoacoustic
(backscatter) data, collected in the depth range <span class="inline-formula">−25</span> to <span class="inline-formula">−700</span> m.
Extensive coverage of high-resolution seismic profiles (Chirp 3.5 kHz) has
been acquired along the continental shelf. Also, surface sediment samples
(Van Veen grab and box corer) and vibrocorers have been collected.
These data allow mapping of the submerged sand deposits with the
determination of their thickness and volume and their sedimentological
characteristics. Furthermore, it is possible to map the seabed
geomorphological features of the continental shelf of Western Sardinia. All
the available data (<a href="https://doi.org/10.1594/PANGAEA.895430">https://doi.org/10.1594/PANGAEA.895430</a>) have been integrated and
organised in a geodatabase implemented through a GIS and the software suite
Geoinformation Enabling ToolkIT StarterKit<sup>®</sup>
(GET-IT), developed by researchers of the Italian National Research Council
for RITMARE project. GET-IT facilitates the creation of distributed nodes of
an interoperable spatial data infrastructure (SDI) and enables unskilled
researchers from various scientific domains to create their own Open
Geospatial Consortium (OGC) standard services for distributing geospatial
data, observations and metadata of sensors and data sets.</p>
<p>Data distribution through standard services follows the guidelines of the
European Directive INSPIRE (DIRECTIVE 2007/2/EC); in particular, standard
metadata describe each map level, containing identifiers such as data type,
origin, property, quality, processing processes to foster data searching and
quality assessment.</p> |
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ISSN: | 1866-3508 1866-3516 |