DATASET

Global long-term shoreline evolution

Collection: LISCOAST : Large Scale Integrated Sea-level and Coastal Assessment Tool 

Description

In this study we present the evolution of the global shoreline from 1984 to 2015 based on satellite observations. During this period, the eroded surface is estimated up to 28,0000 km2 which is twice the amount of accreted land. This study highlights the impact of the anthropogenic activities at the coastal zone, the footprint of coastal natural disasters and the potential vulnerability of the coastal areas due to the effect of climate change.

Contact

Email
jrc-liscoast-project (at) ec.europa.eu

Contributors

How to cite

Mentaschi, Lorenzo; Vousdoukas, Michail; Pekel, Jean-Fran├žois; Voukouvalas, Evangelos; Feyen, Luc (2018): Global long-term shoreline evolution. European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/944f6d9b-2fbf-422e-ae3e-4b3aa391ed48 PID: http://data.europa.eu/89h/944f6d9b-2fbf-422e-ae3e-4b3aa391ed48

Keywords

anthropogenic activities coastal accretion coastal erosion natural hazards

Data access

Global long-term shoreline evolution - NETCDF file
URL 
  • NETCDF format.

Spatial coverage

Type Value
GML
<gml:Envelope srsName="http://www.opengis.net/def/crs/OGC/1.3/CRS84"><gml:lowerCorner>-180 -63</gml:lowerCorner><gml:upperCorner>180 63</gml:upperCorner></gml:Envelope>
GEO
POLYGON((180 63,180 63,180 -63,180 -63,180 63))
GEO
{"type":"Polygon","crs":{"type":"name","properties":{"name":"urn:ogc:def:crs:OGC:1.3:CRS84"}},"coordinates":[[[-180,63],[180,63],[180,-63],[-180,-63],[-180,63]]]}

Temporal coverage

From date To date
1984-01-01 2015-12-31

Lineage information

This is the official version of the GlobalShorelineChange dataset. This dataset has been validated according to the methodology described in Mentaschi et al. 2018 (manuscript submitted for publication).

Additional information

Published by
European Commission, Joint Research Centre
Created date
2021-04-23
Modified date
2020-04-09
Issued date
2018-01-30
Language(s)
English
Data theme(s)
Environment, Regions and cities, Science and technology
Update frequency
unknown
Identifier
http://data.europa.eu/89h/944f6d9b-2fbf-422e-ae3e-4b3aa391ed48
Popularity