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DATASET

Flood in Northern Ireland (2016-01-11)

Collection: CEMS-RM : CEMS Rapid Mapping 

Description


Activation time (UTC): 2016-01-11 16:11:00
Event time (UTC): 2016-01-11 12:00:00
Event type: Flood

Activation reason:
Lough Erne and Lough Neagh in Northern Ireland have recently been at their highest levels since records began, flooding homes, businesses and transport links.

While water levels are beginning to fall, there are still significant challenges in managing existing floods and beginning planning for recover.

Reference products: 6
Delineation products: 8
Grading products: 0

Copernicus Emergency Management Service - Mapping is a service funded by European Commission aimed at providing actors in the management of natural and man-made disasters, in particular Civil Protection Authorities and Humanitarian Aid actors, with mapping products based on satellite imagery.

Contact

Email
jrc-ems-rapidmapping (at) ec.europa.eu

Contributors

How to cite

European Commission, Joint Research Centre (JRC) (2016): Flood in Northern Ireland (2016-01-11). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/9b550caa-3a9c-469c-8d60-0c3c446ec629

Keywords

CEMS Copernicus Copernicus Emergency Management Service Copernicus Emergency Management Service Rapid Mapping Activation Copernicus EMS Emergency Copernicus Service Emergency Management EMSR151 GBR Flood Mapping Rapid Mapping United Kingdom

Data access

Copernicus EMS Rapid Mapping Activation [EMSR151]: Flood in Northern Ireland (2016-01-11)
Use conditions
European Commission reuse notice 
Access conditions
No limitations 
URL 

  • All maps produced in scope of this Copernicus EMS Rapid Mapping activation downloadable as georeferenced PDFs, TIFFs and JPEGs together with relevant vector data (SHP, KML) as well.

Spatial coverage

Type Value
GML 
<gml:Polygon xmlns:gml="http://www.opengis.net/gml">  <gml:outerBoundaryIs>    <gml:LinearRing>      <gml:coordinates>-8.2425357977471,54.838227557007 -6.1115239982827,54.838227557007 -6.1115239982827,54.098650454005 -8.2425357977471,54.098650454005 -8.2425357977471,54.838227557007</gml:coordinates>    </gml:LinearRing>  </gml:outerBoundaryIs></gml:Polygon>
GML 
<gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2">  <gml:exterior>    <gml:LinearRing>      <gml:posList>-8.2425357977471 54.838227557007 -6.1115239982827 54.838227557007 -6.1115239982827 54.098650454005 -8.2425357977471 54.098650454005 -8.2425357977471 54.838227557007</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>
WKT 
POLYGON ((-8.2425357977471 54.838227557007, -6.1115239982827 54.838227557007, -6.1115239982827 54.098650454005, -8.2425357977471 54.098650454005, -8.2425357977471 54.838227557007))
GML 
<gml:Polygon xmlns:gml="http://www.opengis.net/gml">  <gml:outerBoundaryIs>    <gml:LinearRing>      <gml:coordinates>-8.24253579774713,54.8382275570075 -6.11152399828272,54.8382275570075 -6.11152399828272,54.0986504540051 -8.24253579774713,54.0986504540051 -8.24253579774713,54.8382275570075</gml:coordinates>    </gml:LinearRing>  </gml:outerBoundaryIs></gml:Polygon>
GML 
<gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2">  <gml:exterior>    <gml:LinearRing>      <gml:posList>-8.24253579774713 54.8382275570075 -6.11152399828272 54.8382275570075 -6.11152399828272 54.0986504540051 -8.24253579774713 54.0986504540051 -8.24253579774713 54.8382275570075</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>
WKT 
POLYGON ((-8.24253579774713 54.8382275570075, -6.11152399828272 54.8382275570075, -6.11152399828272 54.0986504540051, -8.24253579774713 54.0986504540051, -8.24253579774713 54.8382275570075))

Lineage information

No additional information

Additional information

Published by
European Commission, Joint Research Centre
Created date
2021-04-19
Modified date
2021-04-19
Issued date
2016-01-11
Landing page
https://emergency.copernicus.eu/EMSR151 
Language(s)
English
Data theme(s)
Regions and cities, Science and technology
Update frequency
unknown
Identifier
http://data.europa.eu/89h/9b550caa-3a9c-469c-8d60-0c3c446ec629
Popularity