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Recent examples of practical use of NMCAs
geospatial data in Copernicus EMS RUSH
…..to turn data into knowledge
All maps produced under the framework of the EC GIO EMS Mapping in Rush mode (JRC Contract n. 257219, total value 7.5 M). The content displayed does not represent the EC official position, but e-GEOS opinion only.
Recent Copernicus EMS RUSH Activations
ACT CODE TITLE EVENT DATE TYPE COUNTRYEMSR090 Landslides in Georgia 41776 Other GeorgiaEMSR089 Floods in Norway 28/05/2014 Flood NorwayEMSR088 Floods in Croatia 17/05/2014 Flood Croatia, Bosnia and Herz.EMSR087 Floods in Bosnia & Herzegovina 13/05/2014 Flood Bosnia and Herz., SerbiaEMSR086 Floods in Serbia 15/05/2014 Flood SerbiaEMSR085 LuModExercise - Flood in Mertert 07/05/2014 Flood LuxembourgEMSR084 LuModExercise - Industrial accident 07/05/2014 Industrial acc... LuxembourgEMSR083 Floods in Marche, Italy 41762 Flood ItalyEMSR082 Floods in South-West Romania 41762 Flood RomaniaEMSR081 Wildfires in the Netherlands 20/04/2014 Forest fire, w... NetherlandsEMSR078 Floods in Romania 20/04/2014 Flood RomaniaEMSR077 Forest damages in Ireland 12/02/2014 Wind storm IrelandEMSR076 Ebola epidemic in Guinea 01/03/2014 Other GuineaEMSR074 Landslides in Luxembourg 14/03/2014 Other LuxembourgEMSR073 Floods in Croatia 20/02/2014 Flood CroatiaEMSR072 Floods in central Portugal 12/02/2014 Flood PortugalEMSR071 Conflict in Bangui, Central African Republic 18/02/2014 Other Central African RepublicEMSR070 Floods in Slovenia 10/02/2014 Flood SloveniaEMSR069 Floods in Southern England 10/02/2014 Flood United KingdomEMSR068 Floods in Bretagne 07/02/2014 Flood FranceEMSR067 Floods in Emilia Romagna and Liguria, Italy 18/01/2014 Flood ItalyEMSR066 Flood in Portugal 06/01/2014 Flood PortugalEMSR065 Floods in Bretagne, France 02/01/2014 Flood France
LegendNo reference data from EU NMCAs usedNMCAs reference data used (access details already available)NMCAs reference data used, access provided in less than 12 hoursNMCAs reference data used, access provided in more than 12 hoursNo access to NMCAs reference data granted
Text Access granted to orthoimages AND vector data
Access to NMCAs geospatial data
Implemented mechanisms experienced so far are:– OGC Webservices WMS(T), TMS for orthoimages
Croatia, Slovenia, Romania, Italy, Czech Republic, The Netherlands, Germany, Sweden, Spain, Poland
– e-Commerce website (orthoimages and vector data)France, Luxembourg
– Open data HTTP download (vector data)UK (OS Open Data), Spain (PNOA)
– Emergency line (orthoimages and vector data)UK – Mapping for Emergencies 24/7 telephone service
– Ad hoc physical file transfer (orthoimages and vector data)Ireland, Portugal
EMSR068 – Floods in Bretagne
Conclusions:– The access to
raster and vector data through the e-commerce website has been tested and it is OK
– The registration of Copernicus EMS Service Provider is still pending
Use of NMCAs data: – the user explicitly did not requested Reference Maps, however NMCS data are crucial
also for post event maps as they provide the cartographic framework
EMSR069 – Floods in Southern England
Use of NMCAs data:– 10/02/2014: Copernicus EMS OdO
contacts OS Emergency line quoting Copernicus EMS, the call is picked by an operator that suggests to write an e-mail to the Customer Service
– 13/02/2014: reply from OS CS, informing that the request was passed to the Mapping for Emergencies team for consideration.
Conclusions:– The use of OS official data was limited to
the OS Open Data– Significant effort was required to digitiza
all building footprints– A procedure has been set up between
Copernicus EMS and OS to request geospatial data for emergencies (to be tested)
EMSR077 – Forest damages in Ireland
Use of NMCAs data:– 28/03/2014: request for reference data
thorugh the INSPIRE Geoportal– 31/03/2014: OSi proposes that the
access the several geospatial data required can be temporarily granted through Dropbox cloud (ongiong update of infrastrucure
– 01-10/04/2014: requested reference data are provided
Conclusions:– Since there was no extreme time
pressure on this activation, the delayed access to reference data was OK.
– For the future, a more stereamlined access shall be set up out of activation time
ETL - A fundamental, but time consuming process
• ETL is necessary to transform heterogeneous data models into a common one.
• Starting from scratch, this process is time consuming (more or less, depending on the complexity of input data):– Attributes mapping;– Managing geometries (e.g. lines to polygons).
• It can be managed during an emergency activation, but it introduces heavy delays and possible errors:– Wrong understanding of the input data attributes semantics;
The process needs to be as much as possible automated:– Optimum: EU data provided using a common data model;– Sub-optimum: prior access to multi country EU data to build proper ETL
for data ingestion.
Conclusions
From an operational perspective:– Access to NMCAs data is critical to avoid duplicated efforts in re-
producing data that already exist
– There is a visible increase of attention and availability of NMCAs to this topic also during real emergency activations
– Different access mechanisms have pro and cons, experienced in real cases.
– Prior ETL definition is crucial for a smooth integration of NMCAs data into Copernicus Emergency workflow.
Conclusions
Human interaction required
Integrate into Copernicus EMS data model
Availability Timeliness of delivery
OGC Webservices
None
Easy, if source data model is known and ETL are defined in advance
Very high Very high (depending on bandwidth)
e-Commerce
Registration process might be long, then none
Easy, if source data model is known and ETL are defined in advance
Very highVery high (depending on bandwidth and data partitioning)
HTTP download
None
Easy, if source data model is known and ETL are defined in advance
Very highVery high (depending on bandwidth and data partitioning)
Emergency line
Very high, always
Easy, if source data model is known and ETL are defined in advance
Very high (depending on SLA)
Very high (depending on SLA and data partitioning)
Ad hoc transfer
Quite high, since the request for data is passed by human exchanges
Easy, if source data model is known and ETL are defined in advance
Low, as it is linked to personal availability
Low, as ad hoc arrangements need to be taken
