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Detailed reference data analysis in Pemba area, Mozambique (2022-01-03)

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Activation date: 2022-01-03

Event type: Humanitarian

Activation reason:

The CEMS Risk and Recovery Standard (RRM STD) has been activated by the European Commission DG ECHO, on behalf of the World Food Programme (WFP) Mozambique, with the final objective to improve food security in the northern provinces of Cabo Delgado, Nampula and Niassa. To reach this goal, WFP will conduct an exercise to assess vulnerabilities of IDPs and their hosting communities. One of the target population is the one living in the urban area of Pemba, for which the user requires detailed maps to facilitate consultations with community leaders to identify the households to visit. Hence, the objective of the CEMS RRM STD activation is to support the WFP in the massive data collection exercise through the provision of detailed reference dataset products over the Pemba area.This will be attained using satellite imagery to generate products that will support the assessment of IDPs vulnerabilities, identifying the requested households to ease communication with community leader.The P02.1-Reference dataset product is generated through photointerpretation of VHR satellite images and provides comprehensive information on assets and population. The P13 - Ready to print maps and map books for field campaigns product includes 96 detail maps with a scale of 1:5,000 over the P02 product.

How to cite

European Commission, Joint Research Centre (2026): Detailed reference data analysis in Pemba area, Mozambique (2022-01-03). [Dataset] doi: 10.2905/JRC.QG63810 PID: http://data.europa.eu/89h/c66eb8aa-5edc-46ac-a074-800938105359

Keywords

CEMSCopernicusCopernicus Emergency Management ServiceCopernicus Emergency Management Service Risk and Recovery Mapping ActivationCopernicus EMSCopernicus ServiceEmergencyEmergency ManagementEMSN118HumanitarianMappingMOZMozambiqueRisk and Recovery Mapping

Data access

Copernicus EMS Risk and Recovery Mapping Activation [EMSN118]: Detailed reference data analysis in Pemba area, Mozambique (2022-01-03)
Esri File Geodatabase

GDB is an Esri's file-based geodatabase format, stored as folders in a file system. It shall be used for Esri file geodatabases. The file is a zip archive that contains the gdb directory.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Maps produced in scope of this Copernicus EMS Risk and Recovery Mapping activation downloadable as georeferenced PDFs, TIFFs and JPEGs together with relevant geodatabase (GDB) and complete final report as well.

Spatial coverage

Lineage information

No additional information

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-data-support (at) ec.europa.eu
Update frequency
unknown

The event occurs with unknown regularity.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Regions and cities

dataset theme covering the domains of regions and cities, where regions is defined by political geography units including sovereign states, subnational administrative areas, and multinational groupings, and cities are characterised as large human settlements
Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2022-01-03
Created date
02 Mar 2026 17:07
Modified date
20 May 2022 19:23
Landing page
https://emergency.copernicus.eu/EMSN118 
Dataset identifier
http://data.europa.eu/89h/c66eb8aa-5edc-46ac-a074-800938105359
Other identifiers
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