Joint Research Centre Data Catalogue - datasetsA RSS feed containing the selected datasets of the Joint Research Centre Data Catalogue.ODCAT2024 European Commission2022-05-20T19:23:54Z3574020CEMS-RRMCrop change detection in conflict areas, Nigeria (2020-02-14)2021-04-12T04:26:09Z2021-04-12T04:26:09Z<br/>
Activation date: 2020-02-14 <br/>
Event type: Humanitarian <br/>
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Activation reason: <br/>
EMSN063 was activated to support the World Food Program in order to provide information about cropland change and population affected by cropland loss in the north-eastern Nigerian Borno region over 5 AOIs, helping to understand the food security situation. The area under focus is has not been accessed for several years and little to no data could be collected due to intense fighting activities by Boko Haram since 2010.The aim of the activation is a crop change analysis implemented between the two reference years of <2010 and 2019. The methodology is based on the generation of NDVI-composite layers per time stamp using High Resolution imagery data (Sentinel-2 for 2019, Aster and Landsat for <2010). Crop change is determined per on populated site level, whereas a respective database was created based on open available data. Population data were link to each populated site to determine the affected population by cropland loss.Proposed solution and resultsGeneration of NDVI-composite layers per AOI per timestampCreation of a populated sites layer based on freely available dataCrop change analysis per populated siteImplementation of population data (source: Worldpop) per populated siteMaps showing the crop change per populated siteStatistical analysis wrt population affected by cropland lossSignificant cropland decrease (right) in the region Guzamala By cropland change in conflict areas affected population (2019) in Nigeria <br/>
<br/>CEMS-RRMHurricanes ETA and IOTA, Nicaragua (2021-04-27)2021-06-01T04:10:30Z2021-06-01T04:10:30Z<br/>
Activation date: 2021-04-27 <br/>
Event type: Storm <br/>
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Activation reason: <br/>
The CEMS Risk and Recovery Standard has been activated to assess the effects of the Eta and Iota hurricanes that hit Autonomous Region of the North and South Caribbean Coast, Nicaragua, in the first weeks of November 2020.Particularly, the products were requested with the final aim of calculating the effective impacted areas, exposed population, economic losses and livelihoods, change of land use and help in reconstruction and recovery actions.This RRM activation provides the STANDARD products Flood delineation (P04), with related Impact assessment on assets and population (P14), for eight areas of interest (totalling almost 800 km²), as well as Damage assessment (P08) for the area of Sandy Bay Sirpi (25 km²).Proposed solution and results A set flood delineation (P04) products based on Sentinel-1 data, acquired after either Eta or Iota cyclone (on the 03.11.2020, 19.11.2020 and 20.11.2020). P04 products are associated with an estimation of the corresponding water depth.Example of P04-Flood delineation production over AOI04 DakuraA pre-event reference dataset (P02) and a detailed damage assessment (P08) produced over AOI08, by mean of visual interpretation from VHR satellite imagery acquired on the 26.02.2020 and 04.12.2020 respectively.Zoom on P08-Detailed damage assessment for AOI08 Sandy Bay SirpiAn Impact assessment analysis on assets and population (P14) based on the available reference datasets (either Open Street Map or EMSR477), flood extents provided by P04, and WorldPop (2020) population data. As for AOI08, impact assessment is based on P08 results.Estimate of affected population for AOI08 Sandy Bay Sirpi <br/>
<br/>CEMS-RRMTropical cyclone Eloise in Mozambique (2021-02-10)2021-05-13T08:20:24Z2021-05-13T08:20:24Z<br/>
Activation date: 2021-02-10 <br/>
Event type: Storm <br/>
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Activation reason: <br/>
The CEMS Risk and Recovery Standard has been activated to support emergency operations or recovery after a major natural disaster such as flooding or tropical cyclones in Mozambique. To this scope, it has been requested to assess the effects of the Eloise Tropical cyclone that hit Mozambique starting from the second part of January 2021. Two areas of interest (AOIs) in Mozambique have been analysed. The AOIs are focused on the Pungwe River, in particular on its mouth where is present also the important coastal city of Beira. The AOIs have been hit by 25 centimetres of rain in 24 hours added to a strong wind (160 km/h) and storm surge (1.5 m on average).Proposed solution and resultsWith the aim of the flooded zone extraction on both AOIs, the flood delineation (P04) products were provided using a RADARSAT-2 image acquired on the 22nd January 2021, and from two Sentinel-1 images acquired on 25th and 26th of January 2021. The water depth range has been estimated between 0 and 3 m (1m on average). Figure 1 shows for AOI01 and AOI02 the flooding extracted by P04 products on 22.02.2021 (Figure 1 top left-top right), 25.02.2021 (Figure 1 middle left-middle right) and finally 26.02.2021 (Figure 1 bottom left-bottom right). Figure 1 Flooding provided by P04 Flood delineation caused by tropical cyclone Eloise event <br/>
<br/>CEMS-RRMPost Matthew monitoring on rural areas, South Region of Haiti (2018-05-16)2021-04-12T04:26:09Z2021-04-12T04:26:09Z<br/>
Activation date: 2018-05-16 <br/>
Event type: Storm <br/>
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Activation reason: <br/>
Support monitoring of recovery after the passage of the Category 5 Hurricane Matthew on the 4th of October 2016. Six areas were selected to analyse several environmental aspects, including agricultural activities, forest in protected areas, mangrove areas, and finally coastline modifications. The geographical focus of this work is the Western area of the Grand’Anse, Haiti, which was severely affected.The aim is to build a comprehensive database to support recovery aid organizations in recovery monitoring of the critical resources destroyed. This information is to be used by local governmental organisation and users.Proposed solution and results:Map of tree-cover before and after Hurricane Matthew and, documenting damage assessment for parklands and mangroves areas.Map agricultural activities before and after Hurricane Matthew including landscape changes within agricultural areas.Map the coastline before and after Hurricane Matthew to indicate coastal erosion due to the wave action of the storm. <br/>
<br/>CEMS-RRMPost Matthew Damage Assessment and Monitoring of Recovery Activities in the South Region of Haiti (2018-04-04)2021-04-12T04:26:09Z2021-04-12T04:26:09Z<br/>
Activation date: 2018-04-04 <br/>
Event type: Storm <br/>
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Activation reason: <br/>
The objective of this activation is to provide a general reference content to support activities of administration in reconstruction work of damage caused by Cyclone Matthew (October 2016) over two areas of interest containing the cities of Jérémie and Les Cayes, and to understand vulnerabilities during the recovery period. The focus of EMSN-050 activation was the detection of buildings and assets of all kinds affected by the cyclone, and understanding how people temporarily had to relocate their dwelling to the so called Internally Displaced People (IDP) camps, while the reconstruction works were taking place.The technical approach was to build a complete GDB containing the baseline data, and the status of assets and IDP camps in all the required stages, using a common schema in order to make them comparable. Based on the information extracted through visual interpretation of satellite imagery, spatial and temporal analysis was then performed by comparing the status of assets and IDP camps between the different stages.Results are presented in tables containing, between other indicators, damage to assets, statistics at each monitoring interval, reconstruction progress rates, grouped by administrative boundary of interest (i.e.: sub-commune).Pre-event baseline conditions (t0) were compared against post-event situation in three time steps:t1: days after the event.t2: approx. approx. 6 months after (only IDP camps).t3: approx. approx. 12 months after.The products are:Evolution state of the IDP camps.Damage assessment of assets, focusing on buildings, and monitoring of reconstruction activities of the affected assets.Evolution of IDP camps in three time stages (t1, t2, t3)IDPs camps were mapped in three time stages. Indications for precarious housing such groupings of dwellings with a disordered arrangement were searched by visual means using three sets of imagery and were collected at their corresponding time stage.Overall, very low numbers of putative IDP dwellings have been observed for both AOIs at t1. This suggests that in the few days following the passage of the storm until the satellite image acquisition, most affected people had not yet constructed new shelters. At time t2, numbers of potential IDP dwellings have risen in both sites, but remain low. Thus, the low number of potential IDP dwellings does not imply a low number of internally displaced persons.Damage assessment and monitoring of reconstruction: study of the evolution of building status in three time stages (t0, t1, t3)More than 115,000 building footprints were manually digitized by photointerpretation of pre-event ortho image and post-event satellite imagery. The status of every building was coded in three time stages, pre-event (t0), near post-event (t1) and one year after the event (t3). The damage assessment immediately after the hurricane Matthew was assessed by comparing two time stages: Status_t0 and Status_t1. Before the hurricane, 96-97% of the buildings in both AOIs appeared to be functional. Immediately after Matthew, the 93-94% of the buildings in both AOIs presented evidence of damage, visible from above, such as destroyed roofs. Only a 5-7% presented no visible damages far from presence of water on top of flat concrete roofed houses.The reconstruction status was monitored by comparison of the three status codes at the three time stages: Status_t0, Status_t1 and Status_t3. The possible combination of codes was analysed and their meaning interpreted.The aggregated figures led to the following main conclusions:There was an important reconstruction effort in the first year after Matthew, with a total of 61% of buildings recovered up to the beginning of 2018.But there is still an 8% pending of recovery activities.The buildings that are not vulnerable to cyclones in both AOIs do not even reach 6% of the total.There is a remarkable number of additional buildings in t3 with respect to pre-event conditions, representing an additional 10% of the total buildings in t3. <br/>
<br/>CEMS-RRMKachin and Shan North District, Myanmar (2014-08-07)2021-04-12T04:26:09Z2021-04-12T04:26:09Z<br/>
Activation date: 2014-08-07 <br/>
Event type: Humanitarian <br/>
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Activation reason: <br/>
Preparedness, disaster risk assessment and disaster risk reduction covering districts of: Kachin and Shan North <br/>
<br/>CEMS-RRMReconstruction monitoring of St. Martin and St. Barthélemy islands (post IRMA) (2018-04-25)2021-04-12T04:26:09Z2021-04-12T04:26:09Z<br/>
Activation date: 2018-04-25 <br/>
Event type: Storm <br/>
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Activation reason: <br/>
The purpose of the requested mapping is to generate comprehensive knowledge through performing post-disaster situation analysis concerning hurricane Irma (September 2017) over two Caribbean islands: the French part of Saint Martin and Saint Barthélemy (FR).Towards the implementation of adequate recovery activities, efficient support and informed decision making of the involved stakeholders, damage assessment and monitoring of the reconstruction activities were performed. The monitoring of the reconstructions covered ten (10) time intervals. The first monitoring exercise, performed during the Stage-1 of the activation, informed on the reconstruction status 6 months after the event (beginning of March 2018). Then, on Stage-2 the level of reconstruction was monitored throughout 2018 and continued along 2019 on Stage-3.Key users of the geospatial information and the related map series are the Direction Générale De La Sécurité Civile et de la Gestion Des Crises, and the Ministère des Outre-mer, Délégation interministérielle.The reference map shows background information of the AOIs, including physiography, transportation infrastructure, built up areas, commercial, public and private services, etc. The information was generated/updated through photo interpretation of the available orthophotos and further elaborated through using VHR satellite imagery. Reference mapA Land Use/Land Cover map was created. The legend is based upon CORINE level 4 categories within the built-up areas and level 3 categories within the remaining areas. Land Use/ Land Cover mapThe Damage Assessment map shows the damaged assets, which were assigned a damage severity rate (four categories). In order to establish the damage rate, comparative photo interpretation of optical VHR satellite data, acquired before and after the event, was applied. The evaluation of damage was based upon the European Macroseismic Scale (EMS), 1998, and the JRC damage grading nomenclatures, through accounting for specific characteristics, e.g. the roof conditions, the surrounding area status (fences, vegetation, vehicles and wrecks) and the presence of debris. Damage Assessment mapThe Reconstruction Monitoring maps are a time series of maps showing the status of reconstruction of the damaged assets. The time series started 6 months after the event (March 2018, Stage-1), continued during 2018 (Stage-2) and finalized almost two years later, on July 2019 (Stage-3).To establish the reconstruction rate of the assets, the analysis accounted for indications of interventions such as debris clearance, building demolition, construction activities, new structures, etc. The reconstruction status was assigned per asset on the basis of a comparative photo interpretation using two dates of optical VHR satellite data. Statistics on reconstruction status complete the product. Reconstruction Monitoring maps <br/>
<br/>ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01836 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01703 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.00451 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01121 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01744 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.00532 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01808 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01679 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01670 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.00653 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.01661 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.ODIN-JPNM-NINA-290-5mNNanoindentation (single cycle) test data for Gr. 91 material at 23 °C and maximum indenter force of 5.00923 mN2019-01-10T07:58:14Z2019-01-10T07:58:14ZData created at the European Commission JRC in the scope of the EERA JPNM pilot project NINA on the topic of nanoindentation for nuclear applications.CEMS-RRMDetailed reference data analysis in Pemba area, Mozambique (2022-01-03)2022-05-20T19:23:54Z2022-05-20T19:23:54Z<br/>
Activation date: 2022-01-03 <br/>
Event type: Humanitarian <br/>
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Activation reason: <br/>
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. <br/>
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