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/>
<br/>
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/>
<br/>
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-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/>
<br/>
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/>
<br/>
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/>
<br/>
Activation reason: <br/>
Preparedness, disaster risk assessment and disaster risk reduction covering districts of: Kachin and Shan North <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-RRMCrop change detection in conflict-affected areas of Nigeria, agricultural season 2021 (2021-12-01)2022-05-20T19:23:54Z2022-05-20T19:23:54Z<br/>
Activation date: 2021-12-01 <br/>
Event type: Humanitarian <br/>
<br/>
Activation reason: <br/>
The scope of the activation is to support the WFP officers with geospatial analysis regarding the agriculture and food security situation and nutrition analysis in 57 AOIs, including the update for 5 AOIs that were already analysed under activation EMSN-063 and EMSN-083, spread between nine Nigerian States: 36 AOIs located at the north-western region (NW) and 21 AOIs at the north-eastern (NE) of Nigeria, near Lake Chad. Due to the inaccessibility of the region caused by on-going armed conflicts, the impact of the conflict needs to be estimated for changes in cropland (loss/gain) and affected population. The analysis was performed in between the reference years of 2010 & 2021, 2017 & 2021, and 2020 & 2021. NDVI composite showing a significant cropland decrease between 2020 & 2021Proposed solution and resultsGeneration of NDVI-composite layers per NW and NE regions for each timestamp of analysisUpdate and verification of the populated sites layer based on freely available imagery and dataCrop change analysis per populated site based on the NDVI-composite layer between 2010 & 2021, 2017 & 2021, and 2020 & 2021Interpolation of the population data per populated sites applying a Thiessen polygon analysisAnalysis of population affected by cropland loss/gainPopulation distribution per populated sitePopulated sites affected by cropland change by timeframe and location <br/>
<br/>CEMS-RRMGround deformation in La Palma Island, Spain (2021-09-15)2022-01-10T09:41:14Z2022-01-10T09:41:14Z<br/>
Activation date: 2021-09-15 <br/>
Event type: Volcanic activity <br/>
<br/>
Activation reason: <br/>
Since 11 September 2021, a swarm of seismic activity had been ongoing in the southern part of the Spanish Canary Island of La Palma (Cumbre Vieja region). The volcano was under strict surveillance after more than 22,000 tremors were reported in one week.The increasing frequency, magnitude, and shallowness of the events were an indication of a pending volcanic eruption; which occurred on 19 September, leading to evacuation of people in the vicinity. <br/>
<br/>CEMS-RRMETA and IOTA hurricanes effects in Guatemala (2021-08-19)2021-10-11T18:36:38Z2021-10-11T18:36:38Z<br/>
Activation date: 2021-08-19 <br/>
Event type: Storm <br/>
<br/>
Activation reason: <br/>
The CEMS Risk and Recovery Mapping (Standard) has been activated to assess the effects of the Eta and Iota hurricanes that hit Central America starting from the beginning of November 2020.Eta affected 4 million people across Central America, with widespread flooding, destructive winds, and devastating landslides. Weeks after, starting from 16th November 2020, Iota struck the region with even more intense weather that worsened the conditions. Heavy rainfall associated with Iota was reported also in Guatemala in a 6-hour period on 18th November.This RRM activation was requested with the aim of calculating the effective impacted areas, exposed population, economic losses and livelihoods, change of land use and help in reconstruction and recovery actions.Particularly, this RRM activation provides the STANDARD products Flood delineation (P04), with related Impact assessment on assets and population (P14), for an area of interest surrounding Sesajal (243km²).ResultsThe results of the activation provide a set of flood delineation (P04) products based on Sentinel-1 data, acquired after either Eta or Iota cyclone on the 10.11.2020, 16.11.2020, 22.11.2020 and 28.11.2020 (geodata available at Downloads). P04 products are associated with an estimation of the corresponding water depth (raster files available at Download).Example of P04-Flood delineation production over AOI01 Sesajal (situation as of 28.11.2020)The Impact assessment analysis on assets and population (P14) is based on the available reference datasets (i.e. OSM), the flood extent provided by P04, and WorldPop (2020) population data. The impact was assessed on the cumulated flooded areas basis. Summary tables are available at Downloads. <br/>
<br/>