Data Grid Completeness defines
a set of core data that are essential for preparedness and emergency response.
For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to
hdx@un.org.
Legend:
Presence, freshness, and quality of dataset
Dataset fully matches criteria and is up-to-date
Dataset partially matches criteria and/or is not up-to-date
UNOSAT code FL20221019TCD This map illustrates cumulative satellite-detected water using VIIRS in Chad between 14 to 18 October 2022. Within the cloud free analysed areas of about 1,200,000 km², a total of about 24,300 km² of land appears to be affected. Based on Worldpop population data and the maximal flood water extent ~1.4 million people are potentially exposed or living close to flooded areas amongst the 16.5 million people living in the analysed zone.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019TCD This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a Sentinel-2 image acquired on 20 October 2022 at 10:20 local time. Within the map extent of about 100 km2, about 42 km2 of lands appear to be flooded and 5,408 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 160,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019TCD This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a Pleiades image acquired on 21 October 2022 at 10:35 local time. Within the analyzed area of about 500 km2, about 68 km2 of lands appear to be flooded and 13,323 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 228,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019TCD This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a WorldView-2 image acquired on 24 October 2022 at 10:38 local time. Within the analyzed area of about 300 km2, about 38 km2 of lands appear to be flooded and 14,799 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 154,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019TCD This map illustrates satellite-detected surface waters in N'Djamena and Chari Departments, Chad as observed from a Kanopus-V image acquired on 30 October 2022 at 11:26 local time. Within the analyzed area of about 570 km2, about 110 km2 of lands appear to be flooded and 19,465 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 284,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019TCD This map illustrates satellite-detected surface waters in Hadjer-Lamis & Lac Regions, Chad as observed from a Sentinel-2 acquired on 30 October 2022 at 10:37 local time. Within the cloud free analyzed area of about 17,000 km2, the surface waters appears to have increased of about 700 km2 since 31 October 2018. Based on Worldpop population data and the detected surface waters, the potentially exposed population is mainly located in Mamdi Department with ~28,000 people, Haraze-Al-Biar Department with ~9,700 people and Wayi department with ~9,300 people.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
UNOSAT code FL20221019TCD This map illustrates cumulative satellite-detected water using VIIRS in Chad between 30 October to 03 November 2022 compared with the period from 14 to 18 October 2022. Within the cloud free analysed areas of about 1,200,000 km², a total of about 18,000 km² of land appears to be affected. Water extent appears to have decreased of about 6,300 km² since the period between 14 to 18 October 2022. Based on Worldpop population data and the maximal flood water extent ~1 million people are potentially exposed or living close to flooded areas amongst the 16.5 million people living in the analysed zone.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
In 2014/2015, WFP and UNHCR, the Government's main partners in providing assistance to refugees, conducted a "socio-economic categorization" in select refugee camps in Chad. This dataset covers a total of 12,643 households in the Gozamir and Belom refugee camps.
UNOSAT code: FL20190827TCD Cette carte illustre l'étendue des eaux de surface détectées par satellite (Landsat 8, image comprenant des données du 23 au 27 Août 2019) à Fada et alentours. Dans la zone analysée d'environs 20,000 ha,quelques centaines de personnes vivent en proximité des1,500 ha d'eau de surface détectées entre le 23 et le 27 Août2019. Ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires à UNITAR-UNOSAT.
The dataset contains the list of Sahel/regional output indicators and country-specific indicators as defined in the the 9 Sahel countries SRPs 2015 process by each cluster. The data includes the annual target per indicator per country and the achievements on a month to month basis.
The dataset illustrates the list ongoing activities from the 2015 Strategic Response Plans (SRP) of the 9 Sahel countries. The data was collected from partners who reported on their monthly project achievements via The Sahel Online Reporting System (ORS).
The dataset contains a list of all the projects that were approved in the SRP 2015 via the UNOCHA Online Project System (OPS) for 9 Sahel appeal countries i.e. Burkina Faso, Mauritania, Mali, Niger, Chad, Nigeria, Gambia, Cameroon and Senegal.
The dataset contains the cluster frameworks of the 9 Sahel countries as defined during the SRP 2015 process by each cluster. The cluster framework includes a set of activities and indicators identified by cluster/sector focal points in each country and are linked to the Sahel Strategic Objectives. Partners uploading projects on OPS would see the activity indicators and select the activities they will be undertaking for their projects and define project targets.
The dataset contains the list of Sahel/regional output indicators and country-specific indicators as defined in the the 9 Sahel countries SRPs 2015 process by each cluster.
This dataset contains the daily summaries on base stations across Chad. The four indicators included are:
* TPCP: Total precipitation
* MXSD: Maximum snow depth
* TSNW: Total snow fall
* EMXP: Extreme maximum daily precipitation
Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions.
This dataset contains the latest 5 years of available data.
Overview of the total outreach from the 18 national associations in West and Central Africa. Detailed data set on the services provided at the national level will be available soon