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: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Les Anglais Commune, South department of Haiti as detected by Pleiades image acquired on 23 August 2021. Within the analyzed area, UNOSAT has identified 3 damaged structures, 41 potentially damaged structures, 4 road obstacles and 8 landslide locations. 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: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Baraderes commune, Nippes department of Haiti as detected by using a satellite image acquired after the earthquake.
UNOSAT analysis used a Worldview-3 image acquired on 16 August 2021, and a Resurs-P image acquired on 18 August 2021, as a post-event images. Within the analyzed area, UNOSAT identified 7 potentially damaged structures.
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: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Nippes department of Haiti as detected by using a satellite image acquired after the earthquake.
UNOSAT analysis used a Worldview-2 image acquired on 14 & 16 August 2021, a Worldview-1 image acquired on 15 August 2021, a Worldview-3 image acquired on 16 August 2021, and Pleiades images acquired on 15 & 16 August 2021, as a post-event images. Within the analyzed area, UNOSAT identified 73 damaged structures and 125 potentially damaged structures.
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: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Port-A-Piment and Coteaux Communes, South department of Haiti as detected by Pleiades image acquired on 23 August 2021. Within the analyzed area, UNOSAT has identified 41 damaged structures, 72 potentially damaged structures, 5 road obstacles, and 47 landslide locations.
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: EQ20210814HTI This report describes preliminary building damage analysis covering the departments of South, Grande Anse, and Nippes of Haiti, for a total area of approximately 550 Km2. A building damage analysis and a rapid assessment of transportation network conditions was conducted by comparing a series of satellite imageries acquired from the International Charter Space and Major Disasters, before and after the earthquake.
The preliminary analysis extent within South, Grande Anse, and Nippes departments identify a total of 1,842 buildings/structures with visible damages and approximately 130 locations with visible road obstacles and/or access constraints.
UNOSAT code: EQ20210814HTI This map illustrates potentially damaged structures/buildings in Chardonnieres commune, South department of Haiti as detected by Pleiades image acquired on 23 August 2021. Within the analyzed area, UNOSAT has identified 27 damaged structures, 107 potentially damaged structures, 9 landslide locations.
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).
This dataset illustrates the tropical cyclone IRMA-17 path with low, medium and strong wind impact zones observed and predicted at 7 September 2017. The tropical cyclone path and wind speed zones were derived from Joint Research Centre data (Warning 33 issued the 07 th September 2017 at 09:00 UTC). This is a preliminary analysis and has not yet been validated in the field.
This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
This map illustrates the satellite-detected water and/or saturated wet soil extent in Solon Communal Section, St. Louis du Sud Commune in Sud Department located in the southwestern part of Haiti. The UNITAR-UNOSAT analysis used a WorldView-2 satellite image acquired on the 28 April 2017 and could observe areas with standing waters and saturated wet soil mainly affecting agricultural fields. The UNITAR-UNOSAT analysis identified 118 ha of those areas, which cover 8.50% of this map's extent of 1385 ha of land. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
This map illustrates the satellite-detected water extent in Les Cayes and Cavaillon communes in Sud Department (Haiti) located in the southwestern part of Haiti. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 26 April 2017 and a Radarsat-2 image acquired on the 17 May 2016 and could observe areas with standing waters mainly affecting agricultural fields. The UNITAR-UNOSAT analysis identified 718 ha of flooded areas, which cover ~4% of this map's extent of ~20300 ha of land. The increase of waters within the analyzed zone is about 460%. ~155 ha of surface waters were observed the 17 May 2016 and reached ~873 ha the 26 April 2017. About 9km of roads, mainly local roads are potentially affected. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
This map illustrates the satellite-detected water extent in Cavaillon commune in Sud Department (Haiti) located in the southwestern part of Haiti. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 26 April 2017 and a Radarsat-2 image acquired on the 17 May 2016 and could observe areas with standing waters mainly affecting agricultural fields. The UNITAR-UNOSAT analysis identified 566 ha of flooded areas, which cover 7% of this map's extent of ~8500 ha of land. The increase of waters within the analyzed zone is about 550%. ~100 ha of surface waters were observed the 17 May 2016 and reached ~666 ha the 26 April 2017. About 6km of roads, mainly local roads are potentially affected. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
The data was collected in the most affected areas by Internews staff and partners organizations to look at the aftermath of Hurricane Matthew and the perceptions that beneficiaries had of the response overall.
This report describes preliminary building damage analysis carried out by UNITAR-UNOSAT covering Area 1 (Jeremie and Roseaux Commune), Area 2 (Abricot, Dame-Marie, Anse d'Hainaults and Les Irois Communes), Area 3 (Corail, Pestel, Beaumont and Roseaux Communes), and Area 4 (Tiburon Commune) for a total area of approximately 1,200 Km2.
Building damage analysis, including a rapid assessment of transportation network conditions and locations of spontaneous people gathering sites, was conducted by comparing the post-disaster satellite images (Pleiades acquired on 7/10/2016 for AOI1, Pleiades acquired on 12/10/2016 for AOI2, Pleiades acquired on 09/11/2016 for AOI3 and Worldview-2 acquired on 9/10/2016 & 17/10/2016 for AOI4) with available pre-disaster images (WorldView-1 on 08/12/2014, 01/05/2015, 09/05/2015 and 16/06/2015; Worldview-2 on 17/07/2016, 28/11/2014 and 14/06/2015 and Worldview-3 on 17/10/2015).
UNOSAT's preliminary analysis shows a total of 40,696 buildings/structures with visible damages and approximately 508 locations with visible road obstacles and/or access constraints. In addition, 1,497 temporary people gathering sites have been identified within the analysed areas (Area 1, Area 2, Area 3 and Area 4).
Estimated population movement in Haiti as of 22 November 2016. The estimated distribution of people for whom their home Commune/Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 22 November had moved to another Commune/Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and in the week up to 22 November 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
Estimated population movement in Haiti as of 8 November 2016. The estimated distribution of people for whom their home Commune/Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 8 November had moved to another Commune/Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and in the week up to 8 November 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
Summary of estimated population movement in Haiti as of 24 October 2016. The estimated distribution of people for whom their home Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 24 October had moved to another Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and on 24 October 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
This map illustrates potentially damaged satellite-detected areas and related damage density in the southwestern part of Haiti in Sud Department, Haiti. The UNITAR-UNOSAT analysis used WorldView-2 satellite imagery acquired on the 9 and 17 October 2016. The UNITAR-UNOSAT analysis, identified 3,678 potentially damaged structures within this map extent. Additionally, 87 road obstacles and 131 population gathering sites within this area were identified in the analysis. Please note that some areas were cloud covered and could not be analysed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
This map illustrates satellite-detected potentially damaged buildings in Tiburon town, Sud department, Haiti. The UNITAR-UNOSAT analysis used a WorldView-2 satellite image acquired on the 17 July 2016 as a pre-image and a Worldview- 2 satellite image acquired on the 17 October 2016 as a post-image. The UNITAR-UNOSAT analysis identified 648 potentially damaged structures within the map extent of which 611 were identified inside the town of Tiburon. The depiction and use of town boundaries acquired from Wikimapia, are not warranted to be error- free nor do they imply official endorsement or acceptance by the United Nations. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.