AndreaBozzo/ceres-open-data-index huggingface dataset:
Geodata of Damage Assessment of Sinjar, Sinjar District, Nineveh Province, Iraq

This map illustrates satellite-detected damage and destruction in a portion of the town of Sinjar in Sinjar District, Nineveh Province, Iraq. Using satellite imagery acquired 18 November 2015 and 07 August 2014, UNITAR - UNOSAT identified a total of 1,293 potentially affected structures. Approximately 369 of these were destroyed, 336 severely damaged, 380 moderately damaged, and 208 possibly damaged. Note that due to less-than-ideal imagery characteristics the error margin for this analysis is likely higher than usual. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment of Western Socotra Island, Socotra Governorate, Yemen

This map illustrates satellite-detected potential damage following Cyclone Chapala in western Socotra Island, Socotra Governorate, Yemen. Using satellite imagery acquired 04 November 2015 compared with imagery from 27 October 2015, 10 and 23 September 2015, UNITAR-UNOSAT analyzed an area of approximately 2,157 square kilometers or roughly 59% of the island. A total of 81 potentially damaged structures were identified as of 04 November 2015. Many affected structures and boats were observed near the settlement of Qulansiyah. Detected damage likely reflects an underestimation due to significant cloud obstruction. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Displaced Persons Shelters in Dikwa, Nigeria

This map illustrates satellite-detected areas of displaced persons shelters in the Sangaya settlement, Borno state, Nigeria, and in the surrounding town of Dikwa. UNITAR-UNOSAT analysis of satellite imagery acquired 29 September 2016 revealed a total of 433 shelters and 54 infrastructure and support buildings within the Sangaya compound and a total of 2,259 shelters scattered in the surrounding town. A density analysis has been performed to highlight the most dense shelters areas (Sangaya settlement included), ranging from 400 to 10,500 shelters per square kilometer. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Niue_Population_Grid_2020

Population Raster Niue 2020
Data Input: Household locations from Open Street Maps - HOSM Niue Building footprint. https://data.humdata.org/dataset/hotosm_niu_buildings
Population allocated proportionally using 2011 census population counts at enumeration area level.
Year Population Growth Rate of 0.76% has been applied to update population up to 2020
The human settlement footprint with census population allocated has been converted into a 100 m resolution raster.


_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/niu_population_grid_2020)_

Tags: population
Organization: Pacific Community
Food Insecurity Mapping - East Africa (January - March 2014)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **East Africa**.

It was last updated on August 07, 2014. The classification used is [IPC V2.0 Compatible](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases), aimed to address acute food insecurity.

The two shapefiles represent the two analytic periods:

* eastafrica201304_ML1	Most likely food security outcome for January-March 2014
* eastafrica201304_ML2	Most likely food security outcome for April-June 2014

Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used:

* 66 = water
* 88 = parks, forests, reserves
* 99 = missing data (usually urban centers)

Tags: agriculture-livestock, climate-weather, complex emergency-conflict-security, food security, geodata
Organization: HDX
Food Insecurity Mapping - Southern Africa (April - June 2015)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Southern Africa**.

It was last updated on June 01, 2015. The classification used is [IPC V2.0 Compatible](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases), aimed to address acute food insecurity.

The two shapefiles represent the two analytic periods:

* southernafrica201304_ML1	Most likely food security outcome for April-June 2015
* southernafrica201304_ML2	Most likely food security outcome for July-September 2015

Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used:

* 66 = water
* 88 = parks, forests, reserves
* 99 = missing data (usually urban centers)

Tags: agriculture-livestock, climate-weather, complex emergency-conflict-security, el nino-el nina, food security
Organization: HDX
Food Insecurity Mapping - Central America and The Caribbean (April - June 2013)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Central America and The Caribbean**.

It was last updated on May 15, 2014. The classification used is [IPC V2.0 Compatible](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases), aimed to address acute food insecurity.

The two shapefiles represent the two analytic periods:

* LAC201304_ML1	Most likely food security outcome for April-June 2013
* LAC201304_ML2	Most likely food security outcome for July-September 2013

Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used:

* 66 = water
* 88 = parks, forests, reserves
* 99 = missing data (usually urban centers)

Tags: agriculture-livestock, climate-weather, complex emergency-conflict-security, food security
Organization: HDX
Food Insecurity Mapping - Southern Africa (October - December 2014)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Southern Africa**.

It was last updated on November 13, 2014. The classification used is [IPC V2.0 Compatible](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases), aimed to address acute food insecurity.

The two shapefiles represent the two analytic periods:

* southernafrica201304_ML1	Most likely food security outcome for October-December 2014
* southernafrica201304_ML2	Most likely food security outcome for January-March 2015

 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used:

* 66 = water
* 88 = parks, forests, reserves
* 99 = missing data (usually urban centers).

Tags: agriculture-livestock, climate-weather, complex emergency-conflict-security, food security
Organization: HDX
Israel - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Satellite detected landslide extent in the Nggela  Constituency, Central Province, Solomon Island as of 14 December 2023

**UNOSAT code: TC20231206SLB, GDACS ID: 1001038**  Satellite detected landslide extent in the Nggela Constituency, Central Province, Solomon Island as of 14 December 2023  
  
This map illustrates satellite-detected landslides in Nggela Constituency, Central Province, Solomon Islands, as observed from a Sentinel-2 satellite acquired on 14 December 2023 at 10:39 local time. Within the analyzed area of 400 ha about 12 ha of landslide extent is observed. UNOSAT identified 7 potentially affected structures.  
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).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Manja, Morombe & Ankazoabo Districts, Madagascar as of 03 January 2024

**UNOSAT code: TC20240102MDG, GDACS ID: 1001040**  This map illustrates cumulative satellite-detected water extent in Manja, Morombe & Ankazoabo Districts, Madagascar as of 03 January 2024 as observed from a Sentinel-1 image acquired on 03 January 2024 at 05:36 local time. Within the cloud free analysed area of about 5,500 km², a total of about 670 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the detected surface waters, about 18,000 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 the United Nations Satellite Centre (UNOSAT).  
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
China Education Facilities (OpenStreetMap Export)



This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university')

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [name:en](http://wiki.openstreetmap.org/wiki/Key:name:en)
- [amenity](http://wiki.openstreetmap.org/wiki/Key:amenity)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)
- [operator:type](http://wiki.openstreetmap.org/wiki/Key:operator:type)
- [capacity:persons](http://wiki.openstreetmap.org/wiki/Key:capacity:persons)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)
- [name:zh](http://wiki.openstreetmap.org/wiki/Key:name:zh)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: education facilities-schools, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Guadeloupe - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Damage Assessment in Cianjur district, Jawa Barat Province, Indonesia  as of 29 November 2022

**UNOSAT code EQ20221121IDN, GDACS Id: 1347183**  This map illustrates potentially damaged structures and damaged structures in Cianjur district, Jawa Barat Province, Indonesia as detected by a Pléiades image acquired on 29 November 2022 at 11:05 local time. Within the analyzed area, UNOSAT has identified 406 potentially damaged structures, 35 damaged structures.  
  
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).

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
West Java Earthquake (21 November 2022, M 5.6) - UNOSAT Live Web Map

**UNOSAT code EQ20221121IDN, GDACS Id: 1347183**  Live web map providing geospatial information about damaged caused by the earthquake that stroke Indonesia on 21 November 2022. This web map gives an updated overview over potentially damaged and damaged buildings based on very high-resolution satellite images.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment  in Jableh City, Jableh District, Latakia Province, Syria as of 9 February 2023

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372**  This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Jableh City, Jableh District, Latakia province, Syria as detected by a Pléiades very high-resolution satellite image acquired on 9 February 2023. Within this analyzed area, UNOSAT identified 30 damaged structures and 75 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).

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected water extents  in Vohipeno District, Vatovavy Fitovinany Region, Madagascar as of 23 February 2023

**UNOSAT code TC20230221MDG, GDACS Id: 1000961**  This map illustrates satellite-detected water in Vohipeno district, Vatovavy Fitovinany region, Madagascar from a TerraSAR-X imagery acquired on 23 February 2023 at 05:19 local time.  
  
Within the analyzed area of about 1,100 km2, about 40 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 231,000 people live within the analysed area while 10,000 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).  
  
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in North Tanna Council, Tanna Island - Tafea Province,  Vanuatu

**UNOSAT code TC20230227VUT, GDACS Id: 1000965**  This map illustrates damaged and potentially damaged structures and buildings in Tanna Island, Tafea Province of Vanuatu as detected using WorldView-2 satellite image acquired on 04 March 2023 after the passage of Kevin and Judy tropical cyclones. Within the analysed area UNOSAT identified 57 damaged and 88 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).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents over Lambayeque and Piura Province Provinces, Peru  as of 1 April 2023

**UNOSAT code FL20230321PER, GDACS Id: 1365556**  This map illustrates satellite-detected water using Sentinel-2 acquired on 1 April 2023, 10:36 local time over Lambayeque and Piura Provinces, Peru. Within the cloud free analyzed areas of about 13,000 km², a total of about 1,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood water extent, ~13,000 people are potentially exposed or living close to flooded areas mainly located in District of Piura with ~3,800 people, Piura District with ~3,800 people, Sechura with ~3,800 people, and Lambayeque ~3,600 people  
  
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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Belet Weyne and Bulo Burto Zones, Hiraan Region, Somalia as of 29 April 2023

**UNOSAT code FL20230327SOM, GDACS Id: 1101908**  This map illustrates satellite-detected surface waters in Belet Weyne and Bulo Burto zones, Hiraan Region, Somalia as observed from a Sentinel-2 image acquired on 29 April 2023 at 07:06 UTC. Within the  
analyzed area of about 3,900 km², about 12 km² of land appear to be flooded. Water extent appears to have increased by about 1 km² since 19 April 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, 700 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over between 19 to 23 May 2023 over Hiraan, Midle Shabelle and Lower Shabelle Region, Somalia

**UNOSAT code FL20230327SOM, GDACS Id: 1101908**  This map illustrates cumulative satellite-detected water using VIIRS along the Shabelle River in Somalia between 19 to 23  May 2023.  Within the analysed area of about 39,000 km², about 1,400 km² of land appear to be flooded.   
Based on Worldpop population data and the maximum flood water coverage, at least 120,000 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment around the Nova Kakhova Dam, Ukraine as of 06 June 2023; 08:07 UTC

**UNOSAT code FL20230606UKR**  This map illustrates satellite-detected flood waters and affected structures next to Nova Kakhova Dam in Khersonska Oblast (Ukraine) as observed from Skysat image acquired on 6 June 2023 at 08:07 UTC; and a pre-event Worldview-2 image acquired on 5 June 2023. Within the analysed area of 80 km², about 5 km² of land appear to be flooded. 346 structures and 07 harbours are damaged.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Buildings Damage  Assessment & Related Density over Pentecost  Island, Penama Province ,Vanuatu as of 29 Oct. 2023

**UNOSAT code TC20231023VUT, GDACS Id: 1001027**  This map illustrates potentially damaged, damaged and destroyed structures density in Pentecost Island, Penama Province, Vanuatu as observed from a WorldView-2 imagery acquired on 29 October 2023 at 09:39 local time. Over Penama islands, 1,704 buildings are identified as destroyed, 835 as damaged and 1,779 as potentially damaged.  
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).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Preliminary satellite-derived flood assessment -Bardere City, Baardheere District, Gedo Region, Somalia

**UNOSAT code FL20231105SOM**  Status: Increased water extent along the Jubba River  
Further action(s): continue monitoring  
Summary of findings:  
- Increase of water extent along the Jubba River observed as of 12 November 2023;  
- Affected structures and agricultural areas. We also observe inundated roads in Bardere City, in the Gedo Region as of 12 November 2023;

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live webmap- Floods in Dominican Republic, November 2023

**UNOSAT code: FL20231120DOM, GDACS ID: 1102342**  This application provides geospatial information about the ongoing floods in Dominican Republic  
Important note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)