AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite detected water extents in Vatovavy Fitovinany region, Madagascar  as of 8 February 2022

**UNOSAT code: TC20220201MDG**  This map illustrates satellite-detected surface waters in Vatovavy Fitovinany region, Madagascar as of 8 February 2022 at 05:20 local time. The flood analysis were carried out by using an automated analysis with Artificial Intelligence based methods.

Within the analyzed area of about 3,800 km2, 210 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is  57,200 people mainly located in district of Vohipeno with ~ 30,000 people, and Manakara Atsimo with ~ 27,000 people,

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-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)
Geodata of Affected Mining Areas in Galangan & Katingan, Central Kalimantan, Indonesia

This map illustrates affected mining areas in the Galangan site and Katingan catchment area in Central Kalimantan Province, Indonesia. It is derived from Landsat-7 and Landsat-8 multispectral imagery acquired on 26 May 2002 and 24 September 2014 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 26 May 2002 and 24 September 2014 within the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2016

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2016

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
South Sudan Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2016

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

South Sudan Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2016

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Geodata of Gawilan IDP Settlement, Al - Hamdaniya, Ninawa Province, Iraq

This map illustrates satellite-detected shelters and other buildings at the Gawilan IDP Camp in Ninawa Province, Iraq. This camp is 7.2 kilometres northwest of Aski Kalak town and as of 28 June 2016, a total of 1,609 shelters were detected as well as 1,581 infrastructure and support buildings. Areas of shelters under construction are also visible in the image as of 28 June 2016. This is a preliminary analysis & 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)
Global exposed economic stock

The Global Exposure Database for GAR: A Global exposure database was developed for GAR15 by UNEP-GRID with close collaboration and inputs from WAPMERR (World Agency of Planetary Monitoring and Earthquake Risk Reduction), EU Joint Research Center (JRC), and Kokusai Kogyo. This database includes estimation on the economic value of the exposed assets, as well as their physical characteristics in urban and rural agglomerations. This information is key to assess the potential damages from different hazards to each of the exposed elements. The global exposure database is developed at 1km spatial resolution at coastal areas and at 5km spatial resolution everywhere else on the globe. It includes economic value, number of residents, and construction type of residential, commercial and industrial buildings, as well as hospitals and schools (De Bono et al., 2015).

Tags: economics, geodata
Organization: United Nations Office for Disaster Risk Reduction (UNDRR)
Gambia - Health

Diarrhea in the Gambia in March 2012 for Children under 5

These two Excel files show the diarrhea cases in two regions (Lower River region and Western region) of the Gambia for children under 5 of age. Data were not clear for the other regions. Recorded data are at region and district level.

Tags: health
Organization: OCHA West and Central Africa (ROWCA)
Satellite detected water extents over Sofala, Tete and Zambezia Provinces, Mozambique as of 26 March 2023

**UNOSAT code TC20230221MOZ, GDACS Id: 1000961**  This map illustrates satellite-detected water using Sentinel-2 acquired on 26 March 2023, 09:55 local time over the intersection between Shire river and Zambezi rivers in Sofala, Tete and Zambezia Provinces of Mozambique. Within the cloud-free analyzed areas of about 20,000 km², a total of about 1,800 km² of land appear to be affected by flood waters. Water extent appears to have decreased of about 600 km2 since 21 March 2023.  
  
Based on Worldpop population data and flood water extent, ~120,000 people are potentially exposed or living close to flooded areas mainly located in Mutarara district, Tete province with ~46,000 people,  Mopeia district, Zambezia province with ~22,000 people, and Caia district, Sofala province with ~20,00 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: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Kigali City, Southern, Northern, Western, and Eastern Provinces, Rwanda  as of 3 May 2023

**UNOSAT code FL20230504RWA, GDACS Id: 1101977**  This map illustrates satellite-detected surface waters in Kigali City, Southern, Northern, Western, and Eastern Provinces, Rwanda as observed from a Sentinel-1 image acquired on 3 May 2023 at 18:20 local time. Within the analyzed area of about 6,000 km2, about 20 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in Southern Province Zambezia province with ~7,000 people, and Kigali City with ~5,600 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).  
  
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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected cumulative water over Beledweyne City, Hiraan Region of Somalia between 12 and 25 May 2023

**UNOSAT code FL20230327SOM, GDACS Id: 1101908**  This map illustrates the cumulative satellite-detected water affected sectors of Beledweyne City in Hiiran Region, Somalia as detected from the analysis of a satellite Jilin-1 images acquired on 12 May 2023 and Pleiades acquired on 25 May 2023. Beletweyne is heavily affected by floods and about 67% of the town and its vicinity is largely inundated; the sectors called Kutimbo Neighborhood and Lamagalay Regional Military Base appear to be the most affected by floodwaters.  
  
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 Waters over Zaporizhzhia Power Plant, Zaporizka Oblast in Ukraine as of 09 June 2023

**UNOSAT code FL20230606UKR**  This map illustrates satellite-detected surface waters using Sentinel-1 images acquired on the 09th of June 2023 at 15:36 UTC. Within the analysed area of 260 km², along the Dnieper River, surface waters appear to have receded by about 12km². The water level of the cooling pond seems to be stable as of 09 June 2023.  
  
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)
Zones incendiées le 25 juillet 2023 dans la Wilaya de Bejaia, Algérie

**UNOSAT code FR20230724DZA, GDACS Id: 1015944**  Cette carte illustre les zones incendiées telles qu'observées à partir d'une image Sentinel-2 acquise le 25 juillet 2023 à 18:56 heure locale dans la Wilaya de Bejaia, Algérie.  
Sur les 540 km² de la zone observée, environ 180 km² de végétation semblent avoir brûlé dans la Wilaya de Bejaia.  
En se basant sur les données démographiques Worldpop, dans les communes de Semaoune, Beni Djellil et Timzrit respectivement environ 7,200, 4,800 et 4,600 personnes sont potentiellement impactées par les feux de forêt.  
Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

Tags: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood impact assessment in Al Tamimi Town, Derna Governorate, East Province, Libya

**UNOSAT code FL20230912LBY, GDACS Id: 1102204**  This map illustrates satellite-detected flood extent in the Al Tamimi Town, East Province (Libya) as observed from a Pléiades imagery acquired on 13 September 2023 at 11:15 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Within the extent of the map, at least 64 structures appear to have been potentially exposed to rushing floodwaters.  
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, libya-floods
Organization: United Nations Satellite Centre (UNOSAT)
Preliminary satellite-derived reservoir assessment, Benghazi, Almarj & Derna governorates, East province, Libya - 19 September 2023

**UNOSAT code FL20230912LBY, GDACS Id: 1102204**  Status: increased water observed  
Further action(s): continue monitoring  
Wadi Qattarra Dam 1 & 2 appears to be filled as of 16 September 2023;  
Wadi Jaza dam appears to be filled as of 15 September 2023;  
Increased water observed in Al Marj dam as of 15 September 2023;  
Both Derna dams destroyed by rushing flood waters.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Power Supply Assessment in Derna & Al Bayda (Libya) using Night-time Light Imagery

**UNOSAT code FL20230912LBY, GDACS Id: 1102204**  Status: Power outage observed.  
Further action(s): continue monitoring  
Based on the estimation from night-time light, power supply of Derna reduced by more than 90% after the floods. As of 24 September 2023, the power supply of Derna has been restored to about 80% of its pre-floods level.  
As of 19 September 2023, the floods affected areas in Derna were still in blackout. Night-time light within the floods affected areas accounts for 30% of Derna’s total night-time light.  
Based on the estimation from night-time light, power supply of Al Bayda reduced 60% after the floods. As of 24 Sept. 2023, the power supply of Al Bayda has been restored to 90% of the pre-floods level.  
After the floods, Derna suffered the most severe power outage. Outer areas of Al Bayda had more power outage than the city center. On 24 September 2023, power supply in most areas of Derna and Al Bayda has recovered to the pre-floods levels.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
British Virgin Islands - 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
Malawi - 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
Anguilla - Population Density

<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="https://www.worldpop.org/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>
Datasets are available to download in Geotiff and ASCII XYZ format at a <u>resolution of 30 arc-seconds (approximately 1km at the equator)</u>
<br/> 

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding 
<a href="https://www.worldpop.org/geodata/listing?id=29">Unconstrained individual countries 2000-2020 population count datasets</a> by dividing the number of people in each pixel by the pixel surface area. 
These are produced using the <a href="https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained">unconstrained top-down modelling method</a>.
<br/> 
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding 
<a href="https://www.worldpop.org/geodata/listing?id=69">Unconstrained individual countries 2000-2020 population UN adjusted count datasets</a> by dividing the number of people in each pixel, 
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. 
These are produced using the <a href="https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained">unconstrained top-down modelling method</a>.
  
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/WP00674

Tags: baseline population, geodata
Organization: WorldPop
Aruba - 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
Falkland Islands (Malvinas) - 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