AndreaBozzo/ceres-open-data-index huggingface dataset:
Landslide impact analysis in Oni District, Racha-Lechkhumi and Kvemo Svaneti Region, Georgia as of 06 August 2023

**UNOSAT code LS20230804GEO, GDACS Id: 1102154**  This map illustrates satellite-detected landslides/mudflow in Oni District, Racha-Lechkhumi and Kvemo Svaneti Region, Georgia as observed from a Pléiades imagery acquired on 06 August 2023 at 14:30 local time.  
Within the analyzed area of 9,600 ha, about 220 ha of landslide scars were observed. UNITAR-UNOSAT identified 30 affected structures and 6 potentially affected 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: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Densité des foyers d'incendie dans les délégations de Nefza, Ain Draham et Tabarka, Gouvernorat de Jendouba le 25 juillet 2023

**UNOSAT code FR20230725TUN, GDACS Id: 1015980**  Cette carte illustre la densité des foyers d'incendie détectés à partir des données VIIRS acquises le 25 juillet 2023. La délégation de Tabarka compte un nombre total de 45 foyers d'incendie. En se basant sur les données démographiques Worldpop, environ 2,200 personnes dans le gouvernorat de Jendouba vivent à proximité des foyers d'incendie, dont 1,900 dans la délégation de Tabarka.  
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)
Densité des foyers d'incendies dans les wilayas de Bouira, Tizi Ouzou et Bejaia le 24 juillet 2023

**UNOSAT code FR20230724DZA, GDACS Id: 1015944**  Cette carte illustre la densité des foyers d'incendies détectés à partir des données VIIRS acquises le 24  juillet 2023. Les wilayas de Bouira, Bejaia et Skikda semblent compter le plus grand nombre de foyers d'incendie avec respectivement 398; 320 et 108. En se basant sur les données démographiques Worldpop, environ 44,000 personnes dans la wilaya de Skikda; 20,000 personnes dans la wilaya de Bejaia et 14,000 personnes dans la wilaya de Bouira vivent à proximité des foyers d'incendie.  
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)
Bahrain - 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 over Kardashynka Village, Kokhany Village and surroundings, Khersonskyi Region, Khersonska Oblast, Ukraine as of 07 June 2023

**UNOSAT code FL20230606UKR**  This map illustrates satellite-detected flood waters and affected structures over Kardashynka and Kokhany Villages and surroundings in Khersonska Oblast (Ukraine) as detected from a WorldView-3 image acquired on 7 June 2023 at 08:19 UTC; and ICEYE image acquired on 7 June 2023. Within the analysed area of 27 km², about 81% (22 km²) of Kardashynka Village, and Kokhany Village and surrounding area appears to be flooded. 8,728 structures and 38 harbours are affected.  
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)
Flood water extent over Hola Prystan City in the east bank of the Dnipro (Dnieper) in Khersonska Oblast, Ukraine as of 17 June 2023; 09:13 UTC

**UNOSAT code FL20230606UKR**  This map illustrates satellite-detected flood waters and affected structures over Hola Prystan City, in the east bank of the Dnieper/Dnipro River in Khersonska Oblast, Ukraine as observed from a WorldView-3 satellite images acquired on 17 June 2023 at 09:13 UTC and 8 June 2023 at 08:35 UTC.   Within the analysed area of 11 km², about 27% (3 km²) of Hola Prystan City area appears to be flooded. Water extent appears to have decreased by about 5 km² since 8 June 2023. About 1,300 structures were still affected by floods on 17 June 2023.  
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 in Saint Martin’s Island Cox’Bazar District, Chittagong Division  as of 15 May 2023

**UNOSAT code TC20230510BGD, GDACS Id: 1000970**  This map illustrates satellite-based damage assessment in Saint Martin’s Island Cox’Bazar District, Chattogram Division detected by using a Pleiades very high-resolution satellite image acquired on 15 May 2023. Within the analyzed area, UNOSAT identified 211 affected and potentially affected structures.  
  
Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 17% of the total number of structures affected in Saint Martin’s Island.  
  
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)
Preliminary satellite flood and landslide assessment report, Along Sebaya River, Rubavu District, Karongi Districtn Western Province, Rwanda

**UNOSAT code FL20230504RWA, GDACS Id: 1101977**  Status: Washed away structures and damaged transportation network observed along the Sebaya River  
Further action(s): Continue monitoring  
Landslides /mudslides observed in Rubavu District, Western Province as of 6 May 2023;  
Washed away structures observed along the Sebaya River in Rubavu District, Western Province as of 6 May 2023;  
Damaged roads and damaged bridge by landslide/mudslide observed along the Sebaya River in Rubavu District, Western Province as of 6 May 2023;

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 17 and 21 March 2023 over Southern Region, Malawi

**UNOSAT code TC20230314MWI, GDACS Id: 1000961**  This map illustrates cumulative satellite-detected surface waters in Southern Region, Malawi between 17 to 21 March 2023 as observed from: VIIRS imagery from 17 to 21 March 2023; Sentinel-1 imagery acquired on 17 Mar. 2023 and Sentinel-2 imagery acquired on 21 Mar. 2023.  
Within the analyzed area of about 30,000 km2, about 2,100 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, ~280,000 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)
Satellite detected water extent and evolution over Southern Region in Malawi & Tete and Zambezia Provinces in Mozambique between 14 and 17 March 2023

**UNOSAT code TC20230314MWI, GDACS Id: 1000961**  This map illustrates satellite-detected surface waters in Southern Region, Malawi & Tete and Zambezia Provinces, Mozambique as observed from a Sentinel-1 image acquired on 17 Mar. 2023 at 05:09 local time.  
Within the analyzed area in Malawi of about 5,000 km2, about 320 km2 of land appear to be flooded. Water extent appears to have increased of about 60km² since the 14 Mar. 2023.  
Within the analyzed area in Mozambique of about 20,500 km2, about 1,000 km2 of land appear to be flooded. Water extent appears to have increased of about 150km² since the 14 Mar. 2023.  
Based on Worldpop population data and the detected surface waters in the analyzed area in Malawi and Mozambique, respectively ~47,000 people and ~75,000 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)
Satellite detected water extent over Matutuine District, Maputo Provinces, Mozambique as of 14 Mar. 2023

**UNOSAT code TC20230221MOZ, GDACS Id: 1000961**  This map illustrates satellite-detected surface waters in Matutuine District, Maputo Province, Mozambique as observed from a Sentinel-1 image acquired on 14 Mar. 2023 at 18:30 local time and using an automated analysis with a machine learning method. Within the analyzed area of about 2,800 km2, about 30 km2 of land appear to be flooded. Water extent appears to have decreased by about 33 km2 since 2 Mar. 2023.  
  
Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the Bela Vista district, with ~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).  
  
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 Al Bab, Syria as of 11 February 2023

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372**  This map illustrates the potentially damaged structures/buildings affected by the 6th of February 2023 earthquake in Al Bab and in Al Bab district (Aleppo governorate), Syria as detected from a Pleiades very high resolution satellite image acquired on 11 February 2023. UNOSAT identified 16 damaged structures and 85 potentially 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: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Capiz Province, Region VI, Philippines  as of 2 November 2022

**UNOSAT code TC20221028PHL, GDACS Id: 1000942**  This map illustrates satellite-detected surface waters in Capiz Province, Region VI, Philippines as observed from a Sentinel-1 image acquired on 2 November 2022 at 05:39 local time.   
Within analyzed area of about 1,300 km2, about 28 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 15,000 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 backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Jindires and the surrounding area, Syria as of 10 February 2023

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372**  This map illustrates the potentially damaged structures/buildings affected by the 10h of February 2023 earthquake in  Jindires and in the surrounding area in Afrin district (Aleppo governorate), Syria as detected from a Pleiades very highresolution satellite image acquired on 10 February 2023. Within the 17 locations (including the city of Jindires), UNOSAT identified 310 damaged structures and 470 potentially 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: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 12 and 16 October 2022 over Nicaragua

**UNOSAT code TC20221014NIC**  This map illustrates cumulative satellite-detected water using VIIRS in Nicaragua between 12 to 16 October 2022 compared with the period from 27 September to 01 October 2022. Within the cloud free analyzed areas of about 240,000 km², a total of about 3,200 km² of lands appear to be affected. Water extent appears to have increased of about 2,300 km² since the period between 27 September to 01 October 2022. Based on Worldpop population data and the maximal flood water extent ~120,000 people are potentially exposed or living close to flooded areas amongst the 6,570,000 people living in cloud free 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).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Madagascar - 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
Montserrat - 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
French Polynesia - 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