AndreaBozzo/ceres-open-data-index huggingface dataset:
Geodata of Land Cover Classification along Kahayan River, Central Kalimantan, Indonesia

This map illustrates a land cover classification along Kahayan River in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 3 August 2015 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in 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)
Italy Health 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['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy')

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)
- [healthcare](http://wiki.openstreetmap.org/wiki/Key:healthcare)
- [healthcare:speciality](http://wiki.openstreetmap.org/wiki/Key:healthcare:speciality)
- [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:it](http://wiki.openstreetmap.org/wiki/Key:name:it)

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: geodata, health, health facilities
Organization: Humanitarian OpenStreetMap Team (HOT)
Italy Waterways (OpenStreetMap Export)



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

tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay')

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [name:en](http://wiki.openstreetmap.org/wiki/Key:name:en)
- [waterway](http://wiki.openstreetmap.org/wiki/Key:waterway)
- [covered](http://wiki.openstreetmap.org/wiki/Key:covered)
- [width](http://wiki.openstreetmap.org/wiki/Key:width)
- [depth](http://wiki.openstreetmap.org/wiki/Key:depth)
- [layer](http://wiki.openstreetmap.org/wiki/Key:layer)
- [blockage](http://wiki.openstreetmap.org/wiki/Key:blockage)
- [tunnel](http://wiki.openstreetmap.org/wiki/Key:tunnel)
- [natural](http://wiki.openstreetmap.org/wiki/Key:natural)
- [water](http://wiki.openstreetmap.org/wiki/Key:water)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)
- [name:it](http://wiki.openstreetmap.org/wiki/Key:name:it)

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: geodata, hydrology, rivers
Organization: Humanitarian OpenStreetMap Team (HOT)
Antigua and Barbuda - 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
Seychelles - Pregnancies

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2"  target="_blank">Tatem et al</a> and <a href="https://www.nature.com/articles/sdata201890"  target="_blank">James et al.</a>.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Seychelles 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00497

Tags: geodata, maternity
Organization: WorldPop
Anguilla - Pregnancies

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2"  target="_blank">Tatem et al</a> and <a href="https://www.nature.com/articles/sdata201890"  target="_blank">James et al.</a>.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Anguilla 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00515

Tags: geodata, maternity
Organization: WorldPop
Kremenchuk Damage Assessment Overview

**UNOSAT code CE20220223UKR**  This map illustrates a satellite imagery based building damage assessment in the city of Kremenchuk, Ukraine. Based on imagery collected on 29 June 2022, the analysis showed 26 structures with visible damage. Out of these, 1 is destroyed, 7 severely damaged, 3 moderately damaged and 15 possibly damaged. Inset 1 shows a building identified as severely damaged on 29 June 2022.  
  
While no complete count of buildings for Kremenchuk is available, an open source dataset, which is visibly incomplete, indicates at least 19,209 structures in the area.  
  
This analysis is based on visibly damaged structures as of 29 June 2022, as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. 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: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Myanmar - Pregnancies

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2"  target="_blank">Tatem et al</a> and <a href="https://www.nature.com/articles/sdata201890"  target="_blank">James et al.</a>.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Myanmar 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00620

Tags: geodata, maternity
Organization: WorldPop
Population potentially exposed to floods between 12&21 July 2020  in Bangladesh

**UNOSAT code: FL20200713BGD**  This map illustrates potentially exposed population to floods (cumulative) aggregated by district using NOAA20-VIIRS in Bangladesh  between the 12th and the 21st of July 2020 and Worldpop spatial demographic data. About 34 million people were  exposed or living close to flooded areas. The most exposed districts mainly located in Sylhet, Mymensingh and Rajshahi divisions.

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

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2"  target="_blank">Tatem et al</a> and <a href="https://www.nature.com/articles/sdata201890"  target="_blank">James et al.</a>.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Comoros 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00473

Tags: geodata, maternity
Organization: WorldPop
Malawi - Pregnancies

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2"  target="_blank">Tatem et al</a> and <a href="https://www.nature.com/articles/sdata201890"  target="_blank">James et al.</a>.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Malawi 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00487

Tags: geodata, maternity
Organization: WorldPop
Satellite detected water and landslide extents in Kinshasa Province, Democratic Republic of The Congo as of 28 December 2023

**UNOSAT code: FL20231229COD**  This map illustrates satellite-detected surface waters and landslides in Kinshasa Province, Democratic Republic of The Congo, as observed from a Sentinel-2 image acquired on 28 December 2023, at 10:21 local time. Within the analysed area of 44,000 ha, approximately 3 ha of landslide scars are observed and about 460 ha of land appear to be flooded. Based on Worldpop population data, the detected surface waters and the landslide scar extent, about 25,000 people are potentially exposed or living close to landslide and flooded areas.  
   
This is a preliminary analysis and has not yet been validated in the field. Please provide ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood impact assessment in Derna City centre, East Province, Libya

**UNOSAT code FL20230912LBY, GDACS Id: 1102204**  This map illustrates satellite-detected flood extent in the centre of Derna (Libya) as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Extensive damage and destructions are observed in the city centre and the port area. 2217 buildings were affected by the rushing floodwaters in Derna and 886 in this sector of the city.  
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)
United Republic of Tanzania - Pregnancies

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2"  target="_blank">Tatem et al</a> and <a href="https://www.nature.com/articles/sdata201890"  target="_blank">James et al.</a>.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. United Republic Of Tanzania 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00435

Tags: geodata, maternity
Organization: WorldPop
North Macedonia - 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
Flood impact assessment in Derna City, East Province, Libya

**UNOSAT code FL20230912LBY, GDACS Id: 1102204**  This map illustrates satellite-detected flood extent in Derna City located in the East Province of Libya, as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Within the city of Derna, at least 2,217 buildings appear to have been 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)
Évaluation des dégats à Taroudant, région de  Taroudant, province de Souss Massa, Maroc, au 10 Septembre 2023

**UNOSAT code EQ20230909MAR, GDACS Id: 1390643**  Cette carte illustre les structures/bâtiments potentiellement endommagés par le séisme du 8 Septembre 2023 à Taroudant (à 155 km au SO de Marrakech)  tel qu'observé à partir de l’analyse d’une image satellite Pléiades acquise le 10 Septembre 2023. Dans ce secteur d’analyse, UNOSAT a identifié 205 bâtiments endommagés et/ou potentiellement endommagés. L'observation d'un regroupement de tentes au NE de la ville indiquerait une zone de rassemblement temporaire de sinistrés.   
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: earthquake-tsunami, geodata, morocco-earthquake
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters over Khersonska 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 20,000 km², surface waters appear to have receded of about 220 km².  
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)
Guam_Population_Grid_2020

Population Raster Guam 2020 Data Input: 
Settlement footprint from Facebook's High-Resolution Population Density Maps https://data.humdata.org/dataset/guam-high-resolution-population-density-maps-demographic-estimates Population allocated proportionally using 2011 census population counts at district level. Year Population Growth Rate of 1.64% 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/gum_population_grid_2020)_

Tags: population
Organization: Pacific Community
Preliminary Satellite Flood Assessment Report, Dadaab Refugee Camp, Kenya

**UNOSAT code FL20230321KEN**  Status: Increased water extent observed  
Further action(s): continue monitoring  
Summary of findings: Increased water observed along Lagh Dera River in the vicinity of Dagahaley Refugee Camp as of 21 March 2023;  
Cloud cover over Dagahaley and Ifo Refugee Camp as of 21 March 2023;  
Potentially flooded areas observed in Dadaab town as of 21 March 2023;  
Increased water in the whole river basin observed around the Dadaab Refugee Complex as of 21 March 2023.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Cumulative Satellite Detected Waters and Impact over Khersonska Oblast in Ukraine between 06 and 09 June 2023

**UNOSAT code FL20230606UKR**  This map illustrates cumulative satellite-detected water using ICEYE images and Sentinel-3 images acquired between the 06th and the 09th of June 2023. Within the analysed area of 19,000 km², about 620 km² of land appear to be flooded. Based on Worldpop population data from 2020 and the flood water extent, ~110,000 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: Population data used for this estimate is from 2020. Current population count is not available.

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