AndreaBozzo/ceres-open-data-index huggingface dataset:
Tropical Cyclone Lola over Vanuatu and Solomon- UNOSAT Live-Web Map

**UNOSAT code TC20231023VUT, GDACS Id: 1001027**  This application provides geospatial information about tropical cyclone infomation and number of potentially population affected by the tropical cyclone Lola over Vanuatu and Solomon.   
  
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: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Building Damage Assessment in Koshkak village, Zindajan District, Hirat Province, Afghanistan as of 16 October 2023

**UNOSAT code EQ20231008AFG, GDACS Id: 1394952**  This map illustrates destroyed and potentially damaged structures by the M6.3 Hirat earthquake of 15 October 2023 (03:36 UTC) as observed by using a Pléiades NEO very high-resolution satellite image acquired on 16 October 2023 at 06:44 UTC. Within the map extent, UNOSAT identified 491 destroyed structures, 1 potentially damaged structure and 179 temporary shelters.  
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)
Night-Time Light Loss Assessment in Derna & Al Bayda (Libya) using Night-time Light Imagery

**UNOSAT code FL20230912LBY, GDACS Id: 1102204**  Status: Significant light loss observed.  
Further action(s): Continuous observations planned for full assessment  
Severe floods in Libya have generated power supply outage in Derna and Al Baydā.  
About 5 km2 in Derna, and 4 km2 in Al Baydā became darker based on comparison of SDGSAT-1 images acquired before and after the floods.  
River delta area in Derna city lost the majority of night-time light, with power supply not fully restored as of 17 September 2023.  
In Al Baydā, power supply has been almost fully restored as of 17 September 2023.  
Continuous observations have been planned for full assessment of power recovery.

Tags: flooding, geodata, libya-floods
Organization: United Nations Satellite Centre (UNOSAT)
Wildfires in Tabarka delegation, Jendouba Governorate and El Krib delegation, Siliana Governorate as of 27 July 2023

**UNOSAT code FR20230725TUN, GDACS Id: 1015980**  This map illustrates satellite-detected burned areas in Tabarka delegation, Jendouba Governorate and El Krib delegation, Siliana Governorate, Tunisia based on a Sentinel-2 image aquired on 27 July 2023 at 10:20 UTC. Within the analysed area of about 2,800 km², about 29 km² of lands appear to be potentially burned. Based on Worldpop population data and the burned area extent about 7,700 people are potentially exposed or living close to burned 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: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Khersonska Oblast, Ukraine as of 06 June 2023

**UNOSAT code FL20230606UKR**  This map illustrates satellite-detected surface waters over Khersonska Oblast, Ukraine observed from a Sentinel-3 image acquired on 6 June 2023 at 08:30 UTC; and a Sentinel-2 image acquired on 3 & 5 June 2023. Within the analysed area of 19,000 km², about 120 km² of land appear to be flooded.  
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 impact analysis in Khemisti, Bou Ismail and Bouharoun Communes, Wilaya of Tipaza, Algeria  as of 27 May 2023

**UNOSAT code FL20230526DZA, GDACS Id: 1102025**  This map illustrates satellite-detected flash floods in Khemisti, Bou Ismail and Bouharoun Communes, Wilaya of Tipaza, Algeria as observed using Sentinel-2 satellite imagery acquired on 27 May 2023 at 11:36 local time. Within the surface analysed of 12,000 ha, about 63 ha of potentially affected area observed. UNOSAT identified 2 damaged ports, 794 affected and potentially affected structures & 31 affected and potentially affected roads.  
  
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 - Beledweyne City, Beledweyne District, Hiraan Region of Somalia as of 19 May 2023

**UNOSAT code FL20230327SOM, GDACS Id: 1101908**  This map illustrates satellite-detected surface waters over Beledweyne City, Beledweyne District, Hiraan Region of Somalia as observed from a Sentinel-2 image acquired on 19 May 2023 at 07:28 UTC. Within the analysed area of 166 km², about 63 km² of land appear to be flooded. Water extent appears to have increased by about 9 km² since 14 May 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)
Satellite detected water extent over Shabelle Zone, Somali Region, Ethiopia and Beledweyne and Northern Bulo Burto District, Hiraan Region of Somalia as of 14 May 2023

**UNOSAT code FL20230327SOM, GDACS Id: 1101908**  This map illustrates satellite-detected surface waters in Shabelle Zone, Somali Region of Ethiopia and Beledweyne and Northern Bulo Burto District, Hiraan Region of Somalia as observed from a Sentinel-2 image acquired on 14 May 2023 at 07:28 UTC. Within the analyzed area of about 8,000 km², about 500 km² of land appear to be flooded. Water extent appears to have increased by about 300 km² since 29 April 2023.  
Based on Worldpop population data and the detected surface waters in the analyzed area, about 29,700 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)
Tropical Cyclone MOCHA 23 - Population Exposure Analysis  in Bangladesh and Myanmar -V2- Issue date: 14 May 2023

**UNOSAT code TC20230510BGD, GDACS Id: 1000970**  Tropical Cyclone MOCHA formed over the southern Bay of Bengal on 11 May 2023 and has since then continued to move towards western Myanmar and southern Bangladesh. On 14 May 2023 12:00 UTC, the centre of the cyclone was located approximatively 75km Northeast of Sittwe City (Rakhine State, western Myanmar), with maximum sustained winds of 259 km/h. According to the forecast by JTWC, tropical cyclone MOCHA had a significant impact particularly on the coastal parts of Rakhine State, Myanmar and Chittagong Division, Bangladesh.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent along the Nyabarongo river West and South of Kigali City in Southern and Eastern Provinces, Rwanda as of 5 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 5 May 2023 at 05:45  local time. Within the analyzed area of about 6,000 km², about 54 km² of land appear to be flooded. Water extent appears to have increased by about 34km² since 3 May 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, about 34,600 people are potentially exposed or living close flooded areas mainly along the Nyabarongo river, the potentially exposed population is mainly located in Southern Province with ~11,000 people, and Eastern Province with ~6,000 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 water extent over Hiraan, Lower Shabelle, and Middle Shabelle Regions, Somalia as of 29 April 2023

**UNOSAT code FL20230327SOM, GDACS Id: 1101908**  This map illustrates satellite detected surface waters Hiraan, Lower Shabelle, and Middle Shabelle Regions Somalia as observed from Sentinel-2 image acquired on 29 April 2023 at 07:06 UTC. Within the analyzed area about 12,000 km², about 600 km² of land appear to be flooded. Water extent appears to have increased by about 480km² since 19 April 2023. Based on Worldpop population data and the detected surface waters in the analyzed area 59,000 people are potentially exposed or living close 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 extents over Tumbes  and Zarumilla Districts, Tumbes Province, Peru  as of 30 March 2023

**UNOSAT code FL20230321PER, GDACS Id: 1365556**  This map illustrates satellite-detected water using Sentinel-2 acquired on 30 March 2023, 10:52 local time over Tumbes and Zarumilla Districts, Tumbes Province, Peru. Within the cloud free analyzed areas of about 900 km², a total of about 11 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood water extent, ~2,400 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Preliminary satellite-derived flood evolution assessment - 23 September 2022

**UNOSAT code FL20220808PAK, GDACS Id: 1101522**  Status: Overall decreasing flood waters observed  
Further action(s): continue monitoring  
Evolution of Cumulative Flood Impact Assessment (08 - 14 September Vs 15-21 September 2022):  
From 15 to 21 September 2022 approximately 17 million people remain potentially exposed or living close to flooded areas;  
Based on satellite observations between 08 to 14 September 2022 and compared with observations between 15 and 21 September 2022, the overall flood waters extents appears to continue to decrease with approximately 600 km² in Balochistan, ~Punjab 1,100 km²  and  ~5,000 km² in Sindh.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents over Sukhuma District, Champasak Province, LAO PDR as of 1 October 2022

**UNOSAT code TC20220928LAO, GDACS Id: 1000922**  This map illustrates satellite-detected surface waters in Sukhuma District, Champasak Province, Lao PDR as observed from a Sentinel-1 image acquired on 1 October 2022 at 05:45 local time. Within the extent of this map of 360 km2 , about 12 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, about 2,500 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)
Satellite detected water extents between 1 and 25 October 2022 over Nigeria

**UNOSAT code FL20221019NGA**  This map illustrates cumulative satellite-detected water using VIIRS in Nigeria between 1 to 25 October 2022 compared with the period from 1 to 30 September 2022. Within the cloud free analysed areas of about 912,000 km², a total of about 48,300 km² of land appears to be affected. In the analysed areas, 1,370 health facilities and 2,730 schools are identified to be within or close to a flooded zone. In comparison with the period between 1 to 30 September 2022, water extent appears to have increased of about 2,300 km². Based on Worldpop population data  
and the maximal flood water extent ~12,200,000 people are potentially exposed or living close to flooded areas amongst the 220 million people  
living in the analysed zone.  
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)
Uganda Shops (OpenStreetMap Export)


OpenStreetMap exports for use in GIS applications.

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

tags['shop'] IN ('alcohol','art','bakery','beauty','beverages','bicycle','books','butcher','car','car_parts','car_repair','charcoal','chemist','clothes','convenience','copyshop','cosmetics','electronics','food','furniture','greengrocer','hairdresser','houseware','jewelry','kiosk','mobile_phone','pastry','shoes','stationary','supermarket','tailor','yes')

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [highway](http://wiki.openstreetmap.org/wiki/Key:highway)

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
Organization: Humanitarian OpenStreetMap Team (HOT)
Satellite detected water extent in N'Djamena department, N'Djamena Region, Chad as of 24 October 2022

**UNOSAT code FL20221019TCD**  This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a WorldView-2 image acquired on 24 October 2022 at 10:38 local time. Within the analyzed area of about 300 km2, about 38 km2 of lands appear to be flooded and 14,799 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 154,000 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)
Guam - 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
Coastal proximity of populations in 22 Pacific Island Countries and Territories - Dataset - Cook Islands

Spatial datasets utilized to conduct the spatial analysis and additional information from the research article: Coastal proximity of populations in 22 Pacific Island Countries and Territories. 
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223249
https://sdd.spc.int/mapping-coastal


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

Tags: demographics
Organization: Pacific Community
Percentage of Population within 1 5 & 10km Coastal Buffers

A collaborative project between SPC, the World Fish Centre and the University of Wollongong has produced the first detailed population estimates of people living close to the coast in the 22 Pacific Island Countries and Territories (PICTs). These estimates are stratified into 1, 5, and 10km zones.
More information about this dataset: https://sdd.spc.int/mapping-coastal

_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/percentage-of-population-within-1-5-10km-coastal-buffers)_

Tags: environment
Organization: Pacific Community
Wildfires in Viña del Mar Commune, Valparaíso Province, Valparaíso Region, Chile as of 29 December 2022

**UNOSAT code FR20221229CHL**  This map illustrates satellite-detected burned areas in Viña del Mar Commune, Valparaíso Province, Valparaíso and Metropolitan Regions, Chile based on Sentinel-2 images acquired on 29 December 2022 at 11:52 local time. Within the map extent of about 1,700 ha, about 120 km² of lands appear to be potentially burned. Based on Worldpop population data and the burned area extent, about 4,000 people are potentially exposed or living close to burned 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: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 17 and 21 January 2023 over South Sudan

**UNOSAT code FL20220424SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 17 to 21 January 2023 compared with the period from 12 to 16 January 2023. Within the cloud free analyzed areas of about 629,000 km², a total of about 47,700 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 3,000 km² since the period between 12 to 16 January 2022. Based on Worldpop population data and the maximal flood water extent ~795,000 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 26 and 30 January 2023 in Southern, Lusaka, and Central  Provinces, Zambia

**UNOSAT code FL20230131ZMB**  This map illustrates cumulative satellite-detected water using VIIRS in Southern, Lusaka, and Central Provinces, Zambia between 26 to 30 January 2023. Within the cloud free analyzed areas of about 20,000 km² and based on Worldpop spatial demographic data and the maximum flood water extent, about 80,000 people out of 800,000 are potentially exposed or living close to maximum floodwaters 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Ireland - 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