AndreaBozzo/ceres-open-data-index huggingface dataset:
Damage assessment  in Roxas town, Palawan province, Region IV-B (Mimaropa), Philippines  as of 21 December 2021

**UNOSAT code: TC20211216PHL**  This map illustrates potentially damaged structures/buildings in Roxas town,
Palawan province, Region IV-B (Mimaropa) of Philippines as observed from a Pleiades image acquired on 21 December 2021 after landfall of the Tropical Cyclone RAI-21.

Within the analysis extent, UNITAR-UNOSAT identified 280 damaged structures and 265 potentially damaged structures including Roxas Medicare Hospital and 6 potentially damaged education facilities.

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)
Damage assessment of Old City, Mosul, Ninawa Governorate, Iraq (11 June 2017)

This map illustrates satellite-detected damage in Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 11 June 2017, UNITAR - UNOSAT identified a total of 2,589 affected structures within this part of city. Approximately 153 (6% of the total affected buildings) of these were destroyed, 950 (37% of the total affected buildings) severely damaged and 1,486 (57% of the total affected buildings) moderately damaged. The most heavily impacted location appears to be the Bazaar area (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 20 and 24 April 2022 over South Sudan

**UNOSAT code: FL20220424SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 01 to 05 April 2022 compared with the period from 20 to 24 April 2022. Within the cloud free analyzed areas of about 16,000,000 km2, a total of about 10,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,700 km2 since the period between 01 to 05 April 2022. Based on Worldpop population data and the maximal flood water coverage, ~250,000 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)
Geodata of Damage Assessment of Aleppo, Aleppo Governorate, Syria

This map illustrates satellite-detected damage and destruction in a portion of the city of Aleppo, Aleppo Governorate, Syria. Using satellite imagery acquired 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR / UNOSAT identified a total of 3,875 affected structures within the area of this map. Approximately 630 of these were destroyed, 2,127 severely damaged, and 1,118 moderately damaged. The city-wide analysis of Aleppo revealed a total of 8,510 affected structures, of which 1,543 were destroyed, 4,847 severely damaged, and 2,120 moderately damaged. While much of the city was damaged by 23 Sepetember 2013, 7,937 structures were newly damaged and 17 structures experienced an increase in damage between that date and 23 May 2014. This analysis was done of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Ampara and Batticaloa Districts, Sri Lanka

This map illustrates satellite-detected areas of probable flood waters as detected in a Radarsat-2 satellite image collected 30 December 2014 and Sentinel-1 data collected 18 December 2014. Detected flood waters are primarily concentrated along coastal areas and shores of inland lakes, with few large bodies of flood waters detected. Numerous roads and railroads are likely inundated by flood waters which may impede transport in those areas. It is likely that flood waters have been systematically underestimated in highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Colombia: Cálculo de Personas en Necesidad (PiN) del Clúster de Agua, Saneamiento e Higiene (WASH)

Esta base contiene el resultado final del cálculo las Personas en Necesidad (PiN), las severidades y las desagregaciones poblacionales para el Clúster de Agua, Saneamiento e Higiene (WASH) en Colombia, 2026.

Tags: people in need-pin, severity, water sanitation and hygiene-wash
Organization: 3iS
China - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Satellite detected water extents Alcobaca, Prado & Itamaraju municipalities, State of Bahia, Brazil

**UNOSAT code: FL20211213BRA**  This map illustrates satellite-detected surface waters in Alcobaca, Prado and Itamaraju municipalities, State of Bahia, Brazil as observed from Sentinel-2 image acquired on 11 Dec. 2021 & Sentinel-1 image acquired on 09 Dec. 2021. Within the analyzed area of about 300,000 ha, about 13,500 ha of lands appear to be flooded. Along the Jucuruçu river, mainly agricultural lands appear to be flooded.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment in Bucas Grande Island, Socorro, Surigao del Norte of Philippines as of 17 December 2021

**UNOSAT code: TC20211216PHL**  This map illustrates potentially damaged structures/buildings in Bucas Grande Island, Socorro, Surigao del Norte of Philippines as detected by WorldView-3 image acquired on 17 December 2021. Within the analyzed area, UNOSAT has identified 351 damaged structures, 129 potentially damaged structures, 5 road obstacles and 1 destroyed bridge.

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 extents in Miandrivozo district, Menabe region, Madagascar as of 7 February 2022

**UNOSAT code: TC20220201MDG**  This map illustrates satellite-detected surface waters over Miandrivozo district, Menabe region, Madagascar observed from Sentinel-2 image acquired on 7 February 2022 at 10:12 local time. Within the analyzed cloud free zones of about ~1,000 km2, a total of about 53 km2 of lands appear to be flooded. 

Based on Worldpop population data and the detected surface waters, about 1,200 people are potentially exposed or living close to flooded areas. 

This is a preliminary analysis that 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)
Ukraine: NRC Humanitarian Proximity Analysis Data

This methodology was developed by the NRC Ukraine Cash Team to support spatial prioritization in humanitarian response. It combines three core dimensions: the classification of areas as urban or rural, proximity to the active frontline, and the number of recorded security incidents. These indicators are calculated at the Hromada (ADM3), Raion (ADM2), and Oblast (ADM1) levels to facilitate geographic targeting, risk analysis, and evidence-based decision-making. For example, as of the date of running this script, this dataset incorporates security incidents reported over the 12-month period based on ACLED (Armed Conflict Location & Event Data Project) data. Incidents are disaggregated into five time frames—1 month, 3 months, 6 months, 9 months, and 12 months—to allow users to identify both recent and long-term trends in conflict activity. This dataset will be updated/published monthly on NRC’s HDX account.

Tags: complex emergency-conflict-security
Organization: Norwegian Refugee Council
Kenya Admin Boundaries - Election Polling stations

Polling station locations



**Abstract:** This data comes from [http://vote.iebc.or.ke](http://vote.iebc.or.ke)
Use the _sphericalmercator versions with TileMill, will be much faster. Otherwise, you're probably fine with the unprojected versions.
There are simple endpoints for requesting json encoded data. download.py iterates, caches, and builds the output



**Instructions:** Polling station location Shapefile can be downloaded from [https://github.com/mikelmaron/kenya-election-data/tree/master/output](https://github.com/mikelmaron/kenya-election-data/tree/master/output)




Tags: geodata, governance and civil society
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Gaza OSM Buildings Baseline (before October 7, 2023)

Dataset reflects digitization from January to July 2024 using imagery that was captured between 2019 and 2023. Data was obtained from a Geofabrik mirror dated January 1st 2025 (https://download.geofabrik.de/asia/israel-and-palestine.html), after Humanitarian OpenStreetMap Team's mapping initiative (https://wiki.openstreetmap.org/wiki/Gaza_Update_2024).  

Tags: complex emergency-conflict-security, conflict-violence
Organization: Humanitarian OpenStreetMap Team (HOT)
Satellite detected waters in Quang Tri Province of Viet Nam as of 25 October 2020

**UNOSAT code: TC20201013VNM**  This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 25 October 2020. Within the analyzed area of about 1,500 km2, a total of about 140 km2 of lands appear to be flooded. The water extent appears to have receded of about 40 km2 since 22 October 2020. Based on Worldpop population data and the detected surface waters, about 30,000 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 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)
REACH Libya 2022 Multi-Sectoral Needs Assessment (Libyan Population)

The dataset for the 2022 Libyan population Multi-Sectoral Needs Assessment can be requested here. The data summaries for the dataset can be viewed on the "REACH Libya 2022 Multi-Sectoral Needs Assessment (Libyan Population)" page.

Data collection took place between July 4th and October 4th, 2022 and covered a total of 3,758 households across 15 selected baladiyas. Findings are generalisable per population group and per baladiya with a 95 confidence interval and a 5% margin of error.** Findings relating to subsets of the sample are indicative only.

Tags: displacement, education, food security, health, internally displaced persons-idp, livelihoods, needs assessment, protection, water sanitation and hygiene-wash
Organization: REACH Initiative
REACH Libya 2021 Multi-Sectoral Needs Assessment (Libyan Population) - Dataset

The dataset for the 2021 Libyan population Multi-Sectoral Needs Assessment can be requested here. The data summaries for the dataset can be viewed on the "REACH Libya 2021 Multi-Sectoral Needs Assessment (Libyan Population) - Data summaries" page. 

The needs assessment covers protection, health, WASH, Shelter and NFI, Education, food security, livelihoods, cash, and markets. 

A total of 8871 household surveys were completed across 45 baladiyas (ADM3) in Libya. 

Due to ongoing COVID-19 restrictions and safety measures, all surveys took place over the phone. A non-probability, quota based sampling methodology was established, to ensure an accurate and robust cross-section of the Libyan population. Quotas were established for baladiyas (quota 1) and sub-groups within the population (non-displaced, IDPs, and returnees) (quota 2). Findings presented are not representative, and should be read only as indicative. 

Sampling of respondents was done primarily through Civil Society Organisation (CSO) networks, municipalities, International Non-Government Organisation (INGO) partners, and various local committees. 1000 of the total number of surveys were sampled through Random Digit Dialing (RDD) by a Libyan company specialized in this methodology. Additional sampling and data collection was done by international and national NGO  partners and UN programmes.

Quantitative data collection took place between 14 June and 31 July. 

Tags: needs assessment
Organization: REACH Initiative
Geodata of Damage Assessment of Zumar, Nineveh Governorate, Iraq

This map illustrates satellite-detected damage and destruction in the city of Zumar, Nineveh Governorate, Iraq. Using satellite imagery acquired 02 January 2015 and 08 January 2014, UNITAR / UNOSAT identified a total of 308 affected structures. Approximately 98 of these were destroyed, 134 severely damaged, and 76 moderately damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
REACH Libya 2021 Multi-Sectoral Needs Assessment (Libyan Population) - Data summaries

The data summaries here include the individual indicator results from the 2021 Libyan population Multi-Sectoral Needs Assessment. The data can be requested from HDX connect through the "REACH Libya 2021 Multi-Sectoral Needs Assessment (Libyan Population) - Dataset" page. 

The needs assessment covers protection, health, WASH, Shelter and NFI, Education, food security, livelihoods, cash, and markets. 

A total of 8871 household surveys were completed across 45 baladiyas (ADM3) in Libya. 

Due to ongoing COVID-19 restrictions and safety measures, all surveys took place over the phone. A non-probability, quota based sampling methodology was established, to ensure an accurate and robust cross-section of the Libyan population. Quotas were established for baladiyas (quota 1) and sub-groups within the population (non-displaced, IDPs, and returnees) (quota 2). Findings presented are not representative, and should be read only as indicative. 

Sampling of respondents was done primarily through Civil Society Organisation (CSO) networks, municipalities, International Non-Government Organisation (INGO) partners, and various local committees. 1000 of the total number of surveys were sampled through Random Digit Dialing (RDD) by a Libyan company specialized in this methodology. Additional sampling and data collection was done by international and national NGO  partners and UN programmes.

Quantitative data collection took place between 14 June and 31 July. 

Tags: needs assessment
Organization: REACH Initiative
Satellite detected water extent over Rangpur Division, Bangladesh  as of 21 Jun. 2022

**UNOSAT code: FL20220525BGD**  This map illustrates satellite-detected surface waters in Rangpur Division, Bangladesh as observed from a Sentinel-1 images acquired on 21 Jun. 2022 at 18:05 local time and using an automated analysis with machine learning method. Within the analyzed area of about 12,400 km2, about 1,200 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 mainly located in the district of Kurigram with ~537,000 people, and Gaibandha with ~355,000 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 backscattering properties of the radar signal.


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Syria - 2016 Damage density in Hama, Hama Governorate

This map illustrates satellite-detected damage density in the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 06 July and 30 June 2016, 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,968 affected structures, of which 4,969 were destroyed, 345 severely damaged, and 654 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents over Rubkona, Koch, and Guit Counties of South Sudan as of 17 October 2021

**UNOSAT code: FL20211015SSD**  This map illustrates satellite-detected water in Rubkona, Koch, and Guit Counties of South Sudan as observed from a Sentinel-2 image acquired on 17 October 2021. Within the cloud free analyzed areas of about 40,000km2, a total of about 5,700 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, ~138,000 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)
Afghanistan: Combined Drought Indicator (CDI)

The Combined Drought Indicator (CDI) dataset identifies different drought classes and their extent, focusing on vegetated areas (at risk, affected, and recovering). It integrates three complementary indicators — Standardized Precipitation Index (SPI), Soil Moisture Index Anomaly (SMA), and FAPAR anomaly — to capture meteorological, agricultural, and vegetation drought conditions.

The dataset consists of raster maps with a spatial resolution of ~5 km at the Equator, using WGS84 (EPSG:4326) as the coordinate system. Data are available from 2012 to the present, updated every 10 days, which is suitable for monitoring short-term crop stress.

Produced operationally by the European Drought Observatory (EDO), the CDI maps are freely accessible online.
Recent updates include:

CDIv3 (March 2023): integration of static crop masks to limit analysis to active growing seasons.

CDIv4 (June 2024): introduction of dynamic snow masks and a new soil moisture input based on EFAS v5.

More: https://drought.emergency.copernicus.eu/data/factsheets/factsheet_combinedDroughtIndicator_v4.pdf

Organization: OCHA Afghanistan
Saint Vincent and the Grenadines - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Satellite-detected water extents  in Amboasary-Atsimo and Taolagnaro districts, Anosy region as of 8 February 2022

**UNOSAT code: TC20220201MDG**  This map illustrates satellite-detected surface waters in Amboasary-Atsimo and Taolagnaro districts, Anosy region, Madagascar as of 8 February 2022 at 05:21 local time. The flood analysis were carried out by using an automated analysis with Artificial Intelligence based methods.

Within the analyzed area of about 2,700 km2, about 30 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,000 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 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)