AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite-detected Damage the UNESCO Tentative List component Chiang Mai as of 29 March 2025

**UNOSAT code: EQ20250328THA, GDACS ID: 1474477**  This map shows no visible damage based on a very high resolution satellite image collected 29 March 2025 when compared to very high resolution satellite imagery from 1 February 2025. The USGS shake map indicates the intensity of the earthquake measured 5.0 in this area.  
  
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: crisis-myanmar-earthquake, earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Building Damage Assessment in Panay Island, Catanduanes Province, Bicol Region, The Philippines as of 18 November 2024

**UNOSAT code: TC20241117PHL, GDACS ID: 1001124**  This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 and 20 November 2024. Within the defined analysis area, UNOSAT has identified 45 structures as damaged and 37 as potentially damaged. Out of a total of 132 buildings identified within the analysis extent, this represents approximately 50% of buildings as damaged.  
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)
UNOSAT Live Web Map -M 7.3 Earthquake - Port-Vila, Vanuatu

**UNOSAT code: EQ20241217VUT, GDACS ID: 1458084**  This application provides geospatial information on ongoing satellite based-assessment related with the 7.3M magnitude earthquakes in Vanuatu of the 17 December 2024  
  
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. The United Nations Satellite Centre -UNOSAT is not responsible for the misuse or misrepresentation of the map.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Riosucio Municipality, Chocó Department, Colombia as of 17 November 2024

**UNOSAT code: FL20241112COL, GDACS ID: 1102988**  This map illustrates satellite-detected water extent in Riosucio Municipality, Chocó Department, Colombia as observed from a TanDEM-X radar image acquired on the 17 November 2024. Within the analysed area of about 1,130km², a total of about 12 km² of lands appear to be affected with flood waters.  
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 based on radar images may underestimate the extent of standing water in built-up or densely vegetated areas due to the radar signal's backscattering properties.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Gaza Strip Comprehensive Damage Assessment - 01 December 2024

**UNOSAT code: CE20231007PSE**  This map illustrates a satellite imagery-based comprehensive assessment of damage and destruction to structures within the area of interest in the Gaza Strip, Occupied Palestinian Territory, based on images collected on 1 December 2024 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, 7 November 2023, 26 November 2023, 6-7 January 2024, 29 February 2024, 31 March - 1 April 2024, 3 May 2024, 6 July 2024, and 3-6 September 2024. According to satellite imagery analysis, UNOSAT identified 60,368 destroyed structures, 20,050 severely damaged structures, 56,292 moderately damaged structures, and 34,102 possibly damaged structures for a total of 170,812 structures. These correspond to around 69% of the total structures in the Gaza Strip and a total of 245,123 estimated damaged housing units. The governorates of North Gaza and Rafah have experienced the highest rise in damage compared to the 6 September 2024 analysis, with around 3,138 new structures damaged in North Gaza and around 3,054 in Rafah. Within North Gaza, Jabalya municipality had the highest number of newly damaged structures, totalling 1,339. This is a preliminary analysis and has not yet been validated in the field.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in Bojayá Municipality, Chocó Department & Vigía del Fuerte Municipality Municipality, Antioquia Department Colombia as of 17 November 2024

**UNOSAT code: FL20241112COL, GDACS ID: 1102988**  This map illustrates satellite-detected water extent in Riosucio Municipality, Chocó Department & Vuigía del Fuerte Municipality, Antioquia Department Colombia as observed from a TanDEM-X radar image acquired on the 17 November 2024. Within the analysed area of about 1,130km², a total of about 25 km² of lands appear to be affected with flood waters.  
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 based on radar images may underestimate the extent of standing water in built-up or densely vegetated areas due to the radar signal's backscattering properties.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live Web Map Tropical Cyclone for CHIDO-25 in Mozambique

**UNOSAT code: TC20241212MOZ, GDACS ID: 1001131**  This application provides flood impact assessments for related to the Tropical Cyclone for CHIDO-25 in Mozambique.  
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.  
The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents from 5 to 10 October 2024 over Chiang Mai and Lamphun Provinces

**UNOSAT code: FL20240912THA**  This map illustrates cumulative satellite-detected water extent from multiple satellites in Chiang Mai and Lamphun Provinces, Thailand, from 5 to 10 October 2024. Within the cloud-free analysed areas of about 4,000 km², about 245 km² of land appears to have been affected by flood waters, with around 70 km² of cropland inundated.  
  
Based on Worldpop spatial demographic data, about 228,000 people are 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)
Potential population exposure around Lewotobi Laki-Laki volcano

**UNOSAT code: VO20241105IDN, GDACS ID: 1000099**  This map illustrates the population potentially exposed following the Lewotobi Laki-Laki volcanic eruption. Based on Worldpop spatial demographic data, ~11,400; ~26,000 and 37,000 people live within a 5km; 7.5km and 10km radius zone from the volcano crater.  
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: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Camarines Sur Province as of 29 October 2024

**UNOSAT code: TC20241028PHL, GDACS ID: 1001115**  This map illustrates a satellite-detected surface waters in Camarines Sur Province, Bicol Region, Philippines acquired on 29 October 2024 at 17:58 local time (09:58 UTC). Within the boundary of Camarines Sur Province of about 5,300 km², a total of about 130 km² of land appears to be affected by flood waters, with around 230 km² of cropland inundated. The flood extent has receded by approximately 150 km² since the previous observation on 26 October 2024.  
Based on Worldpop spatial demographic data, about 93,000 people are 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: 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 extents in Camarines Sur Province as of 26 October 2024

**UNOSAT code: TC20241028PHL, GDACS ID: 1001115**  This map illustrates cumulative detected water using multiple satellites in Camarines Sur Province, Bicol Region, Philippines acquired on 26 October 2024. Within the boundary of Camarines Sur Province of about 5,300 km², a total of about 280 km² of land appears to be affected by flood waters, with around 230 km² of cropland inundated.  
Based on Worldpop spatial demographic data, about 224,000 people are 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: 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)
Eaux d'inondations détectées par satellite le 25 octobre 2024 dans les départements de Matam et Kanel, Sénégal

**UNOSAT code: FL20241022SEN**  Cette carte illustre l'étendue des eaux d'inondations détectées par satellite en utilisant une image optique Sentinel-2 acquise le 25 octobre 2024 dans les départements de Matam et Kanel, Région de Matam. Dans la zone analysée d'environ 2,700 km², un total d'environ 570 km² de terres semblent être inondées. Les eaux d'inondations semblent avoiur augmenté d'environ 70 km² depuis la dernière analyse du 20 octobre 2024. D'après les données démographique de Worldpop et les eaux d'inondations détectées par imagerie satellite, environ 50,000 personnes sont potentiellement exposées ou vivent à proximité de zones inondées.  
Prière de bien vouloir noter que ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live Web Map Tropical Cyclone for MAN-YI-24 in Philippines

**UNOSAT code: TC20241117PHL, GDACS ID: 1001124**  This application provides flood impact assessments for related to the Tropical Cyclone for MAN-YI-24 in Philippines.  
  
  
  
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.  
  
  
  
The designations employed and the presentation of material on this map do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live Web Map - Tropical Cyclone SARA-24, Nicaragua & Honduras

**UNOSAT code: TC20241115HND, GDACS ID: 1001127**  This application provides geospatial information regarding the floods in Colombia in November 2024  
  
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. The United Nations Satellite Centre. UNOSAT is not responsible for the misuse or misrepresentation of the map.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Landslide/mud flow Impact  in Laurel Town, Batangas  Province, Region IV-A  (Calabarzon), Philippines  as of 28 Oct. 2024

**UNOSAT code: TC20241028PHL, GDACS ID: 1001115**  This map illustrates satellite-detected landslides in Laurel Town, Batangas Province, Region IV-A (Calabarzon), Philippines, as observed from a Sentinel-2 image acquired on 28 October 2024 at 10:17 local time (02:17 UTC). Within the analysed area, about 2 km² of landslide scars /mud flow areas are observed. UNITAR-UNOSAT identified about 450 Potentially damaged structures (6 % from the total buildings in the analysed area) and about 5 km of affected roads.  
  
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)
Eaux d'inondations détectées par satellite le 20 octobre 2024 dans les départements de Matam et Kanel, Sénégal

**UNOSAT code: FL20241022SEN**  Cette carte illustre l'étendue des eaux d'inondations détectées par satellite en utilisant une image optique Sentinel-2 acquise le 20 octobre 2024 dans les départements de Matam et Kanel, Région de Matam. Dans la zone analysée d'environ 2,700 km², un total d'environ 500 km² de terres semblent être inondées. D'après les données démographique de Worldpop et les eaux d'inondations détectées par imagerie satellite, environ 45,000 personnes sont potentiellement exposées ou vivent à proximité de zones inondées.  
D'après les prévisions de débit du 24 octobre 2024 provenant de l'ECMWF à la station hydrométrique Senegal A Matam le long du fleuve Sénégal, le débit moyen actuel a tendance à diminuer au cours des 10 prochains jours.  
Prière de bien vouloir noter que ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Floodwater Depth  in Saint-Louis and Matam Regions, Senegal  as of 23 October 2024

**UNOSAT code: FL20241022SEN**  This map illustrates floodwater depth in in Saint-Louis and Matam Regions, Senegal observed from VIIRS flood depth data as of 23 October 2024.   
  
Important note: This map is prepared with a 30-m VIIRS satellite-derived Floodwater Depth product. It has been downscaled with software that uses VIIRS daily composite flood products at 375-m resolution as a basis. Products are under development and processed in near real-time at the Cooperative Institute for Meteorological Satellite Studies (CIMSS). This is a preliminary analysis intended to be used for guidance purposes and has yet to be validated with ground truth data. Please send field observations to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live Web Map - Inondations au Sénégal

**UNOSAT code: FL20241022SEN**  This application provides geospatial information regarding the floods in Senegal  
  
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. The United Nations Satellite Centre. UNOSAT is not responsible for the misuse or misrepresentation of the map.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents from 1 Aug. 2024 to 22 October 2024 over Chiang Rai Province

**UNOSAT code: FL20240912THA**  This map illustrates cumulative detected water using multiple satellites in Chiang Rai Province, Thailand from 1 August to 22 October 2024. Within the boundary of Chiang Rai Province of about 11,600 km², a total of about 875 km² of land appears to be affected by flood waters, with around 700 km² of cropland inundated.  
  
Based on Worldpop spatial demographic data, about 94,100 people are 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).  
This work is the result of collaboration between UNOSAT and GISTDA operating under the agreement of the UNOSAT Rapid Mapping Partners Initiative Programme

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Togo - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
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
Indonesia - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
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
Flooding in the Philippines on February 09, 2026

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of February 09, 2026, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

Tags: affected area, climate hazards, cyclones-hurricanes-typhoons, damage assessment, disaster risk reduction-drr, flooding, geodata, natural disasters
Organization: The Philippine Space Agency
Egypt - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
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 extent between 01 August 2019 and 04 October 2021 along Lake Albert in D.R. of the Congo

**UNOSAT code: FL20211008COD**  This map illustrates satellite-detected surface waters in Ituri Province as observed from a Sentinel-2 image acquired on 04 October 2021. Within 5 km around Lake Albert, about 40 km2 of lands appear to be flooded. The water extent appears to have increased since August 2019 and based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the Zone de Santé of Nyarambe with ~5,200 people, Gethy with ~ 3,300 people and Tchomia with ~1,550 people.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT)

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Albay and Camarines Sur Provinces, Bicol Region of Philippines as of 6 November 2020

**UNOSAT code: TC20201101PHL**  This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 6 November 2020 at 05:38 local time. Within the analyzed area of about 5,000 km2, a total of about 120 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 1 November 2020. Based on Worldpop population data and the detected surface waters, about 80,000 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)
Japan Buildings (OpenStreetMap Export)

OpenStreetMap contains roughly 26.2 million buildings in this region. Based on AI-mapped estimates, this is approximately 49% of the total buildings.The average age of data for this region is 3 years ( Last edited 4 months ago ) and 7% buildings were added or updated in the last 6 months.
Read about what this summary means : [indicators](https://github.com/hotosm/raw-data-api/tree/develop/docs/src/stats/indicators.md) , [metrics](https://github.com/hotosm/raw-data-api/tree/develop/docs/src/stats/metrics.md)


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

tags['building'] IS NOT NULL

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [name:en](http://wiki.openstreetmap.org/wiki/Key:name:en)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)
- [building:levels](http://wiki.openstreetmap.org/wiki/Key:building:levels)
- [building:materials](http://wiki.openstreetmap.org/wiki/Key:building:materials)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:housenumber](http://wiki.openstreetmap.org/wiki/Key:addr:housenumber)
- [addr:street](http://wiki.openstreetmap.org/wiki/Key:addr:street)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [office](http://wiki.openstreetmap.org/wiki/Key:office)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)
- [name:ja](http://wiki.openstreetmap.org/wiki/Key:name:ja)

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: facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Iran (Islamic Republic of) - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3, ADM4.  
  
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
HDX HAPI - Affected People: Humanitarian Needs

This dataset contains data obtained from the
[HDX Humanitarian API](https://hapi.humdata.org/) (HDX HAPI),
which provides standardized humanitarian indicators designed
for seamless interoperability from multiple sources.
The data facilitates automated workflows and visualizations
to support humanitarian decision making.
For more information, please see the HDX HAPI
[landing page](https://data.humdata.org/hapi)
and
[documentation](https://hdx-hapi.readthedocs.io/en/latest/).

Warnings typically indicate corrections have been made to
the data or show things to look out for. Rows with only warnings
are considered complete, and are made available via the API.
Errors usually mean that the data is incomplete or unusable.
Rows with any errors are not present in the API but are included
here for transparency.


Tags: humanitarian needs overview-hno, people in need-pin
Organization: HDX Humanitarian API Data