AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite detected water extents between 03 and 23 August 2022 over Pakistan

**UNOSAT code: FL20220808PAK**  This map illustrates cumulative satellite-detected water using VIIRS in Pakistan between 03 to 23 August 2022. Within the cloud free analyzed areas of about 780,000 km2, a total of about 55,000 km2 of lands appear to be affected with flood waters. Based on Worldpop population data and the maximum flood water coverage, ~19,368,000 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 in Northeastern part of Thailand as of 10 October 2021

**UNOSAT code: FL20210928THA**  This map illustrates satellite-detected surface waters in Northeastern part of Thailand as observed from a Sentinel-1 image acquired on 10 Oct 2021 at 06:00 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 60,000 km2 , about 660 km2 of lands appear to be flooded. The water extent appears to have decreased of about 100 km2 since 5 October 2021 and moved toward east part. 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 Mueang Khon Kaen  with ~  6,300, Kosum Phisai with ~ 6,000 people, and Phimai  with ~ 5,300 people. 
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). 
 
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal. 


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 9 and 13 October 2021 over South Sudan

**UNOSAT code: FL20211015SSD**  This map illustrates cumulative satellite-detected water using VIRRS in South Sudan between 09 to 13 October 2021 and 26 to 30 September 2021. Within the analyzed extent not covered by clouds, a total of about 37,000 km2 appear to be flooded. Based on Worldpop population data and the detected surface water, about 1,000,000 people are exposed or living close to flooded 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Nakhon Ratchasima province, Thailand as of 6 October 2021

**UNOSAT code: FL20210928THA**  This map illustrates satellite-detected surface waters in Nakhon Ratchasima province, Thailand as observed from a Kompsat-5 image acquired on 6 Oct 2021 at 18:24 local time.  Within the analyzed area of about 1,000 km2 , about 9 km2 of lands appear to be flooded. The water extent appears to have decreased and 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 Non Sung with ~ 1,100 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)
Satellite detected waters in Albay and Camarines Sur Provinces, Bicol Region of Philippines as of 13 November 2020

**UNOSAT code: TC20201111PHL**  This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 13 November 2020 at 17:57 local time. Within the analyzed area of about 2,500 km2, a total of about 210 km2 of lands appear to be flooded. The water extent appears to have receded of about 20 km2 since 12 November 2020. Based on Worldpop population data and the detected surface waters, about 140,000 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)
Satellite detected water extent in Tillabéri Region, Niger as of 19 August 2022

**UNOSAT code: FL20220728NER**  This map illustrates satellite-detected surface waters in Tillabéri Region, Niger as observed from a Sentinel-2 image acquired on 19 August 2022 at 11:37 local time. Within the analyzed area of about 26,000 km2, about 377 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 33,500 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Punjab Province, Pakistan as of 27 & 28 August 2025

**UNOSAT code: FL20250818PAK, GDACS ID: 1103435**  This map illustrates the satellite detected water extent in Punjab Province, Pakistan as observed from a Sentinel-1 satellite image acquired on 27-28 August 2025. Within the analyzed area of approximately 88,300 km², about 3,660 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 2.5 million people are potentially exposed or living close to the 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in north Viet Nam  as of 26 August 2025

**UNOSAT code: TC20250826VNM**  This map illustrates the satellite detected water extent in Northern part of Viet Nam as observed from Sentinel-1 satellite images acquired on 26 August 2025 at 05:51 local time (22:51 UTC). Within the analyzed area of approximately 74,000 km², about 1,200 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 708,000 people are potentially exposed or living close to the 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 from 26 August to 7 September 2025 over Pakistan

**UNOSAT code: FL20250818PAK**  This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 26 August 2025 to 7 September 2025. Within the cloud-free analysed areas of about 870,000 km², approximately 39,200 km² of land appears to be affected by flood waters including about 21,000 km² of cropland. Based on WorldPop population data and the maximum flood water extent, about 16.5 million 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)
Sea Surge risk & flood impact assessment in the Coastal Area of Southern Gaza Strip (Occupied Palestinian Territory) as of 29 August 2025

**UNOSAT code: FL20250828PSE**  This map illustrates the current shoreline and the highest observed watermark in the Southern Gaza Strip (Occupied Palestinian Territory), derived from Sentinel-2 and Pleiades imagery acquired on 28 July 2025 and 29 August 2025, respectively. The analysis focuses on the area west of Al Rashid Road, where a very high density of tents has been observed within a small geographic area that is particularly prone to flooding in the event of high tides or storm surges. UNITAR-UNOSAT has identified 2,367 shelters/tents in high-risk areas (within 20 meters of the highest observed watermark) and 3,631 shelters/tents in risk areas (within 50 meters of the highest observed watermark).  
  
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-opt-israel-hostilities, flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Sea Surge risk & flood impact assessment in the Coastal Area of Gaza city (Occupied Palestinian Territory) as of 29 August 2025

**UNOSAT code: FL20250828PSE**  This map illustrates the current shoreline and the highest observed watermark in the Gaza Strip (Occupied Palestinian Territory), derived from Sentinel-2 and Pleiades imagery acquired on 28 July 2025 and 29 August 2025, respectively. The analysis focuses on the area west of Al Rashid Road, where a very high density of tents has been observed within a small geographic area that is particularly prone to flooding in the event of high tides or storm surges. UNITAR- UNOSAT has identified 350 internally displaced persons (IDPs) in high-risk areas (within 20 meters of the highest observed watermark) and 1,252 IDPs in risk areas (within 50 meters of the  
highest observed watermark).   
  
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)
Deteção de danos no património cultural através da análise de imagem de satélite de 16 de Agosto de 2025

**UNOSAT code: FL20250812CPV**  Este mapa mostra possíveis danos no património cultural, detetados a 1,3 km a oeste do parque, com base numa imagem de satélite de alta resolução obtida em 16 de Agosto de 2025, quando comparada com uma imagem de satélite de alta resolução de 9 de fevereiro de 2025.  
  
Mais especificamente, foram detetados possíveis danos numa secção de campos agrícolas tradicionais em socalcos (Figura 1). Esta forma tradicional de agricultura é referida no Critério (v) como uma das justificações para o Valor Universal Excecional da área e a sua inclusão na Lista Provisória da UNESCO.  
  
Também foram detetados fluxos de água e lama tanto dentro como em torno do parque.  
  
Esta é uma análise preliminar e ainda não foi validada no terreno. Qualquer informação, por favor, envie para o Centro de Satélites das Nações Unidas (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected damage to cultural heritage in the area of Cova, Ribeira Paúl and Torre Natural Park, Santo Antão, Cabo Verde, as of 16 August 2025

**UNOSAT code: FL20250812CPV**  This map shows possible damage to cultural heritage was detected 1.3 km west of the park based on a very high resolution satellite image collected 16 August 2025 when compared to very high resolution satellite imagery from 9 February 2025.   
  
Specifically, possible damage was detected to a section of traditional, terraced agricultural fields (inset 1). This traditional form of agriculture is named under Criterion (v) as one of the justifications for the area's Outstanding Universal Value and its inclusion on the UNESCO Tentative List.  
  
Additionally, water and mud flows were detected both within and around the park.  
  
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)
Flood impact assessment in Sao Vicente and Santo Antao Islands, Cabo Verde (13 to 16 August 2025)

**UNOSAT code: FL20250812CPV**  This map illustrates satellite-detected mudflow extent in Sao Vicente and Santo Islands, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 to 16 August 2025. Within the analyzed area, approximately, about 16 km² of land appears to be affected by flood. Based on WorldPop population data and the flood extent, approximately 13,600 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 4,660 damaged buildings, five damaged bridges, and approximately 85 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood impact assessment in Santo Antao Island, Cabo Verde (13 to 16 August 2025)

**UNOSAT code: FL20250812CPV**  This map illustrates satellite-detected mudflow extent in Santo Antao Island, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 to 16 August 2025. Within the analyzed area of approximately 700 km²,  about 3 km² of land appears to be affected by flood. Additionally, UNOSAT identified around 460 damaged buildings, two damaged bridges, and approximately 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Jalalabad City, Nangarhar Province as of 2 September 2025

**UNOSAT code: EQ20250901AFG, GDACS ID: 1498339**  This map illustrates the potentially damaged structures/buildings affected by the August 31, 2025, earthquake in Afghanistan. The analysis focuses on  Jalalabad City and surrounding area, Nangarhar Province, where damage was detected using a Pleiades very high-resolution satellite image acquired on September 2, 2025. UNOSAT identified 12 damaged building and 69 potentially damaged buildings.  
   
This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Charsadda, Nowshera and Peshawar Districts, Khyber Pakhtunkhwa Province, Pakistan as of 20 August 2025

**UNOSAT code: FL20250818PAK**  This map illustrates the satellite detected water extent in Charsadda, Nowshera and Peshawar Districts, Khyber Pakhtunkhwa Province, Pakistan as observed from a Sentinel-2 satellite image acquired on 20 August 2025 at 13:35 local time (08:35 UTC). Within the analyzed area of approximately 1,800 km², about 35 km² of land appears to be affected by floodwaters. The floodwater extent appears to have receded by approximately 20 km² since 16 August 2025. Based on WorldPop population data and the flood extent, approximately 41,000 people are potentially exposed or living close to the 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)
Flood impact assessment  in Sao Vicente Island, Cabo Verde (13 to 16 August 2025)

**UNOSAT code: FL20250812CPV**  This map illustrates satellite-detected mudflow extent in Sao Vicente Island, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 to 16 August 2025. Within the analyzed area of approximately 270 km²,  about 12 km² of land appears to be affected by flood. Based on WorldPop population data and the flood extent, approximately 12,600 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 4,000 damaged buildings, five damaged bridges, and approximately 80 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live web map - Home Layers Share UN-ASIGN Flash flood in Cabo Verde

**UNOSAT code: FL20250812CPV**  This application provides flood impact assessments in Cabo Verde, Islands of Sao Vicente and Santo Antao  
  
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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Preliminary Satellite-derived Flood Impact Assessment, North Santo Antao Island, Cabo Verde

**UNOSAT code: FL20250812CPV**  Status: No major damage was observed   
Further action(s): Continue monitoring  
  
Summary of findings:  
No major damage was observed in Ponta do Sol Town, Cruzinha Village, and Ribeira da Cruz Village in northern Santo Antão Island as of 16 August 2025.  
  
Possible flood evidence was observed along the waterways in Ribeira Grande Town and Coculi Town in northern Santo Antão Island as of 16 August 2025.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood impact assessment in East Sao Vicente Municipality, Cabo Verde as of 14 August 2025

**UNOSAT code: FL20250812CPV**  This map illustrates satellite-detected mudflow extent in East Sao Vicente Municipality, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 14 August 2025 at 11:43 local time (12:43 UTC). Within the analyzed area of approximately 35 km², about 3 km² of land appears to be affected by flood.  UNOSAT identified around 1,000 affected/potentially affected buildings and approximately 15 km of affected roads.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood impact assessment in Porto Novo Town, Porto Novo Municipality, Cabo Verde as of 13 August 2025

**UNOSAT code: FL20250812CPV**  This map illustrates satellite-detected mudflow extent in Porto Novo Town, Porto Novo Municipality, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 August 2025 at 11:01 local time (12:01 UTC). Within the analyzed area of approximately 2 km², about 0.3 km² of land appears to be affected by flood.  UNOSAT identified around 300 damaged buildings and approximately 1 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Gaza Strip Road Network Comprehensive Damage Assessment - July 2025

**UNOSAT code: CE20231007PSE**  This map illustrates a satellite-imagery based comprehensive damage assessment to detect damage and affected roads across the Gaza Strip, Occupied Palestinian Territory, based on an image collected on the 08 July 2025.  
  
According to satellite imagery analysis, UNOSAT identified approximately 1511km of destroyed roads, 484km of severely affected roads and 1484km of moderately affected main roads. From these statistics it has been calculated that approximately 77% of the total road network has been damaged (including destroyed, affected roads and roads restricted by obstacles), across the Gaza Strip.  
  
This is a preliminary analysis and has not yet been validated in the field.

Tags: complex emergency-conflict-security, crisis-opt-israel-hostilities, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Live web map -M 6.0 Afghanistan Earthquake (31 August 2025)

**UNOSAT code: EQ20250901AFG, GDACS ID: 1498339**  This application provides geospatial information on ongoing satellite based-assessment related with the 6.0 M magnitude earthquake in Afghanistan on the 31 August 2025  
  
Important note: The boundaries and names shown, and the designations used on this map do not imply official end

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
GRID3 NGA - Settlement Extents v4.0

The GRID3 NGA - Settlement Extents v4.0 dataset consists of a geographic representation of settlements in Nigeria. Settlement extents are further delineated into settlement blocks nested within urban and small settlement areas, generated from integrated road, railway, river, settlement extent, building footprint, and remote-sensing inputs. Each block is enriched with morphological, environmental and building metrics.

This version supersedes GRID3 NGA - Settlement Extents v3.1.  The following changes were made:
- Creation of blocks in urban and semi-urban areas; and
- Removal of falsely detected settlements identified during fieldwork

Dataset citation: 

Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 NGA - Settlement Extents v4.0. New York: GRID3. (URL here) . Accessed (DAY MONTH YEAR).

Contacts and data queries:

The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu

Tags: geodata, populated places-settlements
Organization: GRID3
Niger: JIAF Humanitarian Needs People in Need and Severity

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, people in need-pin, severity
Organization: OCHA Niger
Satellite-detected water extents in Mananjary District, Vatovavy Fitovinany Region, Madagascar as of 27 February 2022

**UNOSAT code: TC20220221MDG**  This map illustrates satellite-detected surface waters in Mananjary district, Vatovavy Fitovinany region, Madagascar 
as observed from a Sentinel-1 image acquired on 27 February 2022 at 05:12  local time. Within the analyzed area of about 200 km2, about 6 km2 of lands appear to be flooded. 
Based on Worldpop population data and the detected surface waters, about 200 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)