AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite detected water extents in Sindh, Balochistan and Punjab Provinces, Pakistan as of 31 July 2025

**UNOSAT code: FL20250630PAK**  This map illustrates the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Mudflow impact in Kham District, Xiengkhouang Province, Lao PDR  as of 2 August 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  This map illustrates satellite-detected mudflow extent in Kham District, Xiengkhouang Province, Lao PDR as observed from Pleiades very high-resolution satellite image acquired on 2 August 2025 at 10:31 local time (03:31 UTC). Within the analyzed area of approximately 160 km², about 8 km² of land appears to be affected by landslides/mudflow. Based on WorldPop population data and the flood extent, approximately 2,300 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 970 damaged buildings, four damaged bridges, and approximately 10 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)
Flood impact assessment in Mindelo City, Sao Vicente Municipality, Cabo Verde  as of 13 August 2025

**UNOSAT code: FL20250812CPV**  This map illustrates satellite-detected mudflow extent in Mindelo City, Sao Vicente 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 30 km², about 5 km² of land appears to be affected by flood. Based on WorldPop population data and the flood extent, approximately 6,600 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 2,500 damaged buildings, five damaged bridges, and approximately 44 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)
Satellite detected water extents in Adamawa, Borno, Gombe, Taraba  and Yobe States, Nigeria as of 29 July 2025

**UNOSAT code: FL20250928NGA, GDACS ID: 1103409**  This map illustrates the satellite-detected water extent in Adamawa, Borno, Gombe, Taraba and Yobe States, Nigeria, as observed from Sentinel-2 satellite images acquired on 29 July 2025 at 14:28 local time (13:28 UTC). Within the analyzed area of approximately 47,000 km², about 700 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 19,000  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)
Satellite detected water extents in Bolikhamxai  and Khammouan Provinces, Lao PDR as of 28 July 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  This map illustrates the satellite detected water extent in Bolikhamxai and Khammouan Provinces, Lao PDR as observed from Sentinel-1 satellite images acquired on 28 July 2025 at 05:50local time (22:50 UTC). Within the analyzed area of approximately 14,000 km², about 200 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 14,000 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 in Vientiane Capital, Vientiane and Bolikhamxai Provinces, Lao PDR  as of 27 July 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  This map illustrates the satellite detected water extent in Vientiane Capital, Vientiane and Bolikhamxai Provinces, Lao PDR  as observed from Sentinel-1 satellite images acquired on 27 July 2025 at 06:00 local time (23:00 UTC). Within the analyzed area of approximately 19,000 km², about 130 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 12,000 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)
Preliminary Satellite-derived Flood Impact Assessment, Muang Sam Tai, Xamtay District, Houaphan Province, LAO PDR, 29 July 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  Status: Landslide and Increased water of Nam Xam River and areas of washaway along the riverbank  
Further action(s): continue monitoring  
  
Summary of findings:  
Increased water in the Nam Xam River and areas of washaway along the riverbank were observed in Muang Sam Tai, Xamtay District, Houaphan Province as of 28 July 2025.  
Structures/buildings damaged by landslides were observed in Muang Sam Tai, Xamtay District, Houaphan Province, as of 28 July 2025.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected Flood Extent in Punjab Province, Pakistan – 10 July 2025

**UNOSAT code: FL20250630PAK**  This map illustrates the extent of floodwaters detected in Punjab Province using Sentinel-1 imagery acquired on 10 July 2025 at 18:04 local time (13:04 UTC). Within the analyzed area of approximately 50,000 km², around 4,200 km² of land appears to be inundated. Based on WorldPop population data and the observed flood extent, an estimated 3.3 million people are potentially exposed or living in close proximity to the affected areas.  
This is a preliminary analysis and has not been validated on the ground. We kindly encourage you to share any field observations or feedback with the United Nations Satellite Centre (UNOSAT).  
Important Note: Flood analysis derived from radar imagery may underestimate standing water in urban or densely vegetated areas due to the radar signal's backscattering characteristics.  
Should you have any questions or require further support, please do not hesitate to contact us. We remain at your disposal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Thoulakhom District, Vientiane Province and Xaythany District, Vientiane Capital, Lao PDR as of 23 July 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  This map illustrates the satellite detected water extent Thoulakhom District, Vientiane Province and Xaythany District, Vientiane Capital, Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately 1,200 km², about 40 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 6,800 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 in Bolikhanh and Pakxane Districts, Bolikhamxai Province, Lao PDR as of 23 July 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  This map illustrates the satellite detected water extent in Bolikhanh and Pakxane Districts, Bolikhamxai Province, Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately  
1,400 km², about 14 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 4,600 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 in Pek and Phaxay Districts, Xiengkhouang Province, Lao PDR as of 23 July 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  This map illustrates the satellite detected water extent in Pek and Phaxay Districts, Xiengkhouang Province, Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately 700 km², about 15 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 800 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)
Burkina Faso:  Humanitarian Needs

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

Tags: humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Afghanistan: Humanitarian Needs

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

Tags: gender and age disaggregated data-gadd, humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Satellite detected water extents in Pakkading District, Bolikhamxai Province Lao PDR as of 23 July 2025

**UNOSAT code: TC20250722LAO, GDACS ID: 1001181**  This map illustrates the satellite detected water extent in akkading District, Bolikhamxai  
Province Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately 600 km², about 20 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent,  
approximately 1,800 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 in Sindh, Balochistan and Punjab Provinces, Pakistan as of 1 July 2025

**UNOSAT code: FL20250630PAK**  This map illustrates the satellite detected water extent in Sindh, Balochistan and Punjab Provinces, Pakistan as observed from Sentinel-2 satellite images acquired on 1 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 84,000 km², about 2,100 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 600,000 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)
Satellite detected water extents in Swat, Lower Dir  and Malakand Districts, Khyber Pakhtunkhwa Province, Pakistan  as of 1 July 2025

**UNOSAT code: FL20250630PAK**  This map illustrates the satellite detected water extent in Swat, Lower Dir and Malakand Districts, Pakistan as observed from a Sentinel-2 satellite image acquired on 1 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 900 km², about 40 km² of land appears to be affected by floodwaters. Based on WorldPop population  
data and the flood extent, approximately 105,000 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)
M7.7 28 March 2025 Sagaing Earthquake, Satellite-Based Comprehensive Damage Assessment Report

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477**  This report provides a comprehensive damage assessment based on satellite analysis and mapping efforts carried out by UNOSAT and other agencies such as Copernicus-EMS and SERTIT to support emergency operations following the M7.7 Sagaing earthquake of 28 March 2025.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Wildfires in Qastal Maaf, Rabee'a and Kasab  Sub-district, Latakia Governorate, Syria  as of 8 July 2025

**UNOSAT code: FR20250707SYR, GDACS ID: 1024188**  This map illustrates satellite-detected burned areas in Qastal Maaf, Rabee'a, and Kasab Sub-districts, Latakia Governorate, Syria, based on Pleiades imagery acquired on 8 July 2025 at 11:48 local time. Within the analyzed area of approximately 700 km², around 100 km² of land appears to be potentially burned. Based on WorldPop population data and the extent of the burned areas, an estimated 5,500 people are potentially exposed or living in close proximity to the affected zones. In addition, approximately 2,400 buildings were potentially exposed to fires.  
  
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)
Wildfires in Qastal Maaf Sub-district, Latakia Governorate, Syria as of 4 July 2025

**UNOSAT code: FR20250707SYR, GDACS ID: 1024188**  This map illustrates satellite-detected burned areas in Qastal Maaf Subdistrict, Latakia Governorate, Syria based on Planet Scope image acquired on 4 July 2025 at 11:43 local time. Within the analyzed area of about 30 km², about 4 km² of lands appear to be potentially burned. Based on WorldPop population data and the extent of burned areas (within 1 km), approximately 900 people are potentially exposed or living in close to burned areas.  In addition, about 500 buildings are located within 1 km of the burned zones, which may also be at risk or affected.  
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)
Mozambique: 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, hxl, people in need-pin, severity
Organization: OCHA Mozambique
Flood impact analysis in Mokwa Town, Niger Local Government Area, Niger State, Nigeria as of 2 June 2025

**UNOSAT code: FL20250601NGA, GDACS ID: 1103303**  This map illustrates the satellite-detected water extent in Mokwa Town, Niger Local Government Area, Niger State, Nigeria as observed from a GeoEye-1 imagery acquired on 2 June 2025 at 11:24 local time. Within the analysed area of approximately 100 km², an estimated 1.5 km² of land appears to be affected by floodwaters. UNOSAT has identified within this area 470 damaged structures and 199 potentially affected structures. 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 Mokwa Town, Niger Local Government Area, Niger State, Nigeria as of 2 June 2025

**UNOSAT code: FL20250601NGA, GDACS ID: 1103303**  This map illustrates the satellite-detected water extent in Mokwa Town, Niger Local Government Area, Niger State, Nigeria as observed from a GeoEye-1 imagery acquired on 2 June 2025 at 11:24 local time. Within the analysed area of approximately 100 km², an estimated 1.5 km² of land appears to be affected by floodwaters. UNOSAT has identified within this area 470 damaged structures and 199 potentially affected structures. 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 15 and 19 March 2025 over South Sudan

**UNOSAT code: FL20250110SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 15 to 19 March 2025 compared with the period from 01 to 05 March 2025 . Within the cloud free analysed areas of about 630,000 km², a total of about 22,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,600 km² since the period between 01 to 05 March 2025 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~375,000 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)
Central African Republic: Humanitarian Needs

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

Tags: humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
UNOSAT Live Web Map - M 7.7 Sagaing Earthquake in Myanmar & Thailand

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477**  This application provides geospatial information on ongoing satellite based-assessment related with the 7.7M magnitude Saigaing earthquake in Myanmar & Thailand on the 28 March 2025.  
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)
Damage Assessment in Monywa Township, Monywa District, Sagaing Region, Myanmar as of 25 April 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477**  This map illustrates the potentially damaged structures/buildings affected by the March 28, 2025, earthquake in Mandalay.   
The analysis focuses on a part of Monywa Township, Monywa District, Sagaing Region, where damage was detected using a WorldView-2 very high-resolution satellite image acquired on April 25, 2025.   
UNOSAT identified 27 damaged structures and 170 potentially damaged.   
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: crisis-myanmar-earthquake, earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected damage to cultural heritage in Min Kun as of 03 April 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477**  This map shows the locations where damage was detected based on a very high resolution satellite image collected 03 April 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intentsity of the earthquake measured 8.0 - 8.5 in this area.  
   
Across the site 11 damaged cultural heritage locations were observed and an additional 3 have possible damage.  
   
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)