AndreaBozzo/ceres-open-data-index huggingface dataset:
Flood Impact Assessment in North Taungoo, Bago State, Myanmar as of 02 October 2024

**UNOSAT code: FL20240912MMR**  This map illustrates satellite detected floods using WorldView-3 images acquired on 02 October 2024. Within the analysed area of about 23 km², a total of about 21 km² of land appears to be affected by flood waters with about 18 km² of cropland inundated. UNITAR-UNOSAT identified approximately 2,240 affected buildings, representing 94% of the buildings as well as 35 km of affected roads, covering 88% of the roads in the analysed 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 extent 12 Jan. 2024 and 18 Sep. 2024 along Lake Albert in D.R. of the Congo

**UNOSAT code: FL20240919COD**  This map illustrates satellite-detected surface waters in Ituri Province as observed from a Sentinel-2 image acquired on 18 Sep. 2024. Within the analysed area, about 15km² of lands appear to be affected with water increase. Based on Worldpop population data and the detected surface waters, about 2,300 people are potentially exposed to the water increase.  
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 02 and 06 October 2024 over Chad

**UNOSAT code: FL20240820TCD**  This map illustrates cumulative satellite-detected water using VIIRS in Chad between 02 to 06 October 2024. Within the cloud free analysed areas of about 1,240,000 km², a total of about 32,000 km² of lands appear to be affected with flood waters. Maximum flood water extent appears to have increased of about 9,000 km² since the period  between 31 August to 04 September 2024. Based on Worldpop population data and the maximum flood water extent, about 1,370,000 people are potentially exposed or living close to flooded areas. Amongst which ~320,000 people in Mayo-Kebbi Est Region and ~180,000 people in Logone Oriental Region.  
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 extent in Bagmati, Gandaki, Lumbini and Madhesh Provinces, Nepal as of 01 & 06 October 2024

**UNOSAT code: FL20240928NPL**  This map illustrates the floods using Sentinel-2 images acquired on 01 & 06 October 2024 at 10:42 local time (04:57 UTC).   
Within the analysed area of about 18,000 km², a total of about 300 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 115,000 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)
Satellite detected water extent Koshi and Madhesh Provinces, Nepal as of 01 October 2024

**UNOSAT code: FL20240928NPL**  This map illustrates the floods using Sentinel-1 images acquired on 01 October 2024 at 17:59 local time (12:14 UTC). Within the analysed area of about 6,000 km², a total of about 55 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 18,000 people are exposed or living close to flooded areas. Water extent seems to have increased by about 14 km² since 27 September 2024  
  
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 Mandalay,  Kayah, Shan (South), Nay  Pyi Taw, Bago (Est), Mon  and Kayin States,  Myanmar as of 03 & 23  September 2024

**UNOSAT code: FL20240912MMR**  This map illustrates aggregated satellite detected floods using Sentinel-1 images acquired on 03 to 20 September 2024 using an automated analysis with a machine learning method. Within the analysed area of about 80,000 km², a total of about 5,100 km² of land appears to be affected by flood waters and about 4,500 km² of cropland appears to be inundated. Based on Worldpop spatial demographic data, about 760,000 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood Impact assessment of the Capital city of Kathmandu, Bagmati Province, Nepal as of 30 September 2024

**UNOSAT code: FL20240928NPL**  This map illustrates the floods using the Spot-6 image acquired on 30 September 2024 at 14:20 local time (08:35 UTC). Within the analysed area of about 450 km², a total of about 8 km² of land appears to be affected by flood waters. and about 4 km² of cropland seems to be inundated. Based on Worldpop spatial demographic data, about 46,000 people are exposed or living close to flooded areas.  
  
UNITAR-UNOSAT identified about 5,000 potentially affected structures within the analysed 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 from 10 to 24 September 2024 over Pakistan

**UNOSAT code: FL20240804PAK**  This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 10 to 24 September 2024 compared with the period from 02 to 10 September 2024. Within the cloud free analysed areas of about 800,000 km², a total of about 33,000 km² of lands appear to be affected with flood waters. Water extent appears to have receded of about 4,500 km² since the period between 02 to 10 September 2024. Based on Worldpop population data and the maximum flood water extent ~9.7 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)
UNOSAT Gaza Strip Comprehensive Damage Assessment - September 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 3 and 6 September 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, and 6 July 2024. According to satellite imagery analysis, UNOSAT identified 52,564 destroyed structures, 18,913 severely damaged structures, 56,710 moderately damaged structures, and 35,591 possibly damaged structures for a total of 163,778 structures. These correspond to around 66% of the total structures in the Gaza Strip and a total of 227,591 estimated damaged housing units. The governorates of Khan Yunis and Rafah have experienced the highest rise in damage compared to the 6 July 2024 analysis, with around 1,470 new structures damaged in Khan Yunis and around 3,770 in Rafah. Within Rafah, Rafah City municipality had the highest number of newly damaged structures, totalling 3,289. 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)
UNOSAT FAO Gaza Strip Cropland Damage Analysis - September 2024

**UNOSAT code: CE20231007PSE**  This map illustrates a satellite imagerybased 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 4 April 2025 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, 3-6 September 2024, 1 December 2024, and 25 February 2025. According to satellite imagery analysis, UNOSAT identified 70,436 destroyed structures, 18,588 severely damaged structures, 51,962 moderately damaged structures, and 33,500 possibly damaged structures for a total of 174,468 structures. These correspond to around 70% of the total structures in the Gaza Strip and a total of 258,201 estimated damaged housing units. The governorates of Rafah and North Gaza have experienced the highest rise in damage compared to the 25 February 2025 analysis, with around 636 new structures damaged in Rafah and around 218 in North Gaza. Within Rafah, Rafah City municipality had the highest number of newly damaged structures, totalling 609. 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 Gandaki, Lumbini, Bagmati and Madhesh Provinces as of 29 September 2024

**UNOSAT code: FL20240928NPL**  This map illustrates the floods using Sentinel-1 images acquired on 29 September 2024 at 18:15 local time (12:30 UTC). Within the analysed area of about 20,000 km², a total of about 110 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 58,000 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent Koshi and Madhesh Provinces, Nepal as of 27 September 2024

**UNOSAT code: FL20240928NPL**  This map illustrates the floods using Sentinel-1 images acquired on 27 September 2024 at 05:56 local time (00:11 UTC). Within the analysed area of about 7,000 km², a total of about 50 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 19,000 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in El Geneina Deparment, West Darfur State, Sudan as of 25 September 2024

**UNOSAT code: FL20240924SDN**  This map illustrates satellite-detected water extent in El Geneina Department, West Darfur State, Sudan as observed from a Pléiades image acquired on 25 September 2024 at 11:46 local time. Within the cloud free analysed area of about 20,000ha, a total of about 8050ha 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Red River Delta, Viet Nam as of 25 September 2024

**UNOSAT code: TC20240905VNM, GDACS ID: 1001090**  Satellite detected water extents in Red River Delta, Viet Nam as of 25 September 2024  
This map illustrates the floods using Sentinel-1 images acquired on 25 September 2024 at 05:58 local time. Within the analysed area of about 38,000 km², a total of about 600 km² of land appears to be affected by flood waters. Flood extent appears to have decreased by about 700 km² since 13 September 2024.  
Based on Worldpop spatial demographic data, about 400,000 people are exposed or living close to flooded areas as of 25 September 2024.  
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 extent in Dikwa Town, Dikwa Local Government Area, Borno state, Nigeria as of 9 and 19 September 2024

**UNOSAT code: FL20240902NGA**  This map illustrates the satellite-detected accumulated flood extent in Dikwa Town, Dikwa Local Government Area, Borno State, Nigeria. as observed from Sentinel-2 images acquired on 9 and 19 September 2024. Within analysed areas of about 200 km², a total of about 30 km² of lands appear to be affected with flood waters. UNITAR-UNOSAT identified about 1,060  potentially affected structures, along with a potentially affected road extending about 26 km within the analysed 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 between 18 and 22 September 2024 over Far-North Region, Cameroon

**UNOSAT code: FL20240821CMR**  This map illustrates cumulative satellite-detected water extent in Farth-North Region, Cameroon between 18 to 22 September 2024. Within the cloud free analysed areas of about 34,000 km², a total of about 6,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,800 km² since the period between 16 to 20 August 2024. Based on Worldpop population data and the maximum flood water extent, ~415,000 people in Far-North Region are potentially exposed or living close to flooded areas, amongst which ~270,000 people in Logone-et-Chari Department and ~125,000 people in Mayo-Danay Department.  
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 Vientiane Capital, Lao PDR as of 18 September 2024

**UNOSAT code: FL20240913LAO**  This map illustrates the floods using Sentinel-1 images acquired on 18 September 2024 at 06:00 local time. Within the analyzed area of approximately 7,000 km², around 230 km² of land appears to be affected by floodwaters. The extent of the flooding has increased by approximately 50 km² since the previous observation on 13 September 2024.  
Based on WorldPop spatial demographic data, an estimated 26,000 people are currently exposed or residing near 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 Bolikhamzai Province, Lao PDR as of 18 September 2024

**UNOSAT code: FL20240913LAO**  This map illustrates the floods detected using Sentinel-1 images acquired on 18 September 2024 at 06:00 local time in Bolikhamzai Province. Within the analysed area of approximately 16,000 km², about 270 km² of land appears to be affected by floodwaters. The extent of the flooding has increased by approximately 230 km² since the previous observation on 6 September 2024.  
Based on WorldPop spatial demographic data, an estimated 15,500 people are currently exposed to or residing near the flooded areas.  
Please note that this is a preliminary analysis and has not been validated in the field. We welcome any ground feedback that can be provided to the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Cook Islands - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Satellite detected water extents in Doi Tao District, Chiang Mai Province as of  6 October 2024

**UNOSAT code: FL20240912THA**  This map illustrates satellite-detected water in Doi Tao District, Chiang Mai Province, Thailand, acquired on 6 October 2024 at 13:16 LT. Within the analysed area of approximately 800 km², about 54 km² of land appears to be affected by floodwaters, with around 30 km² of cropland inundated.  
  
Based on WorldPop spatial demographic data, approximately 140 people are exposed to or living near 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 central part  of Myanmar as of 15  September 2024

**UNOSAT code: FL20240912MMR**  This map illustrates the floods using Gaofen-3 images acquired on 15 September 2024 at 11:45 UTC (local time). Within the analysed area of about 52,000 km², a total of about 2,000 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 312,000 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 13 and 17 September 2024 over South Sudan

**UNOSAT code: FL20240425SSD**  Satellite detected water extents between 13 and 17 September 2024 over South Sudan  
This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 13 to 17 September 2024 compared with the period from 18 to 22 August 2024 . Within the cloud free analysed areas of about 560,000 km², a total of about 41,400 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 23,300 km² since the period between 18 to 22 August 2024 . Based on Worldpop population data and the maximal flood water extent ~305,000 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 Louangnamtha Province, Lao PDR as of 11 September 2024

**UNOSAT code: FL20240913LAO**  This map illustrates the floods detected using Sentinel-1 images acquired on 11 September 2024 at 06:07 local time. Within the analysed area of approximately 60 km², about 7 km² of land appears to be affected by floodwaters, including 6 km² of croplands.  
According to WorldPop spatial demographic data, an estimated 2,500 people are exposed to or living near the flooded areas.  
Please note that this is a preliminary analysis and has not been validated in the field. We welcome any ground feedback that can be provided to the United Nations Satellite Centre (UNOSAT).  
Important: 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)
Satellite detected water extents in Vientiane Capital, Lao PDR as of 13 September 2024

**UNOSAT code: FL20240913LAO**  This map illustrates the floods using Sentinel-1 images acquired on 13 September 2024 at 18:12 local time. Within the analysed area of about 7,000 km², a total of about 180 km² of land appears to be affected by flood waters.  
  
Based on Worldpop spatial demographic data, about 31,000 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent along the Komadugu Gana River, Bursari & Tarmua Local Government Area, Nigeria as of 15 September 2024

**UNOSAT code: FL20240902NGA, GDACS ID: 1102720**  This map illustrates satellite-detected water extent along the Komadugu Gana River in Bursari & Tarmua Local Governments in Yobe State, Nigeria as observed from a Pleiades image acquired on 15 September 2024 at 10:38 local time. Within the cloud free analysed areas of about 120 km², a total of about 40 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).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents from 02 to 10 September 2024 over Pakistan

**UNOSAT code: FL20240804PAK**  This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 02 to 10 September 2024 compared with the period from 26 August to 02 September 2024. Within the cloud free analysed areas of about 800,000 km², a total of about 38,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,000 km² since the period between 26 August to 02 September 2024. Based on Worldpop population data and the maximum flood water extent ~12 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)