This file contains shapefiles depicting the extent of 5-, 25-, and 100- year flood recurrence events. This data was created by the World Bank and should be credited as follows: Plan d’Élaboration propre basée sur les données de la Banque Mondiale: Inondation de Récurrence (5 ans / 25 ans / 100 ans)

This file contains flood hazard extent for Garissa, Kilifi and Tana River counties for the period 2018, 2019 and 2023. This data was obtained by merging flood extent from different sources among them UNOSAT. This data is in vector format.

UNOSAT code: FL20240804PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 17 to 20 August 2024 compared with the period from 13 to 17 August 2024. Within the cloud free analysed areas of about 700,000 km², a total of about 19,500 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 5,500 km² since the period between 13 to 17 August 2024. Based on Worldpop population data and the maximal flood water extent ~6.6 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).

UNOSAT code: FL20240820TCD This map illustrates cumulative satellite-detected water using VIIRS in Chad between 20 to 24 August 2024. Within the cloud free analysed areas of about 1,200,000 km², a total of about 18,900 km² of lands appear to be affected with flood waters. Maximum flood water extent has remained relatively stable, with a decrease of about 500 km² since the period between 15 to 19 August 2024. Based on Worldpop population data and the maximum flood water extent, ~170,000 people in Mayo-Kebbi Est Department, ~160,000 people in Logone Oriental Department and ~120,000 people in Tandjilé 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).

UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 August 2024 compared with the period from 01 to 05 August 2024. Within the cloud free analysed areas of about 620,000 km², a total of about 30,000 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 01 to 05 August 2024. Based on Worldpop population data and the maximal flood water extent ~505,000 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).

UNOSAT code: FL20240502BGD, GDACS ID: 1102700 This map illustrates the aggregated floods using Sentinel-1 images acquired between 16 to 23 July 2024 and between 4 to 11 July 2024 using an automated analysis with a machine learning method. Within the analysed area of about 140,000 km², a total of about 8,530 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 8 million people are exposed or living close to flooded areas. Between these two periods, the floodwaters have increased about 130 km2. The increase has been mainly observed within the Rajshahi, Sylhet, Rangpur and Dhaka divisions accordingly. 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.

UNOSAT code: FL20240820TCD This map illustrates cumulative satellite-detected water using VIIRS in Chad between 15 to 19 August 2024. Within the cloud free analysed areas of about 1,200,000 km², a total of about 19,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximal flood water extent ~700,000 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).

UNOSAT code: FL20240812YEM This map illustrates satellite-detected water extent in Al Hodeidah Governorate, Yemen as observed from a Sentinel-2 satellite image acquired on 07 August 2024 at 10:59 local time . Within the cloud free analysed areas of about 20,000 km², a total of about 450 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood extent, approximately 170,000 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).

UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 18 to 22 August 2024 compared with the period from 15 to 19 August 2024. Within the cloud free analysed areas of about 560,000 km², a total of about 18,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 4,000 km² since the period between 15 to 19 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).

UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 15 to 19 August 2024 compared with the period from 10 to 14 August 2024. Within the cloud free analysed areas of about 570,000 km², a total of about 14,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 16,000 km² since the period between 10 to 14 August 2024. Based on Worldpop population data and the maximal flood water extent ~235,000 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).

UNOSAT code: FL20240502BGD, GDACS ID: 1102700 This map illustrates the aggregated floods using Sentinel-1 images acquired between 22 to 29 June 2024 and between 4 to 11 July 2024 using an automated analysis with machine learning method. Within the analysed area of about 140,000 km², a total of about 8,700 km² of land appear to be affected by flood waters. Based on Worldpop spatial demographic data, about 7.7 million people are exposed or living close to flooded areas. Between these two periods, the floodwaters have increased about 2,900 km2. The increase has been mainly observed within Rangpur and Rajshahi divisions accordingly. 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.

UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 20 to 24 April 2024. Within the cloud free analysed areas of about 630,000 km², a total of about 9,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximal flood water extent ~165,000 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).

UNOSAT code: FL20240804PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 08 to 12 August 2024. Within the analysed area of about 800,000 km², a total of about 25,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximum flood water coverage, about 9.2 million people were 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).

UNOSAT code: FL20240821CMR This map illustrates cumulative satellite-detected water extent in Farth-North Region, Cameroon between 16 to 20 August 2024. Within the cloud free analysed areas of about 33,000 km², a total of about 4,100 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 2,500 km² since the period between 07 to 11 August 2024. Based on Worldpop population data and the maximum flood water extent, ~350,000 people in Far-North Region are potentially exposed or living close to flooded areas, amongst which ~130,000 people in Mayo-Kani Department and ~120,000 people in Logone-et-Chari 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).

UNOSAT code: FL20240804PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 20 to 26 August 2024 compared with the period from 17 to 20 August 2024. Within the cloud free analysed areas of about 800,000 km², a total of about 34,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 14,500 km² since the period between 17 to 20 August 2024. Based on Worldpop population data and the maximal 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).

UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 05 to 09 June 2024 compared with the period from 01 to 05 May 2024. Within the cloud free analysed areas of about 580,000 km², a total of about 7,500 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,700 km² since the period between 01 to 05 May 2024. Based on Worldpop population data and the maximal flood water extent ~120,000 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).

UNOSAT code: FL20240804PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 13 to 17 August 2024 compared with the period from 08 to 12 August 2024. Within the cloud free analysed areas of about 800,000 km², a total of about 14,000 km² of lands appear to be affected with flood waters. Water extent appears to have receded of about 11,000 km² since the period between 08 to 12 August 2024. Based on Worldpop population data and the maximal flood water extent ~4.9 millionp eople 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).

UNOSAT code: FL20240425PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 20 to 24 April 2024. Within the analyzed area of about 880,000 km², a total of about 9,000 km² of land appears to be affected by flood waters. Based on Worldpop population data and the maximum flood water coverage, at least 1.5 million people were 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).

Flood footprint of historical events at a 200m x 200m resolution based on the cloud to street database with events from years 2000-2018 (see https://floodbase.com). The events have been processed into one hazard dataset per country.

UNOSAT code: FL20240812LBY This map illustrates satellite-detected water extent in Tahala Village, Ghat Governorate, South Province, Libya as observed from a Sentinel-2 satellite image acquired on 19 August 2024 at 11:50 local time (09:50 UTC). Within analysed area of about 100 km², a total of about 5 km² of land appears to be affected by floodwaters. In Tahala Village, approximately 4 km² (11%) of the village is flooded. Additionally, about 3 km of road is affected by the flooding. 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).

UNOSAT code: FL20240820TCD, GDACS ID: 1102854 This map illustrates satellite-detected water extent in Bongor City, Mayo-Boneye Department, Mayo-Kebbi Est Region, Chad as observed from a PlanetScope satellite image acquired on 26 August 2024. Within the analysed area of about 70 km², a total of about 20km² of lands appear to be affected by flood waters. Within the analysed area approximately 1,600 buildings (<30%) in Chad are affected by the floodwaters. 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).

UNOSAT code: FL20240603LKA, GDACS ID: 1102660 This map illustrates satellite-detected water extent in Gampaha, Colombo and Kalutara Districts, Western Province, Sri Lanka as observed from a Sentinel-1 image acquired on 04 June 2024 at 00:25 UTC. Within the analysed areas of about 8,000 km², a total of about 124 km² of lands appear to be affected with flood waters. Based on WorldPop population data and the flood extent about 100,000 people are potentially exposed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

UNOSAT code: FL20240820TCD This map illustrates satellite-detected water extent in N'Djamena city, N'Djamena Department, Chad as observed from a PlanetScope satellite image acquired on 26 August 2024. Within the analysed area of about 440 km², a total of about 50km² of lands appear to be affected by flood waters. Within the analysed area approximately 7,900 buildings (<3%) in Chad are affected by the floodwaters. 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).

UNOSAT code: FL20240804PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 21 July 2024 to 03 August 2024. Within the analysed area of about 800,000 km², a total of about 18,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximum flood water coverage, about 7.7 million people were 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).

UNOSAT code: FL20240812LBY This map illustrates satellite-detected water extent in Al-jawf Town, Alkufra Governorate, East Province, Libya as observed from a Sentinel-2 satellite image acquired on 14 August 2024 at 11:13 UTC. Within the analysed area of about 120km², a total of about 2 km² of lands appear to be affected by flood water. 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).