United Nations Satellite Centre (UNOSAT)

UNOSAT code: FL20240512AFG, GDACS ID: 1102616 This map illustrates satellite-detected mudflow extent in Burka District, Baghlan Province, Afghanistan as observed from a Pléiades image acquired on 14 May 2024 at 10:48 local time (06:18 UTC). Within the analysed area of about 130 km², a total of about 18 km² of lands appear to be affected by mudflow. UNITAR-UNOSAT identified 2,042 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).

UNOSAT code: FL20240425SSD This map illustrates satellite-detected water in Juba City, Juba County, Central Equatoria Province, South Sudan, as observed from a Sentinel-2 image acquired on 06 May 2024 at 10:06 local time (08:06 UTC). Within the analysed area of about 64,000 km², a total of about 37 km² of land appears 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).

UNOSAT code: FL20240512AFG, GDACS ID: 1102616 This map illustrates satellite-detected mudflow extent in Burka District, Baghlan Province, Afghanistan as observed from a Pléiades image acquired on 14 May 2024 at 10:48 local time. Within the analysed area of about 130 km², a total of about 18 km² of lands appear to be affected by mudflow. 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: FL20240512AFG, GDACS ID: 1102616 This application provides geospatial information on the ongoing floods in Afghanistan. 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.

UNOSAT code: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Kiambu County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 2 km² of cropland appears to be inundated. 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: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Kiambu County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 13 km² of land appears to be flooded. UNITAR-UNOSAT identified 1,815 affected structures, about 24 km of affected roads, and 6 affected bridges. 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: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Nairobi and Machakos County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 4 km² of cropland appears to be inundated. 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: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Nairobi and Machakos County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 22 km² of land appears to be flooded. UNITAR-UNOSAT identified 4,246 affected structures, about 94 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).

UNOSAT code: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Nairobi and Kiambu County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 3 km² of cropland appears to be inundated 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: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Garissa City and Mororo Village, Kenya, as observed from a Pléiades image acquired on 5 May 2024 at 07:36 UTC Within the analysed area , a total of about 22 km² of land appears to be flooded. Furthermore, within the analyzed area, 3,377 buildings are identified as affected by the floods, along with about 90 km of roads, as of 5 May 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).

UNOSAT code: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Nairobi, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 2 km² of land appears to be flooded. UNITAR-UNOSAT identified 3,387 affected structures, about 7 km of affected roads, and 9 affected bridges. 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: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Nairobi and Kiambu County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 17 km² of land appears to be flooded. UNITAR-UNOSAT identified 3,663 affected structures, about 44 km of affected roads, and 7 affected bridges. 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: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected landslides in Mai Mahiu and Kijabe Towns, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 2 km² of landslide scars with a total length of 10 km were observed. UNITAR-UNOSAT identified 1,338 affected structures, about 10 km of affected roads, 2 damaged bridges, and 1 damaged railway. 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: CE20231007PSE This map illustrates satellite-detected changes in agricultural areas of the Gaza Strip resulting from the decline in the health and density of crops due to the ongoing conflict. UNOSAT conducted an analysis utilising satellite imagery collected by the Sentinel-2 satellite between April 2017 and 2024, performing a Normalised Difference Vegetation Index (NDVI) analysis as well as a multitemporal classification to identify notable changes taking place in agricultural areas during that timeframe. The methodology evaluated the damage as a substantial decline in the health and density of crops in January 2024, in comparison to the preceding seven seasons spanning from 2017 to 2024. The decline in the health and density of the crops can be observed due to the impact of activities such as razing, heavy vehicle activity, bombing, shelling, and other conflict-related dynamics. The analysis includes damage assessment for permanent crop fields, arable land, and fallow lands. UNOSAT analysis shows that the agricultural extent in the Gaza Strip is estimated to be 178 sq. km, accounting for approximately 49% of the total area of the Gaza Strip, following an extensive land-cover analysis. Compared to the average of the previous seven years, approximately 45% of the permanent crop fields and arable land in the Gaza Strip exhibited a significant decline in health and density in April 2024. In a comprehensive evaluation, it was found that there has been a 33% increase in the proportion of agricultural land that has been damaged since the previous analysis conducted in January 2024. Additionally, the analysis indicates a notable rise in the destruction of the permanent crop fields and arable land in the Khan Yunis Governorate, with a 30-percentage point increase compared to the previous January 2024 analysis. Moreover, there has been a significant escalation in the destruction of agricultural land within the Rafah Governorate, with the percentage rising from 11% in January 2024 to 43% in April 2024. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: FL20240426KEN, GDACS ID: 1102561 This map illustrates satellite-detected surface waters in Garissa City and Mororo Village, Kenya, as observed from a Sentinel-2 image acquired on 29 April 2024 at 07:26 UTC Within the analysed area of about 160 km², a total of about 26 km² of land appears to be flooded. Furthermore, within the analysed area 3,440 buildings are identified as potentially affected by the floods as of 29 April 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).

UNOSAT code: FL20240426KEN, GDACS ID: 1102561 This application provides geospatial information on the ongoing floods in Kenya. 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.

UNOSAT code: FL20240426KEN This map illustrates cumulative satellite-detected water using NOAA-VIIRS acquired between the 24th and the 28th of April 2024. about 3,800 km² of land appear to be flooded. Based on Worldpop population data from 2020 and the flood water extent, ~190,000 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). Important note: Population data used for this estimate is from 2020. Current population count is not available.

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).

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: EQ20240326IDN, GDACS ID: 1420595 This map illustrates satellite-detected landslides in in Makale Selatan Sub-District, Tana Toraja District, Sulawesi Selatan Province, Indonesia as observed from a Jilin-1 image acquired on 19 April 2024. Within the analyzed area of 90 hectares, about 6 hectares of landslide scars were observed. UNITAR-UNOSAT identified 5 damaged structures, 10 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

UNOSAT code: EQ20240326IDN, GDACS ID: 1420595 This map illustrates satellite-detected landslides in Cipongkor Sub-District, Bandung Barat District, Jawa Barat Province, Indonesia as observed from a Fucheng-1 image acquired on 30 March 2024 at 22:34 local time (15:34) and a WorldView-3 image acquired on 29 March 2024 at 10:12 local time (03:12 UTC). Within the analyzed area of 740 hectares, about 50 hectares of landslide scars were observed. UTAR-UNOSAT identified 35 damaged structures, 38 potentially damaged structures and 1 affected road. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

UNOSAT code: CE20231007PSE This map illustrates satellite-detected changes in agricultural areas in a stretch of land 1 km from the Armistice Demarcation Line in the Gaza Strip, Occupied Palestinian Territory. UNOSAT conducted an analysis utilising Sentinel-2 satellite imagery captured between January 2018 and 2024, performing a Normalised Difference Vegetation Index (NDVI) analysis as well as a multi-temporal classification to identify notable changes in agricultural areas during that time frame. The decline in the health and density of the crops can be observed due to the impact of activities such as razing, heavy vehicle activity, bombing, shelling, and other conflict-related dynamics. The analysis includes damage assessment for permanent crop fields, arable land, and fallow lands. UNOSAT analysis and statistics presented show the damaged agricultural area in sq km, percentage and percentage change for only the area contained within the zone. Statistical analysis shows an increase on the percentage of damaged agricultural land in October 2023 from 5.36% to 33.13% of damaged land in February 2024.

UNOSAT code: CE20231007PSE This map illustrates a satellite-imagery based comprehensive damage assessment (CDA) to detect damage and destruction within a stretch of land 1 km from the Armistice Demarcation Line in the Gaza Strip, Occupied Palestinian Territory. This analysis includes a CDA from several dates, including 15 October 2023, 7 November 2023, 26 November 2023, 7 January 2024 and 29 February 2024. Statistical analysis shows the rapid increase in damaged and destroyed buildings within the zone, from 15% to 90% between October 2023 and February 2024. Satellite-derived analysis undertaken on 29 February 2024 on 4042 buildings within the zone, shows 3033 destroyed, 593 damaged (severe or moderately) and 416 with no visible damage.

UNOSAT code: TC20240328MDG, GDACS ID: 1001057 This map illustrates satellite-detected water extent in Sambava and Vohemar Districts, Sava Region, Madagascar as observed from a TanDEM-X satellite image acquired on 01 April 2024 at 18:09 local time (15:09 UTC). Within the analysed area of about 850 km², a total of about 10 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 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: EQ20240326IDN, GDACS ID: 1420595 This map illustrates satellite-detected surface waters in Jawa Tengah Province, Indonesia, as observed from a Sentinel-1 image acquired on 27 March 2024 at 22:17 UTC. and a Fucheng-1 image acquired on 27 March 2024 at 14:51 UTC. Within the analysed area of about 4,400 km², a total of about 260 km² of land appears to be flooded, receding of about 60 km² compared to 19 March 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 backscattering properties of the radar signal.