United Nations Satellite Centre (UNOSAT)

UNOSAT code: FL20250110SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 01 to 05 February 2025 compared with the period from 18 to 22 January 2025 . Within the cloud free analysed areas of about 630,000 km², a total of about 38,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 4,000 km² since the period between 18 to 22 January 2025 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~605,000 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: CE20231007PSE This map a satellite imagery-based comprehensive assessment of damage and destruction to greenhouses within the area of interest in the Gaza Strip, Occupied Palestinian Territory, based on images collected on 3 and 23 December 2024 when compared to images collected on 18 August 2024, 23-24 April 2024, 30-31 March 2024, 23 March 2024, 21 March 2024, 26 November 2023, 7 November 2023, 24-26 October 2023, 21 October 20223, 15 October 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, 10 October 2023, 18 September 2023, 10 May 2023, and 1 May 2023. According to satellite imagery analysis, UNOSAT identified 4,578 destroyed greenhouses, 439 severely damaged greenhouses, and 643 moderately damaged greenhouses for a total of 5660 greenhouses. This accounts for approximately 64% of the total greenhouses in the Gaza Strip, with 33% of these suffering additional damage since the previous assessment on 18 August 2024. Furthermore, 6% of the damage recorded in December 2024 is new compared to the previous analysis. In terms of surface area, 56% of the greenhouse extent is now damaged, reflecting a 37% increase compared to the previous analysis. The governorate of Rafah has experienced the highest increase in new damage since the 18 August 2024 analysis, with around 838 new greenhouses affected. Khan Yunis has seen an intensification of previously damaged greenhouses, with 703 more greenhouses sustaining further damage. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: CE20231007PSE This map illustrates satellite-detected changes in cropland 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 December 2017 and 2024, performing a Normalized Difference Vegetation Index (NDVI) analysis as well as a multitemporal classification to identify notable changes taking place in cropland areas during that timeframe. The methodology evaluated the damage as a decline in the health and density of crops in December 2024, compared 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 orchards and other trees, field crops and vegetables. UNOSAT and FAO analysis shows that the cropland extent in the Gaza Strip is estimated to be 150 sq. km, accounting for approximately 41% of the total area of the Gaza Strip, following an extensive land-cover analysis. Compared to the average of the previous seven years, approximately 75% of the permanent crop fields in the Gaza Strip exhibited a significant decline in health and density in September 2024. In a comprehensive evaluation, it was found that there has been a 10% increase in the proportion of cropland that has been damaged since the previous analysis conducted in September 2024. Additionally, the analysis indicates a notable rise in the destruction of the orchards and other trees, field crops and vegetables in the Deir al-Balah Governorate, with a 9-percentage point increase compared to the previous July 2024 analysis. Moreover, there has been a notable escalation in the destruction of cropland within the Rafah Governorate, with the percentage rising from 57% in September 2024 to 67% in December 2024. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: FL20250110SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 18 to 22 January 2025 compared with the period from 04 to 08 January 2025 . Within the cloud free analysed areas of about 630,000 km², a total of about 42,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 13,000 km² since the period between 04 to 08 January 2025 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~655,000 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: FL20250121MOZ Este mapa ilustra a água detectada por satélite nos Distritos de Mossuril e Ilha de Moçambique, Província de Nampula, usando imagens satélite tirada no dia 18 de janeiro de 2025 às 09:34, horário local. Dentro da área analisada de aproximadamente 4.600 km², estima-se que 60 km² de terra tenham sido afetados pelas águas das enchentes. Com base nos dados demográficos espaciais do WorldPop, aproximadamente 9.000 pessoas estão expostas ou morando perto das áreas inundadas. Essa é uma análise preliminar e ainda não foi validada em campo. Envie comentários sobre o solo para o Centro de Satélites das Nações Unidas (UNOSAT).

UNOSAT code: FL20250110SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 04 to 08 January 2025 compared with the period from 14 to 18 December 2024 . Within the cloud free analysed areas of about 630,000 km², a total of about 55,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 16,000 km² since the period between 14 to 18 December 2024 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~920,000 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: FL20241224SDN This map illustrates the satellite-detected water extent in White Nile State, Sudan, as observed from a Sentinel-2 satellite image acquired on 1 January 2025 at 10:13 local time (08:13 UTC). Within the analyzed area of approximately 24,000 km², about 145 km² of land appears to be affected by floodwaters. Floodwater extent seems to have increased by about 5 km² compared to 27 December 2024. Based on WorldPop population data and the flood extent, approximately 63,000 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).

UNOSAT code: FL20241224SDN This map illustrates the satellite-detected water extent in Khartoum and White Nile States, Sudan, as observed from a Sentinel-2 satellite image acquired on 1 January 2025 at 10:13 local time (08:13 UTC). Within the analyzed area of approximately 24,000 km², about 145 km² of land appears to be affected by floodwaters. Floodwater extent seems to have increased by about 5 km² compared to 27 December 2024. Based on WorldPop population data and the flood extent, approximately 63,000 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).

UNOSAT code: EQ20241217VUT, GDACS ID: 1458084 This map illustrates the potentially damaged structures/buildings and landslide extents resulting from the earthquake on December 17, 2024, in Vanuatu, as detected from a WorldView-2 very high-resolution satellite image acquired on December 20, 2024, at 09:46 local time. Within the analyzed area of approximately 3,000 hectares, UNOSAT identified 6 potentially damaged structures and 20 hectares of land affected by landslides. 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: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 14 to 18 December 2024 compared with the period from 08 to 12 December 2024 . Within the cloud free analysed areas of about 630,000 km², a total of about 38,000 km² of lands appear to be affected with flood waters. Water extent appears to remain stable since the period between 08 to 12 December 2024 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~655,000 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: TC20241212MOZ, GDACS ID: 1001131 This map illustrates affected structures in Mecufi Posto, Mecufi District, Cabo Delgado Province as observed from a Pleiades satellite image acquired on 17 December 2024 at 07:51 Local Time. Within the analysed area, UNOSAT identified 2,433 destroyed structures and 1,684 damaged structures amongst a total of 4,118 structures observed. 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: TC20241212MOZ, GDACS ID: 1001131 This map illustrates affected structures in Murrebue Posto, Mecufi District, Cabo Delgado Province as observed from a Pleiades satellite image acquired on 16 December 2024 at 07:58 Local Time. Within the analysed area, UNOSAT identified 3,367 destroyed structures and 613 damaged structures amongst a total of 3,982 structures observed. 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: EQ20241217VUT, GDACS ID: 1458084 This application provides geospatial information on ongoing satellite based-assessment related with the 7.3M magnitude earthquakes in Vanuatu of the 17 December 2024 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: TC20241212MOZ, GDACS ID: 1001131 This application provides flood impact assessments for related to the Tropical Cyclone for CHIDO-25 in Mozambique. 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.

UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 08 to 12 December 2024 compared with the period from 23 to 27 November 2024 . Within the cloud free analysed areas of about 630,000 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 2,200 km² since the period between 23 to 27 November 2024 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~655,000 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: 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 1 December 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, 6 July 2024, and 3-6 September 2024. According to satellite imagery analysis, UNOSAT identified 60,368 destroyed structures, 20,050 severely damaged structures, 56,292 moderately damaged structures, and 34,102 possibly damaged structures for a total of 170,812 structures. These correspond to around 69% of the total structures in the Gaza Strip and a total of 245,123 estimated damaged housing units. The governorates of North Gaza and Rafah have experienced the highest rise in damage compared to the 6 September 2024 analysis, with around 3,138 new structures damaged in North Gaza and around 3,054 in Rafah. Within North Gaza, Jabalya municipality had the highest number of newly damaged structures, totalling 1,339. This is a preliminary analysis and has not yet been validated in the field.

UNOSAT code: FL20241128LKA This map illustrates cumulative satellite-detected water extent from multiple satellites in the Jaffna District, Northern Province, Sri Lanka from 3 to 10 December 2024. Within the cloud-free analysed area of approximately 760 km², an estimated 84 km² of land is observed to be affected by floodwaters, with around 43 km² of cropland Based on WorldPop spatial demographic data, approximately 2,400 people are exposed to or living near the flooded areas. Additionally, 3,400 buildings have been identified as potentially affected. 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 23 to 27 November 2024 compared with the period from 03 to 07 November 2024 . Within the cloud free analysed areas of about 630,000 km², a total of about 35,000 km² of lands appear to be affected with flood waters. Water extent appears to main stable since the period between 03 to 07 November 2024 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~675,000 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: FL20241112COL, GDACS ID: 1102988 This map illustrates satellite-detected water extent in Uribia Municipality, La Guajira Department, Colombia as observed from a Sentinel-2 satellite image acquired on 15 November 2024 at 10:17 Local Time. Within the analysed area of about 220 km², a total of about 24 km² of lands appear to be affected with flood waters. UNOSAT identified 529 structures that appear to be not affected by 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: TC20241117PHL, GDACS ID: 1001124 This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 and 20 November 2024. Within the defined analysis area, UNOSAT has identified 45 structures as damaged and 37 as potentially damaged. Out of a total of 132 buildings identified within the analysis extent, this represents approximately 50% of buildings as damaged. 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: TC20241117PHL, GDACS ID: 1001124 This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 and 20 November 2024. Within the defined analysis area, UNOSAT has identified 45 structures as damaged and 37 as potentially damaged. Out of a total of 132 buildings identified within the analysis extent, this represents approximately 62% of buildings as damaged. 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: TC20241117PHL, GDACS ID: 1001124 This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 and 20 November 2024. Within the defined analysis area, UNOSAT has identified 23 structures as damaged and 82 as potentially damaged. Out of a total of 1,174 buildings identified within the analysis extent, this represents approximately 9% of buildings as damaged. 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: TC20241117PHL, GDACS ID: 1001124 This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 November 2024 at 10:20 local time. Within the defined analysis area, UNOSAT has identified 72 structures as damaged and 131 as potentially damaged. Out of a total of 1,136 buildings identified within the analysis extent, this represents approximately 18% of buildings as damaged. 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: FL20241112COL, GDACS ID: 1102988 This map illustrates potentially affected structures in Riosucio Municipality, Chocó Department, Colombia as observed from a Pleiades satellite image acquired on 20 November 2024 at 11:07 Local Time. Within the analysis extent, UNOSAT identified 60 potentially affected structures amongst a total of 2,085 structures observed. 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: FL20241112COL, GDACS ID: 1102988 This map illustrates potentially affected structures in Bojayá Municipality, Chocó Department, Colombia as observed from a Pleiades satellite image acquired on 17 November 2024 at 10:40 Local Time. Within the analysis extent, UNOSAT identified 13 affected structures and 3 potentially affected structures amongst a total of 2,165 structures observed. 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).