South Sudan GIS data

**UNOSAT code: FL20240425SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 20 to 24 October 2024 compared with the period from 13 to 17 October 2024 . Within the cloud free analysed areas of about 625,000 km², a total of about 40,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 7,900 km² since the period between 13 to 17 October 2024 . Based on Worldpop population data and the maximal flood water extent ~820,000 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 26 to 30 October 2024 compared with the period from 20 to 24 October 2024 . Within the cloud free analysed areas of about 630,000 km², a total of about 43,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 3,700 km² since the period between 20 to 24 October 2024 . Based on Worldpop population data and the maximal flood water extent ~870,000 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 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: 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: 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: 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: 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: 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: FL20250110SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 01 to 05 March 2025 compared with the period from 01 to 05 February 2025 . Within the cloud free analysed areas of about 630,000 km², a total of about 23,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 14,000 km² since the period between 01 to 05 February 2025 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~390,000 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: 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).

This map illustrates satellite-detected damage density along the road connecting the cities of Morobo and Koya, Nahr Yei district, Central Equatoria, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of around 7,800 destroyed structures within the analysis extent of the current map (approximately 600 square kilometers). The whole analysis over the Nahr Yei district covers an area of approximately 3,640 square kilometers, and the results show over 18,300 destroyed structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20250110SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 13 to 17 August 2025, compared with the period from 25 to 29 April 2025. Within the cloud-free analysed areas of about 620,000 km², a total of about 26,000 km² of land appears to be affected by flood waters. Water extent appears to have increased of about 15,000 km² since the period between 25 to 29 April 2025 within the cloud-free analysed areas. Based on Worldpop population data and the maximal flood water extent ~416,000 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: FL20250110SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 25 to 29 April 2025 compared with the period from 15 to 19 March 2025 . Within the cloud free analysed areas of about 620,000 km², a total of about 11,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 10,600 km² since the period between 15 to 19 March 2025 within the cloud free analysed areas. Based on Worldpop population data and the maximal flood water extent ~180,000 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).

South Sudan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2020

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

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**UNOSAT code: FL20211015SSD** This map illustrates cumulative satellite-detected water using VIRRS in South Sudan between 09 to 13 October 2021 and 26 to 30 September 2021. Within the analyzed extent not covered by clouds, a total of about 37,000 km2 appear to be flooded. Based on Worldpop population data and the detected surface water, about 1,000,000 people are exposed or living close to flooded 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).

This map illustrates satellite-detected damage density at and around the city of Yei, Nahr Yei district, Central Equatoria, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of about 6,300 destroyed structures within the area of the current map (approximately 700 square kilometers). Most of the damage is concentrated in the outskirts of the city. The whole analysis over the Nahr Yei district covers an area of approximately 3,640 square kilometers, and the results show over 18,300 destroyed structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20220119SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 15 to 19 Jan. 2022 compared with the period between 10 to 14 Jan. 2022. Within the cloud free analyzed areas of about 625,000 km2, a total of about 31,500 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,300 km2 since the period between 10 to 14 Jan. 2022. Based on Worldpop population data and the maximal flood water coverage, ~755,000 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: FL20220119SSD** This map illustrates cumulativesatellite-detected water using VIIRS in South Sudan between 11 to 15 Feb. 2022 compared with the period between 04 to 08 Feb. 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 30,200 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,500 km2 since the period between 04 to 08 Feb. 2022. Based on Worldpop population data and the maximal flood water coverage, ~704,000 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: FL20220119SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 4 to 8 Feb. 2022 compared with the period between 15 to 19 Jan. 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 28,800 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 2,900 km2 since the period between 15 to 19 Jan. 2022. Based on Worldpop population data and the maximal flood water coverage, ~684,000 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: FL20211015SSD** This map illustrates historical comparative cumulative satellite-detected water using VIIRS in South Sudan between 19 Sep. to 18 Oct. 2021 and 20 Sep. to 19 Oct. 2020 . Within the analyzed extent not covered by clouds, a total of about 70,000 km2 appear to be flooded. Based on Worldpop population data and the detected surface water, about 2,000,000 people are exposed or living close to flooded 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).

**UNOSAT code: FL20211015SSD** This map illustrates satellite-detected water in Rubkona, Koch, and Guit Counties of South Sudan as observed from a Sentinel-2 image acquired on 17 October 2021. Within the cloud free analyzed areas of about 40,000km2, a total of about 5,700 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, ~138,000 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: FL20220424SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 03 to 07 August 2022 compared with the period from 19 to 23 July 2022. Within the cloud free analyzed areas of about 605,000 km2, a total of about 22,000 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 7,000 km2 since the period between 19 to 23 July 2022. Based on Worldpop population data and the maximal flood water coverage, ~565,000 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).

South Sudan Current Situation FEWS NET Acute Food Insecurity Classifications Data from 2011

Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).