Satellite-detected cumulative water extents, as of 06 November 2019 over Luakpiny/Nasir, Pibor
About this dataset
Documentation
Related datasets
✦ Suggested by OrionAI**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 FL20220424SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 26 to 30 October 2022 compared with the period from 18 to 22 October 2022. Within the cloud free analyzed areas of about 630,000 km², a total of about 52,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 8,400 km² since the period between 18 to 22 October 2022. Based on Worldpop population data and the maximal flood water extent ~965,000 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 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).
**UNOSAT code FL20220424SSD** This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 11 to 15 August 2023 compared with the period from 10 to 14 July 2023. Within the cloud free analyzed areas of about 630,000 km², a total of about 26,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 9,000 km² since the period between 10 to 14 July 2023. Based on Worldpop population data and the maximal flood water extent ~450,000 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 cumulative satellite-detected water using VIIRS in South Sudan between 03 to 07 November 2021 compared with the period between 20 to 24 October 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 33,500 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 2,700 km2 since the period between 20 to 24 October 2021. Based on Worldpop population data and the detected surface waters, ~935,000 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).
Indexed by OrionGIS from Humanitarian Data Exchange (HDX). Data is loaded from the publisher's own server when you use it. Permanent link