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  • 10+ Downloads
    Updated December 6, 2019 | Dataset date: Oct 25, 2019
    This dataset updates: Never
    UNOSAT code: FL20191023SSD This map illustrates satellite-detected surface water in Unity, Jonglei and Lakes State of South Sudan as observed from Sentinel-1 imagery acquired on 23 October 2019. Within the analysed extent of about 85,000 km2, a total about 1,180 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 23 October 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal
  • UNOSAT code: FL20191023SSD This map illustrates the 5-day cumulative, day-time surface water extent detected over Luakpiny/Nasir, Pibor and neighbouring counties in South Sudan. The extent was derived from VIIRS-NOAA satellite imagery between 2 and 6 November 2019 and includes all pixels with 0-100% open water. In the two counties of interest, about 9% of the population in Luakpiny/Nasir and 7% in Pibor may be affected by taking into account WorldPop population estimates. This is a preliminary analysis that has not yet been validated in the field. Please send any fieldbased comments to UNITAR-UNOSAT.
  • Updated December 14, 2018 | Dataset date: Aug 14, 2014
    This dataset updates: Never
    This is "Flood vectors - Pleiades (14 August 2014)" of the Flood analysis for Sudan which began on 03 August 2014. It includes 1,685 satellite detected water bodies with a spatial extent of 39.2 square kilometers derived from the Pleiades image acquired o...
  • Updated December 14, 2018 | Dataset date: Aug 13, 2014
    This dataset updates: Never
    This is "Flood vectors - MODIS-Terra (13 August 2014)" of the Flood analysis for Sudan which began on 03 August 2014. It includes 110 satellite detected water bodies with a spatial extent of 1,376.95 square kilometers derived from the MODIS-Terra image ac...
  • Updated November 14, 2018 | Dataset date: Aug 13, 2014
    This dataset updates: Never
    This is "Flood vectors - Worldview-2 (13 August 2014)" of the Flood analysis for Sudan which began on 03 August 2014. It includes 4,793 satellite detected water bodies with a spatial extent of 64.12 square kilometers derived from the Worldview-2 image acq...
  • Updated November 13, 2018 | Dataset date: Jul 16, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (16 July 2007)" of the Flood analysis for Sudan which began on 10 July 2007. It includes 13,313 satellite detected water bodies with a spatial extent of 16,777.66 square kilometers derived from the MODIS-Aqua image acqu...
  • Updated November 13, 2018 | Dataset date: Aug 11, 2013
    This dataset updates: Never
    This is "Flood vectors - MODIS-Terra (11 August 2013)" of the Flood analysis for Sudan which began on 06 August 2013. It includes 142 satellite detected water bodies with a spatial extent of 14,897.21 square kilometers derived from the MODIS-Terra image a...
  • Updated November 13, 2018 | Dataset date: Aug 13, 2013
    This dataset updates: Never
    This is "Flood vectors - Radarsat-2 (13 August 2013)" of the Flood analysis for Sudan which began on 06 August 2013. It includes 406 satellite detected water bodies with a spatial extent of 7,641.62 square kilometers derived from the Radarsat-2 image acqu...
  • Updated November 13, 2018 | Dataset date: Jul 21, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (21 July 2007)" of the Flood analysis for Sudan which began on 10 July 2007. It includes 5,708 satellite detected water bodies with a spatial extent of 5,941.9 square kilometers derived from the MODIS-Aqua image acquire...
  • Updated November 13, 2018 | Dataset date: Jul 23, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (23 July 2007)" of the Flood analysis for Sudan which began on 10 July 2007. It includes 17,562 satellite detected water bodies with a spatial extent of 20,860.61 square kilometers derived from the MODIS-Aqua image acqu...
  • Updated November 13, 2018 | Dataset date: Aug 9, 2013
    This dataset updates: Never
    This is "Flood vectors - Formosat-2 (09 August 2013)" of the Flood analysis for Sudan which began on 06 August 2013. It includes 5,630 satellite detected water bodies with a spatial extent of 678.16 square kilometers derived from the Formosat-2 image acqu...
  • Updated November 13, 2018 | Dataset date: Aug 10, 2013
    This dataset updates: Never
    This is "Flood vectors - Radarsat-2 (10 August 2013)" of the Flood analysis for Sudan which began on 06 August 2013. It includes 216 satellite detected water bodies with a spatial extent of 8,042.0 square kilometers derived from the Radarsat-2 image acqui...
  • Updated November 13, 2018 | Dataset date: Sep 4, 2007
    This dataset updates: Never
    This is "Flood vectors - MODIS-Aqua (04 September 2007)" of the Flood analysis for Sudan which began on 10 July 2007. It includes 22,978 satellite detected water bodies with a spatial extent of 27,283.72 square kilometers derived from the MODIS-Aqua image...
  • 20+ Downloads
    Updated November 13, 2018 | Dataset date: Aug 22, 2012
    This dataset updates: Never
    This is "Flood vectors - Pleiades (22 August 2012)" of the Flood analysis for South Sudan which began on 24 September 2012. It includes 19 satellite detected water bodies with a spatial extent of 0.14 square kilometers derived from the Pleiades image acqu...
  • Updated August 13, 2018 | Dataset date: Aug 8, 2013
    This dataset updates: Never
    This is "Flood vectors - Formosat-2 (08 August 2013)" of the Flood analysis for Sudan which began on 06 August 2013. It includes 8,420 satellite detected water bodies with a spatial extent of 437.36 square kilometers derived from the Formosat-2 image acqu...
  • 20+ Downloads
    Updated January 8, 2018 | Dataset date: Jan 3, 2018
    This dataset updates: Live
    This map illustrates satellite-detected structures in the area of the Doro settlement in South Sudan. Using a satellite image collected by the Pleiades satellite on 11 November 2017, UNOSAT located 12,754 structures. Of these, 437 were administrative structures, 652 were improvised shelters, 228 were semi-permanent structures and 11,437 were tent shelters. Doro is located in the north of the country, in Eastern Nile State about 30 km from the border with Sudan. The population in November 2017 was about 58,000 people. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Updated January 8, 2018 | Dataset date: Jan 3, 2018
    This dataset updates: Live
    This map illustrates satellite-detected structures in the area of the Yusuf Batil settlement in South Sudan. Using a satellite image collected by the Pleiades satellite on 31 October 2017, UNOSAT located 15,970 structures. Of these, 209 were administrative structures, 5,012 were improvised shelters, 70 were semi-permanent structures, and 10,679 were tent shelters. This settlement is located the northern part of the country, in Eastern Nile State, about 40km from the border with Sudan. The population in November 2017 was about 43,000. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated August 10, 2017 | Dataset date: Aug 19, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 18 August 2016 revealed a total of 8,706 shelters as well as 345 infrastructure and support buildings within the compound. This represents an increase of approximately 2.7 percent in shelters and an increase of roughly 50 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 27 June 2016 satellite imagery. New structures and containers were detected within PoC2 on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated April 28, 2017 | Dataset date: Apr 8, 2017
    This dataset updates: Never
    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.
  • 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.
  • Updated April 28, 2017 | Dataset date: Apr 8, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in and around the cities of Yei, Morobo and Koya, Nahr Yei district, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of 18,318 destroyed structures within an analysed area of about 3,640 square kilometers. Approximately 10'449 affected structures are found within Yei and along the four primary roads radiating from the city. About 7,870 destroyed structures are found along the road connecting the cities of Morobo and Koya. Most structures appear to be destroyed by fire. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated September 20, 2016 | Dataset date: Aug 19, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of satellite imagery acquired 05 September 2016 and 30 August 2016 revealed a total of 8,783 shelters as well as 320 infrastructure and support buildings within the compound. This represents an increase of approximately 4 percent in shelters and an increase of roughly 38 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 27 June 2016 satellite imagery. New structures and containers were detected within PoC2 on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated September 16, 2016 | Dataset date: Jul 11, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-1 satellite imagery acquired 27 June 2016 revealed a total of 8,477 shelters as well as 231 infrastructure and support buildings within the compound. This represents an increase of approximately 3.2 percent in shelters and a decrease of roughly 3.3 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 25 September 2015 satellite imagery. While no structures were detected within PoC2, containers were visible in this area on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-1 satellite imagery acquired 27 June 2016 revealed a total of 8,477 shelters as well as 231 infrastructure and support buildings within the compound. This represents an increase of approximately 3.2 percent in shelters and a decrease of roughly 3.3 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 25 September 2015 satellite imagery. While no structures were detected within PoC2, containers were visible in this area on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated April 28, 2016 | Dataset date: Dec 8, 2015
    This dataset updates: Never
    With the rainy season in South Sudan coming to an end in September of 2015, the United Nations (UN) Country Team and humanitarian actors required information to plan efficient delivery of assistance and protection to people in need. Due to challenging logistical conditions, it had not been possible to reach this population during the rainy season. The United Nations Institute for Training and Research ? Operational Satellite Applications Program (UNITAR-UNOSAT) developed a monitoring framework for South Sudan, in consultation with United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) and other organizations working in the country. To support humanitarian assistance planning, UNITAR-UNOSAT conducted a qualitative analysis using high-resolution satellite imagery over portions of the Unity and Jonglei states in South Sudan (see Map 1). The analysis identified areas of destruction, looting, internally displaced persons (IDPs), and visible cattle, a potentially useful indicator of population and wealth distribution in these areas. Subsequently, UNITAR-UNOSAT performed a quantitative analysis of possible IDP shelters and estimated the number of potentially damaged structures within the same areas. This report outlines the methods and results of this analysis.