United Nations Satellite Centre (UNOSAT)

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  • Time Period of the Dataset [?]: February 23, 2024-February 23, 2024 ... More
    Modified [?]: 23 February 2024
    Dataset Added on HDX [?]: 24 February 2024
    This dataset updates: Never
    UNOSAT code: FR20240222GNQ This map illustrates the burned areas as observed from Sentinel-2 images acquired on the 3rd and 18th of February 2024, over the Pico Basil Volcano on Bioko Island, Equatorial Guinea. Approximately 3 km2 of vegetation appeared to have burned around the Pico Basil Volcano as of February 3rd, 2024, increasing to about 6 km2 by 18th of February 2024. UNOSAT has identified 16 potentially affected structures and potentially affected roads approximately 2 kilometers. 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).
  • Time Period of the Dataset [?]: February 21, 2024-February 21, 2024 ... More
    Modified [?]: 21 February 2024
    Dataset Added on HDX [?]: 16 February 2024
    This dataset updates: Never
    UNOSAT code: FL20240102COG This map illustrates satellite-detected surface waters and landslides/mudflow extent in the Brazzaville Department, Republic of Congo, as observed from a WorldView-2 image acquired on 8 February 2024, at 10:31 local time. Within the analyzed area of 30,000 hectares, approximately 190 hectares of landslide scars/ mudflow extent are observed, and about 400 hectares of land appear to be flooded. Based on Worldpop population data, the detected surface waters and the extent of landslides/mudflows indicate that about 30,000 people are potentially exposed or living close to landslide and flooded areas. UNOSAT identified a total of 458 structures potentially affected by landslide and flood, along with 19 affected road. This is a preliminary analysis and has not yet been validated in the field. Please provide ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: February 09, 2024-February 09, 2024 ... More
    Modified [?]: 9 February 2024
    Dataset Added on HDX [?]: 10 February 2024
    This dataset updates: Never
    UNOSAT code: FL20240206LBY This application provides geospatial information on the ongoing floods in Libya. 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.
  • 90+ Downloads
    Time Period of the Dataset [?]: February 01, 2024-February 01, 2024 ... More
    Modified [?]: 1 February 2024
    Dataset Added on HDX [?]: 3 February 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities
    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 6 and 7 January 2024 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, 7 November 2023, and 26 November 2023. According to satellite imagery analysis, UNOSAT identified 22,130 destroyed structures, 14,066 severely damaged structures and 32,950 moderately damaged structures, for a total of 69,146 structures. These correspond to around 30% of the total structures in the Gaza Strip and a total of 93,800 estimated damaged housing units. The governorates of Gaza and Khan Yunis have experienced the highest rise in damage, with 10,319 new structures damaged in Gaza and 11,893 in Khan Yunis. Gaza City had the highest number of newly destroyed structures, with 8,926 in total. This is a preliminary analysis and has not yet been validated in the field.
  • 30+ Downloads
    Time Period of the Dataset [?]: February 01, 2024-February 01, 2024 ... More
    Modified [?]: 1 February 2024
    Dataset Added on HDX [?]: 3 February 2024
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities
    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 January 2018 and 2024, performing a Normalised Difference Vegetation Index (NDVI) analysis as well as a multi-temporal classification to identify notable changes taking place in agricultural areas during that time frame. The methodology evaluated the damage as a substantial decline in the health and density of crops in January 2024, in comparison to the preceding six seasons spanning from 2018 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 Gaza, following an extensive land cover analysis. Compared to the average of the previous six years, approximately 34% of the permanent crop fields and arable land in the Gaza Strip exhibited a significant decline in health and density in January 2024. Crop analysis shows that 21% of the arable land has been damaged. Furthermore, the analysis shows that there has been a significant increase in damage to the permanent crop fields and arable land in the Deir al-Balah Governorate, with around 56% of its agricultural land being impacted. Additionally, there has been an increase in agricultural land damage in the Khan Yunis Governorate, rising from 3% to 14% between imagery collected in December 2023 and January 2024. This is a preliminary analysis and has not yet been validated in the field.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 18, 2024-January 18, 2024 ... More
    Modified [?]: 18 January 2024
    Dataset Added on HDX [?]: 19 January 2024
    This dataset updates: Never
    UNOSAT code: FL20231229COD This map illustrates satellite-detected surface waters and landslide location in Kinshasa Province, Democratic Republic of The Congo, as observed from a WorldView-3 image acquired on 13 January 2024, at 10:36 local time. Within the analysed area of 130km2, approximately 4 km2 of land appear to be flooded and a landslide location observed. Within the analysed area 9,352 buildings are identified as potentially affected by the floods and landslide. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: January 08, 2024-January 08, 2024 ... More
    Modified [?]: 8 January 2024
    Dataset Added on HDX [?]: 9 January 2024
    This dataset updates: Never
    UNOSAT code: TC20240102MDG, GDACS ID: 1001040 This map illustrates satellite-detected water extent in Manakara Atsimo District, Vatovavy Fitovinany Region as observed from a Sentinel-1 image acquired on 05 January 2024 at 05:20 local time. Within the extent of this map of about 300 km², a total of about 20 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the detected surface waters, about 6,300 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: 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.
  • Time Period of the Dataset [?]: January 08, 2024-January 08, 2024 ... More
    Modified [?]: 8 January 2024
    Dataset Added on HDX [?]: 9 January 2024
    This dataset updates: Never
    UNOSAT code: FL20240102COG This map illustrates cumulative satellite-detected minimum floodwater using VIIRS in Republic of Congo between 29 December 2023 and 2 January 2024. Within the cloud free analysed area of about 330,000 km2, a total of about 1,000 km2 of lands appear to be affected with flood waters. Based on Worldpop population data and the minimum flood water coverage, ~114,000 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 provide ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Minimum floodwater extent indicates the portion of the pixel (375m) covered by 80 to 100% of flood water.
  • Time Period of the Dataset [?]: January 05, 2024-January 05, 2024 ... More
    Modified [?]: 5 January 2024
    Dataset Added on HDX [?]: 6 January 2024
    This dataset updates: Never
    UNOSAT code: TC20240102MDG, GDACS ID: 1001040 This map illustrates satellite-detected water extent in Vohipeno District, Vatovavy Fitovinany Region as observed from a Sentinel-1 image acquired on 05 January 2024 at 05:20 local time. Within the extent of this map of about 600 km², a total of about 50 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the detected surface waters, about 17,700 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: 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 04, 2024-January 04, 2024 ... More
    Modified [?]: 4 January 2024
    Dataset Added on HDX [?]: 5 January 2024
    This dataset updates: Never
    UNOSAT code: TC20240102MDG, GDACS ID: 1001040 This map illustrates cumulative satellite-detected water extent in Manja, Morombe & Ankazoabo Districts, Madagascar as of 03 January 2024 as observed from a Sentinel-1 image acquired on 03 January 2024 at 05:36 local time. Within the cloud free analysed area of about 5,500 km², a total of about 670 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the detected surface waters, about 18,000 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: 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.
  • Time Period of the Dataset [?]: January 03, 2024-January 03, 2024 ... More
    Modified [?]: 3 January 2024
    Dataset Added on HDX [?]: 4 January 2024
    This dataset updates: Never
    UNOSAT code: FL20240102COG This map illustrates satellite-detected surface waters and landslides/mudflow extent in Brazzaville and Pool Departments, Republic of Congo, as observed from a Sentinel-2 image acquired on 28 December 2023, at 10:21 local time. Within the analysed area of 30,000 ha, approximately 190 ha of landslide scars/mudflow extent are observed and about 230 ha of land appear to be flooded. Based on Worldpop population data, the detected surface waters and the landslide scar/mudflow extent, about 15,000 people are potentially exposed or living close to landslide and flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please provide ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: January 02, 2024-January 02, 2024 ... More
    Modified [?]: 2 January 2024
    Dataset Added on HDX [?]: 3 January 2024
    This dataset updates: Never
    UNOSAT code: FL20231229COD This map illustrates satellite-detected surface waters and landslides in Kinshasa Province, Democratic Republic of The Congo, as observed from a Sentinel-2 image acquired on 28 December 2023, at 10:21 local time. Within the analysed area of 44,000 ha, approximately 3 ha of landslide scars are observed and about 460 ha of land appear to be flooded. Based on Worldpop population data, the detected surface waters and the landslide scar extent, about 25,000 people are potentially exposed or living close to landslide and flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please provide ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: December 20, 2023-December 20, 2023 ... More
    Modified [?]: 20 December 2023
    Dataset Added on HDX [?]: 21 December 2023
    This dataset updates: Never
    UNOSAT code: LS20231208TZA This map illustrates satellite detected landslides in Hanang District, Manyara Region, Tanzania as observed from a Sentinel-2 acquired on 19 December 2023 at 11:01 local time. Within the analyzed area of 5,800 ha, about 55 ha of mudflow scars are 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).
  • Time Period of the Dataset [?]: December 14, 2023-December 14, 2023 ... More
    Modified [?]: 14 December 2023
    Dataset Added on HDX [?]: 15 December 2023
    This dataset updates: Never
    UNOSAT code: TC20231206SLB, GDACS ID: 1001038 Satellite detected landslide extent in the Nggela Constituency, Central Province, Solomon Island as of 14 December 2023 This map illustrates satellite-detected landslides in Nggela Constituency, Central Province, Solomon Islands, as observed from a Sentinel-2 satellite acquired on 14 December 2023 at 10:39 local time. Within the analyzed area of 400 ha about 12 ha of landslide extent is observed. UNOSAT identified 7 potentially 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).
  • 50+ Downloads
    Time Period of the Dataset [?]: December 13, 2023-December 13, 2023 ... More
    Modified [?]: 13 December 2023
    Dataset Added on HDX [?]: 14 December 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities
    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 December 2017 and 2023, performing a Normalised Difference Vegetation Index (NDVI) analysis as well as a multi-temporal 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 December 2023, in comparison to the preceding six seasons spanning from 2017 to 2022. 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 takes into account the damage that affects both active crop fields, fallow lands, and a multitude of household gardens. UNOSAT analysis shows that the agricultural extent in the Gaza Strip is estimated to be 185 sq. km, accounting for approximately 50% of the total area of Gaza. Compared to the average of the previous 6 years, approximately 18% of the arable land in the Gaza Strip has exhibited a significant decline in health and density in November 2023. Furthermore, the analysis shows that there has been a significant increase in damage to the arable land in the North Gaza Governorate, with around 39% of its land being impacted. Additionally, there has been an increase in agricultural land damage in the Gaza Governorate, rising from 17% to 27% between imagery collected on November 2023 and December 2023. This is a preliminary analysis and has not yet been validated in the field.
  • Time Period of the Dataset [?]: December 13, 2023-December 13, 2023 ... More
    Modified [?]: 13 December 2023
    Dataset Added on HDX [?]: 13 December 2023
    This dataset updates: Never
    UNOSAT code: TC20231206SLB, GDACS ID: 1001038 This map illustrates satellite-detected landslides in Maringe-Kokota Constituency, Isabel Province, Solomon Islands, as observed from a Sentinel-2 satellite acquired on 12 December 2023 at 10:48 local time. Within the analyzed area of 50 km², about 2 km² of mudflow extent is observed. UNOSAT identified 24 potentially 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).
  • Time Period of the Dataset [?]: December 13, 2023-December 13, 2023 ... More
    Modified [?]: 13 December 2023
    Dataset Added on HDX [?]: 13 December 2023
    This dataset updates: Never
    UNOSAT code: TC20231206SLB, GDACS ID: 1001038 This map illustrates satellite-detected landslides along the Kaipito River in Hograno-Kia-Havulei Constituency, Isabel Province, Solomon Islands, as observed from a Sentinel-2 satellite acquired on 12 December 2023 at 10:48 local time. Within the analyzed area of 75 km², about 2 km² of mudflow extent is observed. UNOSAT identified 11 potentially 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).
  • 50+ Downloads
    Time Period of the Dataset [?]: December 12, 2023-December 12, 2023 ... More
    Modified [?]: 12 December 2023
    Dataset Added on HDX [?]: 13 December 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities
    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 an image collected on 26 November 2023 when compared to images collected on 1 May 2023, 10 May 2023, 18 September 2023, 15 October 2023, and 7 November 2023. According to satellite imagery analysis, UNOSAT identified 10,049 destroyed structures, 8,243 severely damaged structures and 19,087 moderately damaged structures, for a total of 37,379 structures. This corresponds to around 18% of the total structures in the Gaza Strip. The governorates of North Gaza and Gaza have experienced the highest rise in damage, with 3,806 new structures damaged in North Gaza and 6,243 in Gaza. Gaza City had the highest number of newly destroyed structures, with 2,397 in total. This is a preliminary analysis and has not yet been validated in the field.
  • 10+ Downloads
    Time Period of the Dataset [?]: December 12, 2023-December 12, 2023 ... More
    Modified [?]: 12 December 2023
    Dataset Added on HDX [?]: 13 December 2023
    This dataset updates: Never
    UNOSAT code: LS20231208TZA This map illustrates satellite detected landslides in Hanang District, Manyara Region, Tanzania as observed from a Sentinel-2 acquired on 07 December 2023 at 11:11 local time. Within the analyzed area of 4,000 ha, about 75 ha of landslides scars are 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).
  • Time Period of the Dataset [?]: December 05, 2023-December 05, 2023 ... More
    Modified [?]: 5 December 2023
    Dataset Added on HDX [?]: 6 December 2023
    This dataset updates: Never
    UNOSAT code: FL20231105SOM This map illustrates satellite-detected surface waters in Juba Hoose and Juba Dhexe Region, Somalia as observed from a Sentinel-2 image acquired on 3 December 2023 at 07:39 UTC. Within the analysed area of about 20,000 km2 about 1,300 km2 of land appears to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: December 01, 2023-December 01, 2023 ... More
    Modified [?]: 1 December 2023
    Dataset Added on HDX [?]: 2 December 2023
    This dataset updates: Never
    UNOSAT code: FL20231105SOM This map illustrates satellite-detected surface waters in Buloburto City, Buloburto District, Hiraan Region, Somalia as observed from a Worldview-2 image acquired on 30 November 2023. Within the analysed area of about 150 km2 about 23 km2 of land appears to be flooded. Furthermore, within the analysed area 7,151 buildings are identified as potentially affected by the floods as of 30 November 2023. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: November 30, 2023-November 30, 2023 ... More
    Modified [?]: 30 November 2023
    Dataset Added on HDX [?]: 1 December 2023
    This dataset updates: Never
    UNOSAT code: FL20231105SOM This map illustrates satellite-detected surface waters in Bardere City, Baardheere District, Gedo Region, Somalia as observed from a WorldView-3 image acquired on 29 November 2023. Within the analysed area of about 32 km2 about 4.5 km2 of land appears to be flooded. The water extent appears to have receded about 1.5 km2 since 22 November 2023. Furthermore, within the analysed area about 1,200 buildings are identified as potentially affected by the floods as of 29 November 2023. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: November 28, 2023-November 28, 2023 ... More
    Modified [?]: 28 November 2023
    Dataset Added on HDX [?]: 29 November 2023
    This dataset updates: Never
    UNOSAT code: FL20231124KEN This map illustrates satellite-detected water extent in Dadaab Town, Dadaab County, Garissa Province, Kenya as observed from a Sentinel-2 image acquired on 26 November 2023 at 10:50 local time and a Landsat 9 image acquired on 21 November 2023 at 10:30 local time. Within analysed area of about 1,000 km², a total of about 110 km² of lands appear to be affected with flood waters. Furthermore, within the analysed area, about 4,600 buildings are identified as affected by the floods. 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).
  • Time Period of the Dataset [?]: November 27, 2023-November 27, 2023 ... More
    Modified [?]: 27 November 2023
    Dataset Added on HDX [?]: 28 November 2023
    This dataset updates: Never
    UNOSAT code: FL20231105SOM This map illustrates satellite-detected surface waters in Bu'aale City, Bu'aale District, Middle Juba Region, Somalia as observed from a Worldview-3 image acquired on 22 November 2023 at 07:35 UTC. Within the analysed area of about 1,000 hectares about 800 hectares of land appear to be flooded. Compared to the situation on 13 November, the flood-affected area in the analysed extent increased about 20 hectares and the number of flood-affected buildings increased about 330. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: November 27, 2023-November 27, 2023 ... More
    Modified [?]: 27 November 2023
    Dataset Added on HDX [?]: 28 November 2023
    This dataset updates: Never
    UNOSAT code: FL20231124KEN This map illustrates satellite-detected water extent in Garissa City, Dujis County, Garissa Province, Kenya as observed from a Sentinel-2 image acquired on 26 November 2023 at 10:50 local time. Within analysed area of about 220 km², a total of about 45 km² of lands appear to be affected with flood waters. Furthermore, within the analysed area, about 6,500 buildings are identified as affected by the floods. 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).