United Nations Satellite Centre (UNOSAT)

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  • Time Period of the Dataset [?]: August 16, 2024-August 16, 2024 ... More
    Modified [?]: 16 August 2024
    Dataset Added on HDX [?]: 17 August 2024
    This dataset updates: Never
    UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 August 2024 compared with the period from 01 to 05 August 2024. Within the cloud free analysed areas of about 620,000 km², a total of about 30,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,800 km² since the period between 01 to 05 August 2024. Based on Worldpop population data and the maximal flood water extent ~505,000 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).
  • Time Period of the Dataset [?]: August 16, 2024-August 16, 2024 ... More
    Modified [?]: 16 August 2024
    Dataset Added on HDX [?]: 17 August 2024
    This dataset updates: Never
    UNOSAT code: FL20240812LBY This map illustrates satellite-detected water extent in Al-jawf Town, Alkufra Governorate, East Province, Libya as observed from a Sentinel-2 satellite image acquired on 14 August 2024 at 11:13 UTC. Within the analysed area of about 120km², a total of about 2 km² of lands appear to be affected by flood water. 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).
  • 20+ Downloads
    Time Period of the Dataset [?]: August 14, 2024-August 14, 2024 ... More
    Modified [?]: 14 August 2024
    Dataset Added on HDX [?]: 20 June 2024
    This dataset updates: Never
    UNOSAT code: CE20230415SDN This map illustrates damage to structures in the city of El Fasher, North Darfur, Republic of Sudan. The damage was investigated due to a significant occurrence of fire detections from May 9-20 2024. Fire detections are sourced from multiple US Government scientific satellites utilizing the MODIS and VIIRS sensors. While some fire detections may be non-violent in nature the large majority are firmly within areas of residential structures that show indications of burning in satellite imagery. Damaged areas are visible in satellite imagery from 11 November 2023 - 31 July 2024 and are heavily concentrated in the Eastern half of the city. In total, more than 23,600 structures are estimated to have been damaged or destroyed in these areas. Out of these 23,600 structures, approximately 2,000 were found damaged before 9 May 2024; 9,500 between 9 May and 23 May 2024; over 4,600 between 23 May and 1 June 2024; 3,900 between 1 June and 12 June 2024; 600 between 12 June 2024 and 26 June 2024; and 2,900 between 26 June 2024 and 31 July 2024. 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 [?]: August 14, 2024-August 14, 2024 ... More
    Modified [?]: 14 August 2024
    Dataset Added on HDX [?]: 14 August 2024
    This dataset updates: Never
    UNOSAT code: FL20240804PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 08 to 12 August 2024. Within the analysed area of about 800,000 km², a total of about 25,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximum flood water coverage, about 9.2 million people were 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).
  • Time Period of the Dataset [?]: August 12, 2024-August 12, 2024 ... More
    Modified [?]: 12 August 2024
    Dataset Added on HDX [?]: 13 August 2024
    This dataset updates: Never
    UNOSAT code: FL20240812YEM This map illustrates satellite-detected water extent in Al Hodeidah Governorate, Yemen as observed from a Sentinel-2 satellite image acquired on 07 August 2024 at 10:59 local time . Within the cloud free analysed areas of about 20,000 km², a total of about 450 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the flood extent, approximately 170,000 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).
  • Time Period of the Dataset [?]: August 05, 2024-August 05, 2024 ... More
    Modified [?]: 5 August 2024
    Dataset Added on HDX [?]: 6 August 2024
    This dataset updates: Never
    UNOSAT code: FL20240725KGZ This map illustrates satellite-detected mudslides in Bazar-Korgon District, Jalal-Abad Region, Kyrgyzstan, as observed from a WorldView-3 satellite image acquired on July 27, 2024, and Global satellites acquired on July 27, 28, and 30, 2024. Within the analyzed area of approximately 280 km², about 1 km² of mudslide extent was observed. Additionally, within this area, 23 buildings (less than 1% of the total structures) were identified as affected by the mudslide. Approximately 5 bridges were observed destroyed as of May 20, 2024. 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 [?]: August 05, 2024-August 05, 2024 ... More
    Modified [?]: 5 August 2024
    Dataset Added on HDX [?]: 6 August 2024
    This dataset updates: Never
    UNOSAT code: FL20240804PAK This map illustrates cumulative satellite-detected water using VIIRS in Pakistan from 21 July 2024 to 03 August 2024. Within the analysed area of about 800,000 km², a total of about 18,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximum flood water coverage, about 7.7 million people were 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).
  • Time Period of the Dataset [?]: July 31, 2024-July 31, 2024 ... More
    Modified [?]: 31 July 2024
    Dataset Added on HDX [?]: 1 August 2024
    This dataset updates: Never
    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 July 2017 and 2024, performing a Normalized Difference Vegetation Index (NDVI) analysis as well as a multitemporal classification to identify notable changes taking place in agricultural areas during that timeframe. The methodology evaluated the damage as a decline in the health and density of crops in July 2024, in comparison 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 analysis shows that the agricultural 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 65% of the permanent crop fields in the Gaza Strip exhibited a significant decline in health and density in July 2024. In a comprehensive evaluation, it was found that there has been a 4% increase in the proportion of cropland that has been damaged since the previous analysis conducted in June 2024. Additionally, the analysis indicates a notable rise in the destruction of the orchards and other trees, field crops and vegetables in the Gaza Governorate, with a 4-percentage point increase compared to the previous June 2024 analysis. Moreover, there has been a notable escalation in the destruction of cropland within the Rafah Governorate, with the percentage rising from 52% in June 2024 to 55% in July 2024. This is a preliminary analysis and has not yet been validated in the field.
  • 30+ Downloads
    Time Period of the Dataset [?]: July 31, 2024-July 31, 2024 ... More
    Modified [?]: 31 July 2024
    Dataset Added on HDX [?]: 1 August 2024
    This dataset updates: Never
    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 July 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, and 3 May 2024. According to satellite imagery analysis, UNOSAT identified 46,223 destroyed structures, 18,478 severely damaged structures, 55,954 moderately damaged structures, and 35,754 possibly damaged structures for a total of 156,409 structures. These correspond to around 63% of the total structures in the Gaza Strip and a total of 215,137 estimated damaged housing units. The governorates of North Gaza and Rafah have experienced the highest rise in damage compared to the 3 May 2024 analysis, with around 2,300 new structures damaged in North Gaza and around 15,030 in Rafah. Within Rafah, Rafah City municipality had the highest number of newly damaged structures, totalling almost 10,100. This is a preliminary analysis and has not yet been validated in the field.
  • Time Period of the Dataset [?]: July 31, 2024-July 31, 2024 ... More
    Modified [?]: 31 July 2024
    Dataset Added on HDX [?]: 1 August 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1102700 This map illustrates the aggregated floods using Sentinel-1 images acquired between 16 to 23 July 2024 and between 4 to 11 July 2024 using an automated analysis with a machine learning method. Within the analysed area of about 140,000 km², a total of about 8,530 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 8 million people are exposed or living close to flooded areas. Between these two periods, the floodwaters have increased about 130 km2. The increase has been mainly observed within the Rajshahi, Sylhet, Rangpur and Dhaka divisions accordingly. 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 the backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: July 16, 2024-July 16, 2024 ... More
    Modified [?]: 16 July 2024
    Dataset Added on HDX [?]: 17 July 2024
    This dataset updates: Never
    UNOSAT code: LS20240708IDN This map illustrates satellite-detected landslides in Bangio Village, Pinogu Sub-District, Bone Bolango District, Gorontalo Province, Indonesia as observed from a Sentinel-2 image acquired on 14 July 2024 at 02:17 UTC. Within the analysed area of 76 hectares, about 7 hectares of landslide scars were observed. UNITAR-UNOSAT identified 26 potentially affected structures. 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 [?]: July 15, 2024-July 15, 2024 ... More
    Modified [?]: 15 July 2024
    Dataset Added on HDX [?]: 16 July 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1102700 This map illustrates the aggregated floods using Sentinel-1 images acquired between 22 to 29 June 2024 and between 4 to 11 July 2024 using an automated analysis with machine learning method. Within the analysed area of about 140,000 km², a total of about 8,700 km² of land appear to be affected by flood waters. Based on Worldpop spatial demographic data, about 7.7 million people are exposed or living close to flooded areas. Between these two periods, the floodwaters have increased about 2,900 km2. The increase has been mainly observed within Rangpur and Rajshahi divisions accordingly. 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 the backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: July 09, 2024-July 09, 2024 ... More
    Modified [?]: 9 July 2024
    Dataset Added on HDX [?]: 10 July 2024
    This dataset updates: Never
    UNOSAT code: TC20240702JAM, GDACS ID: 1001067 This map illustrates satellite-detected water extent in Saint Elizabeth Parish as observed from a Sentinel-2 image acquired at 10:48 local time. Within the analysed area of about 1,200 km², a limited extent of 13 km² of lands appear to be affected with 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).
  • Time Period of the Dataset [?]: July 05, 2024-July 05, 2024 ... More
    Modified [?]: 5 July 2024
    Dataset Added on HDX [?]: 6 July 2024
    This dataset updates: Never
    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 June 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 substantial decline in the health and density of crops in June 2024, in comparison 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 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 63% of the permanent crop fields in the Gaza Strip exhibited a significant decline in health and density in June 2024. In a comprehensive evaluation, it was found that there has been a 9% increase in the proportion of cropland that has been damaged since the previous analysis conducted in May 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 7-percentage point increase compared to the previous May 2024 analysis. Moreover, there has been a significant escalation in the destruction of cropland within the Gaza Governorate, with the percentage rising from 61% in May 2024 to 69% in June 2024. This is a preliminary analysis and has not yet been validated in the field.
  • Time Period of the Dataset [?]: July 05, 2024-July 05, 2024 ... More
    Modified [?]: 5 July 2024
    Dataset Added on HDX [?]: 6 July 2024
    This dataset updates: Never
    UNOSAT code: TC20240702JAM, GDACS ID: 1001067 This map illustrates satellite-detected water extent in Kingston, Saint Catherine and Saint Andrew Parishes as observed from a TerraSAR-X image acquired at 06:03 local time. Within the analysed area of about 1,450 km², a limited extent of 5 km² of lands appear to be affected with 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). 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 [?]: July 02, 2024-July 02, 2024 ... More
    Modified [?]: 2 July 2024
    Dataset Added on HDX [?]: 3 July 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1102700 This map illustrates satellite-detected surface waters in Sunamganj Sadar and Bishwambarpur Upazilas, Sunamganj District, Sylhet Division, as observed from a Pleiades satellite image acquired on 26 June 2024 at 11:01 local time. Within the analysed area, about 120 km² of land appears to be flooded. Furthermore, within the analysed area, about 25,800 structures are identified as potentially affected by the floods (42% of the total structures in the analysed area), along with about 260 km of roads, as of 26 June 2024 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 [?]: July 01, 2024-July 01, 2024 ... More
    Modified [?]: 1 July 2024
    Dataset Added on HDX [?]: 2 July 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1102700 This map illustrates satellite-detected surface waters in Chhatak Upazila, Sunamganj District, Sylhet division, as observed from a GLOBAL satellite image acquired on 26 June 2024 at 05:58 local time. Within the analysed area, about 20 km² of land appears to be flooded. Furthermore, within the analysed area, about 3,350 structures are identified as potentially affected by the floods (30% of the total structures in the analysed area), along with about 40 km of roads, as of 26 June 2024 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).
  • 10+ Downloads
    Time Period of the Dataset [?]: June 29, 2024-June 29, 2024 ... More
    Modified [?]: 29 June 2024
    Dataset Added on HDX [?]: 29 June 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1001064 This map illustrates satellite-detected surface waters in Sylhet Sadar, Bishwanath, Dakshin Surma Upazilas, Sylhet district, Sylhet division, as observed from a SAOCOM-1A satellite image acquired on 26 June 2024 at 17:45 local time. Within the analysed area, about 134 km² of land appears to be flooded. Furthermore, within the analysed area, about 70,000 structures are identified as potentially affected by the floods (60% from the total structures in the analysed area), along with about 254 km of roads, as of 26 June 2024 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 [?]: June 25, 2024-June 25, 2024 ... More
    Modified [?]: 25 June 2024
    Dataset Added on HDX [?]: 25 June 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1001064 This map illustrates cumulative satellite-detected surface waters in Sylhet Division, Bangladesh as observed from Sentinel-1 images acquired on the 19th and 22nd June 2024 and using an automated analysis with machine learning method. Within the analysed area of about 12,000 km2, about 2,600 km2 of land appears to be flooded. Based on Worldpop population data and the detected surface waters in the analysed area, the potentially exposed population is mainly located in the district of Sylhet with ~1 million people, Habiganj with ~530,000 people, Sunamganj with ~420,000 people. 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.
  • 30+ Downloads
    Time Period of the Dataset [?]: June 14, 2024-June 14, 2024 ... More
    Modified [?]: 14 June 2024
    Dataset Added on HDX [?]: 15 June 2024
    This dataset updates: Never
    UNOSAT code: CE20231007PSE This map illustrates a satellite-based comprehensive damage assessment to detect damage and affected roads across the Gaza Strip, Occupied Palestinian Territory, based on an image collected on 29 May 2024. According to satellite imagery analysis, UNOSAT identified approximately 1,100km of destroyed roads, 350km of severely affected roads and 1,470km of moderately affected roads. From these statistics, it has been calculated that approximately 65% of the total road network has been damaged (including destroyed and affected roads), across the Gaza Strip. This is a preliminary analysis and has not yet been validated in the field.
  • Time Period of the Dataset [?]: June 12, 2024-June 12, 2024 ... More
    Modified [?]: 12 June 2024
    Dataset Added on HDX [?]: 13 June 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1001064 This map illustrates potentially affected structures as observed by using a WorldView-2 satellite image acquired on 10 June 2024 at 10:42 Local Time. Within the analysis extent, UNOSAT identified 45 damaged structures and 185 potentially damaged 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).
  • 20+ Downloads
    Time Period of the Dataset [?]: June 12, 2024-June 12, 2024 ... More
    Modified [?]: 12 June 2024
    Dataset Added on HDX [?]: 12 June 2024
    This dataset updates: Never
    UNOSAT code: FL20240425SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 05 to 09 June 2024 compared with the period from 01 to 05 May 2024. Within the cloud free analysed areas of about 580,000 km², a total of about 7,500 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,700 km² since the period between 01 to 05 May 2024. Based on Worldpop population data and the maximal flood water extent ~120,000 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).
  • Time Period of the Dataset [?]: June 11, 2024-June 11, 2024 ... More
    Modified [?]: 11 June 2024
    Dataset Added on HDX [?]: 12 June 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1001064 This map illustrates satellite-detected surface waters in Satkhira and Khulna Districts, Khulna Divisions, Bangladesh as observed from TANDEM_X images acquired on 1 June 2024 at 18:01 local time. Within the analyzed area of about 1,100 km2, about 200 km2 of land appears to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, 124,000 people are potentially exposed or living close to the affected areas. UNITAR-UNOSAT identified 76,000 structures potentially exposed to floods in the analyzed 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.
  • Time Period of the Dataset [?]: June 07, 2024-June 07, 2024 ... More
    Modified [?]: 7 June 2024
    Dataset Added on HDX [?]: 8 June 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1001064 This map illustrates potentially damaged structures as observed by using a Pléiades satellite image acquired on 4 June 2024 at 10:31 Local Time. Within the analysis extent, UNOSAT identified 30 damaged structures and 270 potentially damaged 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 [?]: June 07, 2024-June 07, 2024 ... More
    Modified [?]: 7 June 2024
    Dataset Added on HDX [?]: 8 June 2024
    This dataset updates: Never
    UNOSAT code: FL20240502BGD, GDACS ID: 1001064 This map illustrates potentially damaged structures as observed by using a Pléiades satellite image acquired on 4 June 2024 at 10:31 Local Time. Within the analysis extent, UNOSAT identified 64 damaged structures and 1,484 potentially damaged 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).