United Nations Satellite Centre (UNOSAT)

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Datasets [70] | Archived Datasets[1119] [?]
  • Time Period of the Dataset [?]: January 02, 2014-January 02, 2014 ... More
    Modified [?]: 10 August 2015
    Dataset Added on HDX [?]: 28 May 2015
    Summary: A total of 324 spatially distinct IDP shelter concentrations were identified as of 24 November 2013 within Mogadishu, representing a decrease of 56 IDP sites since the last UNOSAT analysis which used an image from 13 June 2013. An estimate of the total number of IDP structures located in Mogadishu indicates a minimum figure of at least 55,000 mostly informal shelters. The number of IDP camps has significantly reduced in multiple areas of Mogadishu. This report is the sixth in a series of IDP analyses done by UNOSAT since 2011 and is based on a time-series analysis of shelter concentrations within the city of Mogadishu using multiple satellite images acquired between 30 March 2011 and 24 November 2013. This assessment has not yet been validated in the field. Please send feedback to UNITAR/UNOSAT.
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 11, 2014-February 11, 2014 ... More
    Modified [?]: 7 July 2022
    Dataset Added on HDX [?]: 28 May 2015
    This map illustrates satellite-detected water bodies at the Tokwe Mukorsi Dam, Masvingo Province, Zimbabwe, as detected by TerraSAR-X on 11 February 2014. The flooded area above the dam has greatly increased due to recent heavy rains and currently encompasses about 2,300 ha. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: July 02, 2014-July 02, 2014 ... More
    Modified [?]: 10 August 2015
    Dataset Added on HDX [?]: 28 May 2015
    This map illustrates locations of destroyed structures within the arrondissements of Bangui, Central African Republic. Using satellite imagery acquired 16 November 2013, 22 February 2014, and 6 June 2014 UNOSAT reviewed the city of Bangui to locate signs of destroyed structures. By 22 February 2014, a total of 1,872 structures were destroyed in the area of Bangui, with 1,341 structures detected in the 8 arrondissements and an additional 531 located in the surrounding area. As of 6 June 2014 a total of 368 damaged structures have been reconstructed and 871 additional structures have been severely damaged or destroyed since 22 February 2014. Pre-crisis imagery used for this analysis was collected on 16 November 2013, and thus structures destroyed previous to 16 November 2013 are not indicated on this map. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 20, 2023-September 20, 2023 ... More
    Modified [?]: 20 September 2023
    Dataset Added on HDX [?]: 21 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 This map illustrates satellite-detected flood impact in 4 dams over Benghazi and Almarj governorates, East pronvce, Libya, as observed from optical very-high resolution satellite imagery. Dam reservoirs appears to be filled over the 4 dams. 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 dataset updates: Never
  • Time Period of the Dataset [?]: September 20, 2023-September 20, 2023 ... More
    Modified [?]: 20 September 2023
    Dataset Added on HDX [?]: 21 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 This map illustrates satellite-detected flood impact in the 2 Derna dams over Benghazi Governorate, East pronvce, Libya, as observed from optical very-high resolution satellite imagery. Dam wall reservoirs appears to be destroyed in both the upstream and the downstream Derna dams. 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).
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 20, 2023-September 20, 2023 ... More
    Modified [?]: 20 September 2023
    Dataset Added on HDX [?]: 21 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 Status: Significant light loss observed. Further action(s): Continuous observations planned for full assessment Severe floods in Libya have generated power supply outage in Derna and Al Baydā. About 5 km2 in Derna, and 4 km2 in Al Baydā became darker based on comparison of SDGSAT-1 images acquired before and after the floods. River delta area in Derna city lost the majority of night-time light, with power supply not fully restored as of 17 September 2023. In Al Baydā, power supply has been almost fully restored as of 17 September 2023. Continuous observations have been planned for full assessment of power recovery.
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 18, 2023-September 18, 2023 ... More
    Modified [?]: 18 September 2023
    Dataset Added on HDX [?]: 20 September 2023
    UNOSAT code EQ20230909MAR, GDACS Id: 1390643 Status: Power outage observed. Further action(s): continue monitoring No significant power outage observed in Marrakech (70 km NE mainshock epicentre), Taroudant (150 km SW Marrakech) and Chichaoua (75 km SW Marrakech). By 17 September, power supply in Tameslouht (20 km SW Marrakech) has recovered to the level observed before the earthquake of 08 September 2023. On 14 September, Southeast of Amizmiz likely to have power outage. By 17 September, power supply in Amizmiz (50 km SW Marrakech) was still  in recovery phase but not yet at the before earthquake level. On 14 September, no evidences of power outage is observed in rural areas such as Ait Iaaza (60 km SW mainshock epicentre) and Sidi Zouine (60 km NE mainshock epicentre).
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 19, 2023-September 19, 2023 ... More
    Modified [?]: 19 September 2023
    Dataset Added on HDX [?]: 20 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 Status: increased water observed Further action(s): continue monitoring Wadi Qattarra Dam 1 & 2 appears to be filled as of 16 September 2023; Wadi Jaza dam appears to be filled as of 15 September 2023; Increased water observed in Al Marj dam as of 15 September 2023; Both Derna dams destroyed by rushing flood waters.
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 15, 2023-September 15, 2023 ... More
    Modified [?]: 15 September 2023
    Dataset Added on HDX [?]: 16 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 This map illustrates satellite-detected flood extent in the Al Tamimi Town, East Province (Libya) as observed from a Pléiades imagery acquired on 13 September 2023 at 11:15 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Within the extent of the map, at least 64 structures appear to have been potentially exposed to rushing floodwaters. 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).
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 14, 2023-September 14, 2023 ... More
    Modified [?]: 14 September 2023
    Dataset Added on HDX [?]: 15 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 This map illustrates satellite-detected flood extent in the centre of Derna (Libya) as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Extensive damage and destructions are observed in the city centre and the port area. 2217 buildings were affected by the rushing floodwaters in Derna and 886 in this sector of the city. 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).
    60+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 12, 2023-September 12, 2023 ... More
    Modified [?]: 12 September 2023
    Dataset Added on HDX [?]: 14 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 Live web map showing analysis related to floods in Libya following the strom Daniel in the north-eastern part of Libya.
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 13, 2023-September 13, 2023 ... More
    Modified [?]: 13 September 2023
    Dataset Added on HDX [?]: 14 September 2023
    UNOSAT code FL20230912LBY, GDACS Id: 1102204 This map illustrates satellite-detected flood extent in Derna City located in the East Province of Libya, as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Within the city of Derna, at least 2,217 buildings appear to have been exposed to rushing floodwaters. 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).
    90+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 12, 2023-September 12, 2023 ... More
    Modified [?]: 12 September 2023
    Dataset Added on HDX [?]: 13 September 2023
    UNOSAT code EQ20230909MAR, GDACS Id: 1390643 This map illustrates potentially damaged structures/buildings by the M6.8 Chichaoua earthquake (70 km SW Marrakesh) of 08 September 2023 (22:11 UTC) as detected by using a Pleiades very high-resolution satellite image acquired on 10 September 2023. Within map extent, UNOSAT identified 271 damaged/potentially damaged 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).
    60+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 11, 2023-September 11, 2023 ... More
    Modified [?]: 11 September 2023
    Dataset Added on HDX [?]: 12 September 2023
    UNOSAT code EQ20230909MAR, GDACS Id: 1390643 This map illustrates potentially damaged structures/buildings by the M6.8 Adassil/Al Haouz earthquake (70 km SW Marrakesh) of 08 September 2023 (22:11 UTC) as detected by using a Pleiades very high-resolution satellite image acquired on 10 September 2023. Within map extent, UNOSAT identified 77 damaged/potentially damaged 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).
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 11, 2023-September 11, 2023 ... More
    Modified [?]: 11 September 2023
    Dataset Added on HDX [?]: 12 September 2023
    UNOSAT code EQ20230909MAR, GDACS Id: 1390643 Cette carte illustre les structures/bâtiments potentiellement endommagés par le séisme de magnitude 6,8 d’ Adassil/Mjdid du 8 Septembre 2023 à 22h11 UTC (à 75 km au SO de Marrakech) tel qu'observé à partir d'une image satellite Pléiades acquise le 10 Septembre 2023. Dans ce secteur d’analyse, UNOSAT a identifié 216 bâtiments endommagés et/ou potentiellement endommagés. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT)
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 11, 2023-September 11, 2023 ... More
    Modified [?]: 11 September 2023
    Dataset Added on HDX [?]: 12 September 2023
    UNOSAT code EQ20230909MAR, GDACS Id: 1390643 Cette carte illustre les structures/bâtiments potentiellement endommagés par le séisme du 8 Septembre 2023 à Taroudant (à 155 km au SO de Marrakech) tel qu'observé à partir de l’analyse d’une image satellite Pléiades acquise le 10 Septembre 2023. Dans ce secteur d’analyse, UNOSAT a identifié 205 bâtiments endommagés et/ou potentiellement endommagés. L'observation d'un regroupement de tentes au NE de la ville indiquerait une zone de rassemblement temporaire de sinistrés. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: September 09, 2023-September 09, 2023 ... More
    Modified [?]: 9 September 2023
    Dataset Added on HDX [?]: 10 September 2023
    UNOSAT code EQ20230909MAR, GDACS Id: 1390643 This application provides geospatial information on ongoing satellite based-assessment related with the 6.8 magnitude earthquake in Morocco of the 08th of September 2023 (22:11 UTC) with a mainshock epicentre located 70 SW of Marrakesh city. 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.
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: October 23, 2019-October 23, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Al-Haffa and Al-Qardaha Districts, Lattakia Governorate, Syria, based on SPOT-6 imagery acquired on 21 October 2019. Approximately 433 ha of potentially burned areas were detected by UNOSAT as of 21 October 2019 (red). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 16, 2015-November 16, 2015 ... More
    Modified [?]: 10 December 2015
    Dataset Added on HDX [?]: 10 December 2015
    This map illustrates satellite-detected waters in the Jowhar, Middle Shabelle region of Somalia. Using satellite imagery acquired 16 November 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 8,300 hectares in the Shabelle Dhexe and Hoose provinces. As of 16 November 2015, approximately 8,300 hectares of probable standing rain waters were detected over the districts of Jowhar, Balcad and, Afgooye. Due to the characteristics of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Pre-flood assessment performed by SWALIM.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: October 21, 2015-October 21, 2015 ... More
    Modified [?]: 6 November 2015
    Dataset Added on HDX [?]: 6 November 2015
    This map illustrates satellite-detected waters over Tonzang township, Chin Division, Myanmar. UNITAR-UNOSAT analyzed imagery collected by the WorldView-2 satellite on 17 October 2015 to assess the status of a landslide induced dam in Tonzang township. Imagery shows that there has been an increase in the satellite detected waters in the area and a total of 54 hectares are covered by water as of 17 October 2015. This means an increase of 59% since last UNOSAT analysis with imagery from 16 September 2015 when 34 hectares of land were covered by water. The increase on the satellite detected waters might have been slightly overestimated as extensive cloud cover in the area as of 16 September prevented UNOSAT from analyzing certain areas of the landslide. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 30, 2017-November 30, 2017 ... More
    Modified [?]: 4 December 2017
    Dataset Added on HDX [?]: 4 December 2017
    This map illustrates areas of satellite detected fires in Buthindaung, Maungdaw, and Rathedaung Townships in the Maungdaw and Sittwe Districts of Rakhine State in Myanmar. Analysis used satellite- fire detections collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on multiple dates from 25 August to 25 November 2017. A total of 171 fires were detected in different areas across Rathedaung, Buthindaung and Maungdaw townships during this period. While fire detections were spread out across the entire period analyzed, some notable clusters occurred on 28 August, 29 August, 3 September, 15 September, 25 September, 9 October, and 6 November, as indicated in the map. Days of peak fire detection occurred on 28 August and 15 September as indicated in the chart. Note that due to cloud cover and satellite overpass times many fires occurring in the area during this period would not have been detected, and are generally only detected if the satellites are overhead while the fire is sufficiently active and clouds are not interfering. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: August 03, 2016-August 03, 2016 ... More
    Modified [?]: 23 August 2016
    Dataset Added on HDX [?]: 22 August 2016
    Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Report
    This dataset updates: Never
  • Time Period of the Dataset [?]: August 17, 2017-August 17, 2017 ... More
    Modified [?]: 15 September 2017
    Dataset Added on HDX [?]: 15 September 2017
    This map illustrates satellite-detected surface water extent in the northern part of Bangladesh using a TerraSAR-X satellite image acquired on the 16 August 2017. In the analysed area; 221,915 ha of lands are likely affected. The population exposure analysis using WorldPop data shows that 2,143,586 people are potentially affected by floods in this analysed zone: ~1,800,000 are located in Rangpur Division and ~280,000 in Dhaka Division. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: October 27, 2016-October 27, 2016 ... More
    Modified [?]: 31 October 2016
    Dataset Added on HDX [?]: 31 October 2016
    This map illustrates satellite-detected potentially damaged buildings in Tiburon town, Sud department, Haiti. The UNITAR-UNOSAT analysis used a WorldView-2 satellite image acquired on the 17 July 2016 as a pre-image and a Worldview- 2 satellite image acquired on the 17 October 2016 as a post-image. The UNITAR-UNOSAT analysis identified 648 potentially damaged structures within the map extent of which 611 were identified inside the town of Tiburon. The depiction and use of town boundaries acquired from Wikimapia, are not warranted to be error- free nor do they imply official endorsement or acceptance by the United Nations. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 05, 2015-November 05, 2015 ... More
    Modified [?]: 10 December 2015
    Dataset Added on HDX [?]: 6 November 2015
    This map illustrates satellite-detected potential damage in the Kalam area of Khyber Pakhtunkhwa Province, Pakistan. This area is located roughly 180 kilometers southeast of the 26 October 2015 earthquake epicenter. Using a Pléiades satellite image acquired 31 October 2015 and a WorldView-1 image acquired 05 November 2014, UNITAR/UNOSAT identified 165 potentially damaged structures. The majority of these structures were situated in valley areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR/UNOSAT.
    This dataset updates: Never