United Nations Satellite Centre (UNOSAT)

Member since 9 January 2015
Data Datasets [72] | Archived Datasets[1119] [?]
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  • 20+ Downloads
    Time Period of the Dataset [?]: April 06, 2016-April 06, 2016 ... More
    Modified [?]: 13 April 2016
    Dataset Added on HDX [?]: 13 April 2016
    This dataset updates: Never
    This map illustrates the location of damaged buildings and cultural heritage locations in the Ancient City of Palmyra, Syrian Arab Republic as determined by satellite imagery analysis. Using satellite imagery acquired 30 March 2016, 18 October 2015, and 26 June 2015 UNITAR-UNOSAT identified a total of 37 damaged structures within the Ancient City of Palmyra, of which 14 are destroyed, 8 are severely damaged, and 15 are moderately damaged. The majority of these damaged structures are in the vicinity of the Valley of the Tombs and the Necropolis, west and southwest of Palmyra. Additionally, satellite imagery analysis identified a total of 59 craters in the same area, an indicator of the level of fighting in the area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: September 17, 2015-September 17, 2015 ... More
    Modified [?]: 29 September 2015
    Dataset Added on HDX [?]: 29 September 2015
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures over Tuikhingzang town, Tonzang township, Chin Division, Myanmar. After a reported landslide induced dam that ruptured on 28 August 2015, UNITAR-UNOSAT analyzed imagery collected by the Pleiades satellite on 16 September 2015 and identified an area severely affected by a mudslide. Wide agricultural areas appear affected and the town of Tuikhingzang is partially covered by mud. UNOSAT identified a total of 141 destroyed structures and 48 severely damaged structures in the area. Local roads are also affected and a bridge has been completely destroyed. In addition two IDP settlements are visible 1 and 3 km northeast of the town and a total of 260 possible tent shelters were identified. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: August 18, 2016-August 18, 2016 ... More
    Modified [?]: 20 September 2016
    Dataset Added on HDX [?]: 19 September 2016
    This dataset updates: Never
    This map illustrates evolution of satellite detected waters over the central part of Khartoum City, Sudan, extracted from TerraSAR-X imagery (3 m) acquired on 11 August 2016 and SPOT-7 on 15 August 2016 (1.5 m). During this period, it has been observed that the water expansion is predominantly located in areas along Nile river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows water expansion on the right bank of the Blue Nile and on the left and right banks of the White Nile. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: August 11, 2015-August 11, 2015 ... More
    Modified [?]: 12 August 2015
    Dataset Added on HDX [?]: 12 August 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over Northern Rakhine State, Myanmar, in the areas of Kyauktaw, Mrauk-Oo, Ponnagyun & Rathedaung, Pauktaw and Minbya townships, as imaged by the TerraSAR-X satellite on 10 August 2015. In the analyzed area a total of ~60.000 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 4% to 8% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the main river banks, and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: October 06, 2017-October 06, 2017 ... More
    Modified [?]: 5 July 2018
    Dataset Added on HDX [?]: 10 October 2017
    This dataset updates: Never
    This map illustrates potentially damaged structures and buildings in the Central and Southern parts of Dominica (St. Patrick, St. Mak, St. George, St. Luke, St. David & St. Paul Parishes) as detected by satellite image acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. The UNITAR-UNOSAT analysis combined with Copernicus analysis, identified 12,873 potentially damaged structures in this zone. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 70 % of the total number of structures within the analyzed areas. Please note that some areas could not be analyzed due to the cloud cover. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: August 28, 2015-August 28, 2015 ... More
    Modified [?]: 29 September 2015
    Dataset Added on HDX [?]: 29 September 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in the city of Aden, Aden Governorate, Yemen. Using satellite imagery acquired 21 August 2015, 10 May 2015, and 31 December 2014, UNITAR-UNOSAT identified a total of 839 affected structures, a 30 percent increase from the previous 10 May 2015 analysis. Approximately 356 structures were destroyed, 202 severely damaged, and 270 moderately damaged. Additionally, 50 impact craters were found within the city, the majority of which were located in the vicinity of Aden International Airport. A total of 13 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: February 18, 2016-February 18, 2016 ... More
    Modified [?]: 18 February 2016
    Dataset Added on HDX [?]: 18 February 2016
    This dataset updates: Never
    This map illustrates the percentages of buildings damaged in the city of Aleppo, Syrian Arab Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR - UNOSAT identified a total of 12,065 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: November 24, 2017-November 24, 2017 ... More
    Modified [?]: 30 June 2018
    Dataset Added on HDX [?]: 4 December 2017
    This dataset updates: Never
    This map illustrates satellite-detected damaged and potentially damaged buildings and the related density of damage in the areas north of Sarpol-e-Zahab county in Kermanshah province, Iran following the M 7.3 earthquake that struck the area on the 12 November 2017. The analysis was carried out comparing a post-event Pleiades image acquired on the 16 November 2017 with a pre-event WorldView3 image of 24 July 2017. The results indicate damage across several localities and villages in this zone and about 3300 structures were identified as potentially damaged (e.g. 362 in Koeeke Hasan; 148 in Tapamaran and 98 in Jaberi). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Time Period of the Dataset [?]: October 03, 2017-October 03, 2017 ... More
    Modified [?]: 5 July 2018
    Dataset Added on HDX [?]: 5 October 2017
    This dataset updates: Never
    This map illustrates potentially damaged structures and buildings in the north-western part of Dominica (St. John, St. Andrew, St. Peter & St. Joseph Parishes) as detected by satellite images acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. UNITAR-UNOSAT analysis used a Pleiades images acquired on 20 and 23 September 2017 as post imagery. Within the extent of this map UNITAR-UNOSAT identified in the cloud free zones about 3723 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 70 % of the total number of structures within the analysed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: July 14, 2016-July 14, 2016 ... More
    Modified [?]: 20 September 2016
    Dataset Added on HDX [?]: 14 July 2016
    This dataset updates: Never
    This data illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 13 July 2016, UNOSAT located 2,132 probable shelters. This is a 9% increase in shelters since the previous UNOSAT analysis done using an image collected 14 May 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously.
  • 10+ Downloads
    Time Period of the Dataset [?]: October 15, 2016-October 15, 2016 ... More
    Modified [?]: 31 October 2016
    Dataset Added on HDX [?]: 31 October 2016
    This dataset updates: Never
    This report highlights the preliminary building damage analysis including a rapid assessment of transportation network conditions and locations of spontaneous people gathering sites covering Jérémie Commune and surrounding areas.The analysis was conducted by comparing the post-disaster satellite images (Pleiades acquired on 7/10/2016) with available pre-disaster images (WorldView-1 on 01/05/2015 and 08/12/2014).
  • 10+ Downloads
    Time Period of the Dataset [?]: September 19, 2017-September 19, 2017 ... More
    Modified [?]: 26 September 2017
    Dataset Added on HDX [?]: 26 September 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage in the village of Chein Khar Li (Ku Lar), Koe Tan Kauk tract, Rathedaung township, Rakhine state, Myanmar. Using imagery collected on 31 August 2017, and comparing with imagery collected on 16 May 2017, UNOSAT identified 671 destroyed structures whitin the village. Analysis showed visible signs of scorching with darkened soils and burned vegetation. Almost the entire village appears destroyed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: March 07, 2016-March 07, 2016 ... More
    Modified [?]: 8 March 2016
    Dataset Added on HDX [?]: 8 March 2016
    This dataset updates: Never
    This map illustrates satellite-detected shelters and other structures at the Kapise refugee camp in Mwanza District, Malawi. The camp is for refugees fleeing reported violence in neighboring Mozambique. An initial examination of WorldView-2 satellite imagery acquired 16 February 2016 revealed a total of 1,497 structures within the camp. Approximately 24 of these were administrative buildings, 1,416 were tent or improvised shelters, and 57 were semi-permanent structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 50+ Downloads
    Time Period of the Dataset [?]: August 23, 2017-August 23, 2017 ... More
    Modified [?]: 15 September 2017
    Dataset Added on HDX [?]: 15 September 2017
    This dataset updates: Never
    This map illustrates satellite-detected surface water extent in the central and southern parts of Bangladesh using a Sentinel-1 satellite image acquired on the 22 August 2017. In the analysed area; 608,747 ha of lands are likely affected. These lands are mainly cropland irrigated and rainfed areas and estimated to 475,000 ha. The population exposure analysis using WorldPop data shows that ~6,400,000 people are potentially affected by floods in the analysed zone: ~2,300,000 are located in Chittagong Division and ~2,170,000 in Dhaka Division. Please note that for visualization purposesanalyzed area is wider than the extent of this map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: August 05, 2015-August 05, 2015 ... More
    Modified [?]: 10 August 2015
    Dataset Added on HDX [?]: 10 August 2015
    This dataset updates: Never
    This map provides an overview of satellite detected waters along the coastline of Quang Ninh Province, northern Vietnam. Due to continuous rainfall, a notable increase in inundated areas occurred within this region. Using satellite imagery acquired 02 August 2015 and 28 March 2015, UNITAR-UNOSAT identified approximately 4,731 hectares of flood affected land within the analyzed extent. Several flooded areas are in close proximity to Ha Long Bay, a UNESCO World Heritage Site. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: October 18, 2016-October 18, 2016 ... More
    Modified [?]: 31 October 2016
    Dataset Added on HDX [?]: 31 October 2016
    This dataset updates: Never
    This map illustrates potential satellite-detected structures in Cajobabo town and the surrounding area in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 7 of October, 2016. The analysis identified 450 damaged structures within the map extent of which 211 were identified inside the town of Cajobabo. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Time Period of the Dataset [?]: July 11, 2016-July 11, 2016 ... More
    Modified [?]: 16 September 2016
    Dataset Added on HDX [?]: 12 July 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.
  • Time Period of the Dataset [?]: May 09, 2016-May 09, 2016 ... More
    Modified [?]: 19 May 2016
    Dataset Added on HDX [?]: 19 May 2016
    This dataset updates: Never
    This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 29 April 2016, UNOSAT located 1,869 probable shelters within the 76.5 ha of the camp. This is a 587% increase in shelters since the previous UNOSAT analysis done using an image collected 29 January 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: November 28, 2017-November 28, 2017 ... More
    Modified [?]: 4 December 2017
    Dataset Added on HDX [?]: 4 December 2017
    This dataset updates: Never
    This map illustrates density of satellite-detected shelters and other buildings at the Qah Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 18,547 shelters were detected as well as 333 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 73% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 10,898 and the number of infrastructure and support buildings was 48 within the same area.The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: November 18, 2015-November 18, 2015 ... More
    Modified [?]: 10 December 2015
    Dataset Added on HDX [?]: 10 December 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters over the Shabelle hoose region of Somalia. Using satellite imagery acquired 16 November 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 2,790 hectares in the Shabelle Hoose province. As of 16 November 2015, approximately 2,970 hectares of probable standing rain waters were detected over the districts of Qoryooley, Kurtunwaarey, Marka, Baraawe and Sablaale. 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.
  • Time Period of the Dataset [?]: August 13, 2015-August 13, 2015 ... More
    Modified [?]: 29 September 2015
    Dataset Added on HDX [?]: 29 September 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the South Bago Division of Myanmar, over the Bago, Waw, Thanatpin, Kawa, and Kayan townships. Using satellite imagery acquired 09 August 2015, UNITAR-UNOSAT identified a total of 89,188 hectares of flood affected lands in the analyzed area that were mainly comprised of agricultural and/or paddy fields. The township of Thanatpin in Pegu district was the worst affected township with 5,822 hectares of flood affected land, followed by Kawa township in Pegu district (4,514 ha). Approximately 30 km of roads are potentially affected by floods in 17 of the 29 analyzed townships. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: December 11, 2015-December 11, 2015 ... More
    Modified [?]: 21 December 2015
    Dataset Added on HDX [?]: 21 December 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in the Shkaftat Gharby village of Sinjar District, Nineveh Province, Iraq. Using satellite imagery acquired 18 and 28 November 2015, 30 December 2014, and 07 August 2014, UNITAR - UNOSAT identified a total of 41 potentially affected structures. Approximately 16 of these were destroyed, 12 severely damaged, 6 moderately damaged, and 7 possibly damaged. Note that due to less-than-ideal imagery characteristics the error margin for this analysis is likely higher than usual, and due to terrain distortion the spatial accuracy is +/- 15 meters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: August 04, 2015-August 04, 2015 ... More
    Modified [?]: 10 August 2015
    Dataset Added on HDX [?]: 10 August 2015
    This dataset updates: Never
    This map gives an overview of satellite detected waters near Ha Long City in Quang Ninh Province, northern Vietnam. Due to continuous rain, there is a notable increase in inundated areas north of Ha Long Bay, a UNESCO World Heritage Site. In the analyzed area, approximately 300 hectares of land have been classified as flood affected, mainly agricultural fields as well as mining areas east of the town of Ha Long. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Time Period of the Dataset [?]: August 12, 2016-August 12, 2016 ... More
    Modified [?]: 23 August 2016
    Dataset Added on HDX [?]: 22 August 2016
    This dataset updates: Never
    This map illustrates satellite detected waters over the central part of Kassala state in Sudan extracted from Landsat-8 imagery (30m) acquired 05 June 2016 (Pre-event) and 08 August 2016 (Post-event). Since late June, it has been observed that the water expansion are predominantly located in areas along the Gash river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows that most of the water expansion is around agricultural and vegetated areas.This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT
  • Time Period of the Dataset [?]: September 25, 2017-September 25, 2017 ... More
    Modified [?]: 6 July 2018
    Dataset Added on HDX [?]: 26 September 2017
    This dataset updates: Never
    This map illustrates satellite-detected, potentially damaged structures in the town of Atzala, Atzala Municipality, Puebla State, Mexico. The analysed area is located approximately 7 km west of the mainshock epicentre of the 19 September M 7.1 earthquake. UNITAR-UNOSAT identified 91 potentially damaged structures of which 78 are within the town extent. Taking in account the total 559 pre-event structures in Atzala town, 14% of the structures are likely to be damaged. These analyses was performed using a post-event Pleiades satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 11 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.