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  • 400+ Downloads
    Updated May 15, 2019 | Dataset date: Dec 28, 2012
    This dataset updates: Every year
    Settlements with administrative Class(eg: 1=Country capital, 2=Region capital, 3=Prefecture capital…) The dataset represents the settlements of Togo with harmonized PCODE of ROWCA and Humanitarian Response pcodes.
  • This map illustrates satellite-detected possible flood water & saturated soil over Abu Hamad area in River Nile State, Sudan, extracted from Spot-6 imagery of 14 August 2016. UNOSAT analysis shows an increase of floods water / saturated soil around Nileside west and Abu Tin areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT
  • This map illustrates satellite detected possible flood water & saturated soil over Wad Madani, in Al Jazeera State, extracted from Radarsat-2 imagery (12 m) acquired on 18 August 2016. According to satellite derived analysis some areas within Al Jazeera State seem to be flooded. Possible flooded agricultural areas and saturated soils are particularly visible over Southern Al Jazeera Locality. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • This map illustrates satellite detected possible flood water & saturated soil over Al Jazeera Area, in Al Jazeera State, extracted from Radarsart-2 imagery (12.5 m) acquired on 18 August 2016. According to satellite derived analysis some areas within Al Jazeera State seem to be flooded. Possible flooded agricultural areas and saturated soils are particularly visible over Eastern Al Jazeera Locality. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 19, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of satellite imagery acquired 05 September 2016 and 30 August 2016 revealed a total of 8,783 shelters as well as 320 infrastructure and support buildings within the compound. This represents an increase of approximately 4 percent in shelters and an increase of roughly 38 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 27 June 2016 satellite imagery. New structures and containers were detected within PoC2 on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 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.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected possible flood water & saturated soil over Khartoum City in Suda nextracted from SPOT-7 imagery on 15 August 2016 in Khartoum State. UNOSAT analysis shows, an expansion of possible flood water and saturated soil over areas particulary located on right bank of the Blue Nile and White Nile, without causing floods inside build up areas. 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.
  • This map illustrates satellite-detected possible flood water & saturated soil over Sennar State, extracted from Radarsar-2 imagery acquired 12 August 2016. UNOSAT has analysed the area using a Radarsat-2 image acquired on 12 August 2016 to identify and delineate the Possible Flood Water & Saturated / Wet Soil. According to satellite derived analysis some areas within Sennar State seem to be flooded. In addition, and the Blue Nile increased its size especially in the right bank, without apparently causing floods inside build up areas.The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected shelters and other buildings at the Gawilan IDP Camp in Ninawa Province, Iraq. This camp is 7.2 kilometres northwest of Aski Kalak town and as of 28 June 2016, a total of 1,609 shelters were detected as well as 1,584 infrastructure and support buildings. Areas of shelters under construction are also visible in the image as of 28 June 2016. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Sep 6, 2016
    This dataset updates: Never
    This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Pleiades satellite on 02 September 2016, UNOSAT located 8,295 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 26 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 25 July 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.
  • 50+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 22, 2016
    This dataset updates: Never
    This map illustrates the refugee settlement in Al Azraq, Jordan as seen by the WorldView-3 satellite on 30 June 2016. Analysis by UNITAR-UNOSAT of the satellite image indicates a total of 14,609 visible structures. This includes 4,389 infrastructure and support buildings as well as 10,220 shelters. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 5 October 2015 detected a total of 14,227 infrastructure, support buildings and shelters. This is an increase of approximately 2.7%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected shelters and other buildings at the Al Zaatari refugee camp in Mafraq Governorate, Jordan. As of 30 June 2016 a total of 25,815 shelters were detected as well as 1,879 infrastructure and support buildings within the 534 hectares of the camp. Between 12 October 2015 and 30 June 2016 a total of 2,568 shelters were constructed, with even more removed, indicating an approximate 4.26% decrease in the number of shelters between 12 October 2015 and 30 June 2016. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. Shelters grouped under plastic sheeting were estimated by average household size and may be a source of error. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of damage in the Tabellino, Venice, Beloun, Al Hawary, Bu Hedima, and Al Lethy neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,488 potentially damaged structures in these neighborhoods. Approximately 526 of these were destroyed, 283 severely damaged, 357 moderately damaged, and 322 possibly damaged. A slightly higher margin of error is possible in this analysis due to cloud obstruction, utilization of multiple images, and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters around the Khartoum City in Sudan as detected in satellite imagery acquired by the TerraSAR-X satellite on 11 August 2016 in Khartoum State. UNOSAT analysis shows an expansion of water of~ 90Km2 (over the analysed area) particularly located in the left bank of White Nile without causing floods inside build up areas. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of damage in the Al Thama, Al Sabri, Old Benghazi, Al Salmane Al Sharge, and Al Salmane Al Garbe neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,184 potentially damaged structures in these neighborhoods. Approximately 75 of these were destroyed, 198 severely damaged, 426 moderately damaged, and 485 possibly damaged. A slightly higher margin of error is possible in this analysis due to utilization of multiple images and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of damage in the Bu Attniy North and Bu Attniy South neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,701 potentially damaged structures in these neighborhoods. Approximately 573 of these were destroyed, 329 severely damaged, 496 moderately damaged, and 303 possibly damaged. A slightly higher margin of error is possible in this analysis due to utilization of multiple images and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 12, 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
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 3, 2016
    This dataset updates: Never
    Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Report
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 28, 2016
    This dataset updates: Never
    This map illustrates satellite-detected water extent and evolution in the eastern part of Bangladesh as imaged by the SENTINEL-1 satellite on 30 June 2016 and 24 July 2016. The analysis shows an expansion of waters of 75% between the two dates within the entire analyzed zone. Heavy rains at the onset of the Monsoon season have caused flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 29, 2016
    This dataset updates: Never
    Preliminary Satellite Detected Waters Evolution in Central Bangladesh Report (28 July 2016)
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 27, 2016
    This dataset updates: Never
    This map illustrates satellite-detected water extent and evolution in Dhaka and Rajshahi divisions of the Central Bangladesh as imaged by the SENTINEL-1 satellite on 30 June 2016 and 24 July 2016. The analysis shows an expansion of waters of ~75% between the two dates. Heavy rains at the onset of the Monsoon season have caused flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 15, 2016
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the northwestern part of Rakhine State in the townships of Kyauktaw, Mrauk-U and Ponnagyun, Myanmar as imaged by the SENTINEL-1 satellite on 14 July 2016. Heavy rains at the onset of the monsoon season have caused flooding. The most affected lands seem to be mainly agricultural and/or paddy fields, many of which are of course frequently inundated at other times as well. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated May 15, 2019 | Dataset date: Oct 12, 2016
    This dataset updates: Never
    This map illustrates potential satellite-detected damaged structures in Imias and the surrounding area in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 10 October 2016, and identified 552 damaged structures within the map extent and 603 damaged structures in the covered area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates satellite-detected areas potentially damaged and related density and the identified road obstacles in Jérémie city and surrounding areas in Grande Anse department, Haiti. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired on the 07 October 2016 and Worldview-1 image acquired on 01 May 2015 and 08 December 2014. The UNITAR-UNOSAT analysis in the outskirts of Jeremie combined with Copernicus analysis in Jeremie city, identified 13,013 potentially damaged structures within this map extent. The UNITAR-UNOSAT analysis identified 134 road obstacles and 800 population gathering sites within the map extent.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Oct 15, 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).