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  • OCHA Chad
    Updated May 26, 2017 | Dataset date: May 17, 2016
    Geodatabase with GIS data and statistics data for Chad including boundaries, transportation, hydrology, health facilities, population data...
  • 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.
  • This map illustrates satellite-detected waters and probable flood waters in the Chennai area of the Tamil Nadu State in India. Using satellite imagery acquired 24 November 2015, 12 November 2015, 14 October 2015 and 01 September 2015. UNITAR-UNOSAT identified expansion of waters in the area of Chennai. Standing waters extended between the 24 November 2015 and 12 November 2015 and the total water expansion is estimated to be about 10% between the two dates. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 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.
  • This map illustrates satellite-detected areas of IDPs in Bor UNMISS Base and Protection of Civilian (PoC) areas, in Jonglei state, as seen by the WorldView-3 satellite on 8 October 2015. The IDP structures were moved from the old PoC area in the northeast of the base to the new PoC area found in the south, and currently all the IDP shelters are now entirely in the southern extension of the UNMISS base. There are currently 1,077 structures in the IDP settlement with 101 consisting of infrastructure buildings and 976 of shelter structures. A large part of the camp still remains unoccupied and this can be seen as the Contingency 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 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.
  • This map illustrates satellite-detected areas of destruction in the majority of Taiz, Yemen, as seen by the WorldView-3 satellite on 26 June 2015. UNOSAT identified a total of 328 damaged buildings (54 destroyed, 66 severely damaged, 156 moderately damaged, 52 possibly damaged) as well as 410 areas with significant amounts of debris. A total of 11 health centers are possibly damaged as they are within 100 meters of other destroyed or damaged buildings. This is a preliminary analysis and has not yet been validated in the field. Note that satellite imagery analysis will not capture all damage to buildings and instead only detects significant or catastrophic amounts of structural damage. Please send ground feedback to UNITAR - UNOSAT.
  • 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.
  • This map illustrates the extent of the snow cover caused by the storm "Huda" that moved through the Middle East region striking Lebanon, Jordan, and the West Bank from about 7-12 January. This analysis was based on satellite imagery collected by the MODIS sensor on the NASA Terra satellite on 12 January 2015. As seen in the imagery the snow has covered a very extensive part of the Lebanon and Syria. Due to cloud cover present on the imagery an extensive portion of the area of interest could not be analysed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
    • ZIP
    • This dataset updates: Never
  • This map illustrates satellite-detected areas of probable flood waters as detected in a Radarsat-2 satellite image collected 30 December 2014 and Sentinel-1 data collected 18 December 2014. Detected flood waters are primarily concentrated along coastal areas and shores of inland lakes, with few large bodies of flood waters detected. Numerous roads and railroads are likely inundated by flood waters which may impede transport in those areas. It is likely that flood waters have been systematically underestimated in highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • This map illustrates satellite-detected damage and destruction at Sana'a International Airport, Sana'a Governorate, Yemen. Using satellite imagery acquired 15 May 2015 and 12 December 2014, UNITAR-UNOSAT identified a total of 70 affected structures and transportation vehicles. Approximately 18 of these were destroyed, 32 severely damaged, and 20 moderately damaged. Additionally, 32 impact craters were found. One medical facility was identified within 500 meters of impact craters. 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 shelters and other buildings at the Al Zaatari refugee camp in Mafraq Governorate, Jordan. As of 26 April 2015 a total of 29,231 shelters were detected as well as 1,966 infrastructure and support buildings within the 534.4 hectares of the camp. Between 11 November 2014 and 26 April 2015, a total of 2,676 shelters closed or were moved, and a total of 2,723 shelters were constructed, and the number of shelters has thus decreased by about 12 since the previous UNITAR/UNOSAT assessment. This indicates an approximate 0.04% decrease in the number of shelters between 11 November 2014 and 26 April 2015. 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.
  • This map illustrates satellite-detected flood waters south of Myanmar's largest city, Yangon, as imaged by the Radarsat-2 satellite on 9 August 2015. Most of the flood affected lands are agricultural fields in the Yangon river delta. There is no significant overflowing of waters along the river bank. In the area analyzed, ~45,000 hectares of land has been identified as flood affected/inundated land as of 9 August 2015. 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.
  • With the rainy season in South Sudan coming to an end in September of 2015, the United Nations (UN) Country Team and humanitarian actors required information to plan efficient delivery of assistance and protection to people in need. Due to challenging logistical conditions, it had not been possible to reach this population during the rainy season. The United Nations Institute for Training and Research ? Operational Satellite Applications Program (UNITAR-UNOSAT) developed a monitoring framework for South Sudan, in consultation with United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) and other organizations working in the country. To support humanitarian assistance planning, UNITAR-UNOSAT conducted a qualitative analysis using high-resolution satellite imagery over portions of the Unity and Jonglei states in South Sudan (see Map 1). The analysis identified areas of destruction, looting, internally displaced persons (IDPs), and visible cattle, a potentially useful indicator of population and wealth distribution in these areas. Subsequently, UNITAR-UNOSAT performed a quantitative analysis of possible IDP shelters and estimated the number of potentially damaged structures within the same areas. This report outlines the methods and results of this analysis.
  • This map illustrates IDP settlements in Melut, Upper Nile State, South Sudan. Using high-resolution imagery optical satellite imagery collected by the WorldView-3 satellite on 2 December 2014, UNOSAT located 3,587 IDP structures (3,005 shelters and 582 Tukuls). The 6 distinct IDP settlements identified by UNOSAT occupy a total area of 86.09 ha. Of these, a total of 214 IDP structures are found within the Melut UNMISS Base, covering a total area of 1.84 ha. 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 shelters and other buildings at the Mbera refugee camp in South Eastern Mauritania. As of 14 August 2015 a total of 11,327 shelters were detected, consisting of 497 administrative buildings, 2,968 improvised shelters and 7,862 tent shelters. The camp covers a total of approximately 415.01 hectares. A variety of clinics, nutrition centers, schools, and other important features are also identified on the map, and based on information from UNHCR. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the refugee camp currently under construction in Al Azraq, Jordan using an image collected by the WorldView-2 satellite on 26 April 2014. As of 26 April 2014 a total of 7,333 structures were detected in the camp, 2,494 infrastructure and support buildings and 4,839 shelter structures. Nowadays the capacity of the camp is approximately of 12,500 refugees. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 28 December 2013 detected a total of 3,174 infrastructure, support buildings and shelters structures. This is an increase of approximately 230%. Paved and unpaved roads have likewise increased significantly and define the transportation network in and around the camp. Water and sanitation services are also under development in multiple camp zones suitable for supporting thousands of proximate shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 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.
  • This map illustrates satellite-detected changes in agricultural areas of the Gaza Strip resulting from the July ? August 2014 conflict in the area. Using a satellite image collected 14 August 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT performed Normalized Difference Vegetation Index analysis, multitemporal classification, and manual review in order to detect significant changes occurring in agricultural areas between those dates. This methodology assessed damage occurring as a result of razing, heavy vehicle tracking, bombing, shelling, and related conflict dynamics. The analysis includes damage occurring to both active crop fields and fallow lands, as well as in many household gardens. Note that due to the special characteristics of the area analysed, razing might have been overestimated in sandy areas, and some ambiguity often exists between unused lands, pasture lands, agricultural fields, and other land cover types. UNOSAT analysis indicates that ~1,800 hectares of agricultural fields have likely been razed or heavily damaged by these factors in the intervening period. In addition, using imagery acquired on 27 and 28 August 2014 UNOSAT assessed damage to greenhouses and identified a total 657 destroyed, 214 severely damaged and 392 moderately damaged greenhouse structures. 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 of flood water as observed in Sentinel-1 imagery collected 24 November 2014 and 18 December 2014. Waters extended along coastal areas and shores of inland lakes, with few large bodies of flood waters detected. Numerous roads and railroads are likely inundated by flood waters which may impede transport in those areas. It is likely that flood waters have been systematically underestimated in highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • This map illustrates topographic features in the planned Kalobeyei site, Turkana County, Kenya using a Digital Elevation Model derived from imagery with 1m resolution. UNITAR-UNOSAT built water levels scenarios that represents the potentially affected areas along the modelled stream network assuming a static raising of waters of 1 meter, 2 meters and 3 meters. Streamlines and static water levels has been extracted from a Hydrologically Conditioned version of the DEM derived from WorldView-2 Imagery with 5 m resolution. The model shows spatial distribution of potential water levels in the basin based on the elevation extracted from the DEM but does not represent a current flood scenario. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates IDPs structure density in the Daynile and Dharkenley districts in Mogadishu, Somalia, as detected in a Pleiades satellite image collected on 9 October 2014. UNOSAT analysis detected a total of 34,806 IDPs structures in these areas, which includes 14,655 temporary housing structures, 213 tukul-style structures, 4,428 shelters and 15,510 buuls. It is likely that subtle differences between temporary housing structures and shelters will lead to significant confusion between those two classes, though the overall structural count is accurate. 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 damaged structures in Taft City, Eastern Samar Province, Philippines. Using an image acquired by the WorldView-2 satellite on 12 December 2014 and compared with an image collected on 19 June 2014, UNOSAT identified 277 affected structures in the area. Specifically, 75 structures were categorized as destroyed, 63 as severely damaged and 139 as moderately damaged. 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 potential damaged structures in Chone area in Manabi Province, Ecuador, located at approximately 175 km south west of the 16 April 2016 Muisne earthquake main shock epicentre. Using a Pleiades satellite image acquired the 19 April 2016 and a WorldView-3 image acquired the 27 June 2015, UNITAR - UNOSAT identified 108 potentially damaged structures of which 5 were destroyed, 36 severely damaged, and 67 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected flood waters in the Chikwawa and Nsanje Districts of Southern Region of Malawi and in the Morrumbala District of Zambezia Province of Mozambique along the Shire River as detected by Landsat-7 imagery acquired 07 February 2015. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks, and within built-up urban areas 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.