UN Operational Satellite Applications Programme (UNOSAT)

Flood analysis for Niger (07 September 2009)

Updated November 17, 2018 | Dataset date: Sep 7, 2009

This dataset updates: Never

This is "Flood vectors - MODIS-Aqua (07 September 2009)" of the Flood analysis for Niger which began on 05 August 2009. It includes 148 satellite detected water bodies with a spatial extent of 1,260.01 square kilometers derived from the MODIS-Aqua image a...

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Flood analysis for Niger (14 August 2009)

UN Operational Satellite Applications Programme (UNOSAT)

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Updated November 17, 2018 | Dataset date: Aug 14, 2009

This dataset updates: Never

This is "Flood vectors - MODIS-Aqua (14 August 2009)" of the Flood analysis for Niger which began on 05 August 2009. It includes 282 satellite detected water bodies with a spatial extent of 1,468.82 square kilometers derived from the MODIS-Aqua image acqu...

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Geodata of Neighborhood Damage Percentages, Aleppo, Syria

UN Operational Satellite Applications Programme (UNOSAT)

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Updated February 19, 2016 | Dataset date: Feb 18, 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. Based on this analysis, in 12 neighborhoods the number of damaged buildings is more than 20%, and the neighborhood with the most damage is al Aqabeh, with 42,53% of buildings damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

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Satellite Detected Waters in Savu Area, Naitasiri Province, Central Division,...

UN Operational Satellite Applications Programme (UNOSAT)

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Updated March 2, 2016 | Dataset date: Feb 22, 2016

This dataset updates: Never

This map illustrates satellite-detected waters in Savu area, Naitasiri Province situated in the south of Viti Levu Island (Fiji). Using satellite imagery collected by RADARSAT-2 on 21 February 2016 and 08 April 2015, UNOSAT identified ~ 1,100 hectares of land to be potentially affected by waters. Most of the affected areas are agricultural fields located along the banks of River Rewa.

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Seychelles - Pre-Cyclone Potential Coconut Plantations Zones

UN Operational Satellite Applications Programme (UNOSAT)

Updated May 19, 2016 | Dataset date: May 13, 2016

This dataset updates: Never

This map illustrates satellite-detected potential Coconut plantations areas in Farquhar atoll in Seychelles before the Fantala-16 tropical cyclone of the 18 April 2016. Using a Worldview-2 satellite image acquired the 01 February 2016, UNITAR - UNOSAT identified ~250 ha of potential areas with coconut trees. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

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Syria - Al-Kamoune IDP Site Near Sarmada

UN Operational Satellite Applications Programme (UNOSAT)

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Updated May 19, 2016 | Dataset date: May 13, 2016

This dataset updates: Never

This map illustrates satellite-detected areas of intact and destroyed structures at the Al-Kamoune IDP site, situated near the town of Sarmada in Idlib Governorate, Syria. Using 12 May 2016 and 16 April 2016 satellite imagery collected by the Deimos-2 and Pleiades satellites respectively, UNITAR-UNOSAT identified a total of 1,242 structures. Approximately 1,182 of these structures appeared to be intact and 60 destroyed on 12 May 2016, following an airstrike that hit the site on 05 May 2016. At least two different areas were affected, one of which was covered by sand or gravel as of 12 May 2016. Reconstruction appears to have started a few days prior to this. Due to lower resolution of the 12 May 2016 image there is a higher than usual level of uncertainty in this analysis. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

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Iraq - Geodata of Damage Assessment for Fallujah and Al Anbar Provinces

UN Operational Satellite Applications Programme (UNOSAT)

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Updated July 11, 2016 | Dataset date: Jul 11, 2016

This dataset updates: Never

This map illustrates satellite-detected damage and destruction in the city of Fallujah, Al Anbar Province, Iraq. Using satellite imagery acquired 28 and 29 June 2016, UNOSAT identified 491 destroyed structures, 300 severely damaged structures, and 453 moderately damaged structure. This latest analysis, combined with a previous UNOSAT analysis (done using an image from 30 November 2014), indicates a total of 1,422 destroyed structures (an increase of 53% from 2014), 604 severely damaged structures (an increase of 99% from 2014), and 578 moderately damaged structures (an increase of 362% from 2014). The total number of destroyed or damaged structures therefore increased from 1,360 to 3,964, an increase of 191%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

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Geodata of Shelters at Hadalat Border Crossing, Jordan-Syria Border

UN Operational Satellite Applications Programme (UNOSAT)

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Updated August 9, 2016 | Dataset date: Jul 14, 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 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. 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.

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Geodata of Possible Flood Water & Saturated Soil Over Khartoum Area, Khartoum...

UN Operational Satellite Applications Programme (UNOSAT)

Updated August 23, 2016 | 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.

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Geodata of Satellite Detected Waters Evolution in Central Bangladesh - Prelim...

UN Operational Satellite Applications Programme (UNOSAT)

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Updated August 23, 2016 | Dataset date: Jul 29, 2016

This dataset updates: Never

Preliminary Satellite Detected Waters Evolution in Central Bangladesh Report (28 July 2016)

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Geodata of Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Re...

UN Operational Satellite Applications Programme (UNOSAT)

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Updated August 23, 2016 | Dataset date: Aug 3, 2016

This dataset updates: Never

Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Report

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Geodata of Satellite Detected Waters over central part of Kassala State, Sudan

UN Operational Satellite Applications Programme (UNOSAT)

Updated August 23, 2016 | 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

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Geodata of Satellite Detected Water Extent and Evolution Over Central Bangladesh

UN Operational Satellite Applications Programme (UNOSAT)

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Updated August 23, 2016 | 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.

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Geodata of Satellite Detected Water Extent and Evolution Over Eastern part of...

UN Operational Satellite Applications Programme (UNOSAT)

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Updated August 23, 2016 | 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.

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South Sudan - Geodata of IDP Shelters in UN House Compound in Juba (Central E...

UN Operational Satellite Applications Programme (UNOSAT)

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Updated September 16, 2016 | Dataset date: Jul 11, 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.

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Geodata of Shelters at Hadalat Border Crossing, Jordan-Syria Border

UN Operational Satellite Applications Programme (UNOSAT)

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Updated September 20, 2016 | Dataset date: Jul 14, 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.

Geodata of Satellite Detected Waters Extent Over Northwestern Rakhine State, ...

UN Operational Satellite Applications Programme (UNOSAT)

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Updated September 20, 2016 | 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.

Geodata of Update: Al Zaatari Refugee Camp, Mafraq Governorate, Jordan

UN Operational Satellite Applications Programme (UNOSAT)

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Updated September 20, 2016 | 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.

Geodata of Damage Density in The City of Jama, Manabi Province, Ecuador

UN Operational Satellite Applications Programme (UNOSAT)

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Updated May 19, 2016 | Dataset date: May 18, 2016

This dataset updates: Never

This map illustrates satellite-detected areas of damage and related density in Jama city, Manabi Province, Ecuador. Located at approximately 100 km south of the 16 April 2016 Muisne earthquake mainshock epicenter and using a WorldView-2 satellite image acquired 02 May 2016 and a WorldView- 2 image acquired 02 December 2013. UNITAR-UNOSAT created a damage site density index for affected areas in the city of Jama. The analysis revealed a total of 151 potentially damaged structures of which 105 are destroyed, 34 severely damaged and 12 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.