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Liberia - Standardized Expanded Nutrition Survey - 2013

Time Period of the Dataset [?]: November 11, 2013-December 13, 2013 ... More

This dataset updates: Never

The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that play a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in the four Ivorian refugee camps (Bahn, PTP, Solo, and Little Wlebo) in Nimba, Grand Gedeh and Maryland Counties along the border with Cote d'Ivoire from November to December 2013. UNHCR and the World Food Programme (WFP) organized the survey in close collaboration with partners including Africa Humanitarian Action (AHA), International Refugee Committee (IRC), Merlin, Danish Refugee Council (DRC), CARE, and the Country Health Teams / Ministry of Health and Social Welfare of the Government of the Republic of Liberia. This was the second SENS to be conducted in the camps since the Ivorian refugee emergency in 2010 in Liberia; the first was in 2012.

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Liberia - Standardized Expanded Nutrition Survey - 2015

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: April 07, 2015-May 02, 2015 ... More

This dataset updates: Never

The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey was conducted in Bahn, PTP and Little Wlebo camps, which are located in Maryland, Grand Gedeh and Nimba counties lying along the border of Liberia and Côte d'Ivoire. The three camps were hosting close to 29,000 Ivorian refugees including approximately 5,000 children aged below five years. The survey, which was organized by UNHCR in close collaboration with World Food Programme (WFP), UN Childrens Fund (UNICEF), CARE, African Humanitarian Action (AHA) and Country Health Teams / Ministry of Health and Social Welfare of the Republic of Liberia, was conducted from 7th April to 2nd May 2015. This was the third SENS to be conducted in the camps since the Ivorian refugee emergency in 2010 in Liberia; the first was in 2012 and the second in 2013.

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Geodata of Standing Waters Over Jowhar Middle Shabelle Region, Somalia

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: November 16, 2015-November 16, 2015 ... More

This dataset updates: Never

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.

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Geodata of Landslide induced dam over Tonzang Township, Chin Division, Myanmar

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: October 21, 2015-October 21, 2015 ... More

This dataset updates: Never

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.

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Fire Detections in Buthidaung, Maungdaw, and Rathedaung Townships of Rakhine...

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: November 30, 2017-November 30, 2017 ... More

This dataset updates: Never

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.

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

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: August 03, 2016-August 03, 2016 ... More

This dataset updates: Never

Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Report

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Satellite Detected Waters in the Northwestern Part of Bangladesh

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: August 17, 2017-August 17, 2017 ... More

This dataset updates: Never

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.

Damage Assessment of Tiburon town and surroundings

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: October 27, 2016-October 27, 2016 ... More

This dataset updates: Never

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.

Geodata of Damage Assessment of Kalam Area, Khyber Pakhtunkhwa Province, Pakistan

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: November 05, 2015-November 05, 2015 ... More

This dataset updates: Never

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.

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Geodata of Damage Assessment of Tadmur and Al-Amiriyah, Homs Governorate, Syria

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: April 07, 2016-April 07, 2016 ... More

This dataset updates: Never

This map illustrates the location of damaged structures in the cities of Tadmur and Al-Amiriyah in the Syrian Arab Republic. Using satellite imagery acquired 30 March 2016, 18 October 2015, 27 August 2015, and 26 June 2015, UNITAR-UNOSAT identified a total of 611 damaged structures. Of these, 29 were destroyed, 103 severely damaged, and 479 moderately damaged. Additionally, a total of 66 craters were identified in the same area, an indicator of the level of fighting in these cities. Note that due to the nature of the combat and imagery quality it is likely that some minor and moderate damage has not been detected. UNITAR-UNOSAT will update this analysis as new imagery becomes available. 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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Sudan - Possible Flood Water & Saturated Soil over Sennar and Signa Area,...

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: August 17, 2016-August 17, 2016 ... More

This dataset updates: Never

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.

Geodata of Damage Assessment of Sinjar, Sinjar District, Nineveh Province, Iraq

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: November 30, 2015-November 30, 2015 ... More

This dataset updates: Never

This map illustrates satellite-detected damage and destruction in a portion of the town of Sinjar in Sinjar District, Nineveh Province, Iraq. Using satellite imagery acquired 18 November 2015 and 07 August 2014, UNITAR - UNOSAT identified a total of 1,293 potentially affected structures. Approximately 369 of these were destroyed, 336 severely damaged, 380 moderately damaged, and 208 possibly damaged. Note that due to less-than-ideal imagery characteristics the error margin for this analysis is likely higher than usual. 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 Land Cover Classification of Galangan & Katingan, Central...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: March 04, 2016-March 04, 2016 ... More

This dataset updates: Never

This map illustrates a land cover classification of the Galangan site and Katingan catchment area in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 24 September 2014 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. 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 Flood Waters Over South Sagaing State, Myanmar

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: August 12, 2015-August 12, 2015 ... More

This dataset updates: Never

This map illustrates satellite-detected flood waters in the Southern region of Sagaing Division in the areas of Monywa, Chaung-U and Myaung townships of Myanmar as imaged by the Radarsat-2 satellite on 6 August 2015. Waters along the Chindwin River have expanded and inundated lands on either sides of the river bank. Flood affected lands increase in the area were Chindwin River flows into Ayeyarwady River. Total surface covered with water in the analysed area has increased from a pre-flood level of 1% to 5% during the flood period, and as of 6 August 2015 a total of 86,799 ha of lands were affected. The township of Myaung in Sagaing district was the worst affected township with 22,024 hectares of flood affected land, followed by Chaung-U township in Monywa district (13,732 ha). Approximately 12 km of roads are potentially affected by floods in 17 of the 29 anlyzed townships. 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 Surface Waters Extent and Evolution in Binh Dinh Province

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: December 13, 2016-December 13, 2016 ... More

This dataset updates: Never

This map illustrates the satellite-detected surface waters extent and evolution in Binh Dinh Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zone, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,000 ha of surface water were observed the 07 November 2016 and reached ~49,400 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 90 % : An Nhon District (+5,950 ha), Tuy Phuoc District (+3,900 ha), Phu Cat District (+3,500 ha), Tay Son District (+3,200 ha), Phu My District (+3,000 ha) and Hoai An District (+2,000 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Geodata of Damage Assessment of Aliabad Area, Hunza Nagar District, Pakistan

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: November 05, 2015-November 05, 2015 ... More

This dataset updates: Never

This map illustrates satellite-detected damage and destruction in the Aliabad area of Hunza Nagar District, Pakistan and located roughly 350 km east of the 26 October 2015 earthquake epicenter. Using a Pléiades satellite image acquired 31 October 2015 and a WorldView-2 image acquired 12 August 2015, UNITAR-UNOSAT identified 55 potentially damaged structures. 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 Waters Evolution in Central Bangladesh -...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: July 29, 2016-July 29, 2016 ... More

This dataset updates: Never

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

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Geodata of Affected Mining Areas along Kahayan River, Central Kalimantan, Indonesia

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: March 04, 2016-March 04, 2016 ... More

This dataset updates: Never

This map illustrates affected mining areas along Kahayan River in Central Kalimantan Province, Indonesia. It is derived from Landsat-5 and Landsat-8 multispectral imagery acquired on 7 August 2005 and 3 August 2015 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 7 August 2005 and 3 August 2015 within the region analyzed. 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 Update: Al Zaatari Refugee Camp, Mafraq Governorate, Jordan

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: December 08, 2015-December 08, 2015 ... More

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 12 October 2015 a total of 26,963 shelters were detected as well as 2,130 infrastructure and support buildings within the 534.4 hectares of the camp. Between 26 April 2015 and 12 October 2015, a total of 4,310 shelters closed or were moved, and a total of 2,296 shelters were constructed, and the number of shelters has thus decreased by about 2,268 since the previous UNITAR-UNOSAT assessment. This indicates an approximate 7.76% decrease in the number of shelters between 26 April 2015 and 12 October 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.

Geodata of Damage Assessment of Jilah Village, Shabwah Governorate, Yemen

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: November 06, 2015-November 06, 2015 ... More

This dataset updates: Never

This map illustrates satellite-detected damage and destruction in Jilah village, Shabwah Governorate, Yemen. Using satellite imagery acquired 5 November 2015 and comparing with imagery collected on 22 August 2015, UNITAR - UNOSAT identified an area severely affected by flash flood resulting from rains during Cyclone Chapala. Imagery shows that the town of Jilah is partially covered by mud and a total of 150 structures appear damaged. Approximately 58 of these were destroyed, 57 severely damaged, and 35 moderately damaged. Primary road N4 is also highly affected by mud as a consequence of the flash floods and it is impassable across several sections. 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...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: July 28, 2016-July 28, 2016 ... More

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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Satellite Detected Surface Waters Extent and Evolution in Quang Nam Province

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: December 09, 2016-December 09, 2016 ... More

This dataset updates: Never

This map illustrates the satellite-detected surface waters extent and evolution in Central and Eastern Quang Nam Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zones representing 75% of the total province area, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,200 ha of surface water were observed the 07 November 2016 and reached ~39,000 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 50 % : Thang Binh District (+5,300 ha), Nui Thanh District (+2,800 ha), Tam Ky Township (+1,530 ha) and Phu Ninh District (+1,140 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Atmeh IDP settlement shelter density in Dana Subdistrict, Harem District,...

United Nations Satellite Centre (UNOSAT)

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Time Period of the Dataset [?]: November 28, 2017-November 28, 2017 ... More

This dataset updates: Never

This map illustrates density of satellite-detected shelters and other buildings at the Atmeh Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 14,569 shelters were detected as well as 217 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 88% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 7,684 and the number of infrastructure and support buildings was 171 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.

Syrian Arab Republic - Shelter density map at Rukban border crossing

United Nations Satellite Centre (UNOSAT)

20+ Downloads

Time Period of the Dataset [?]: May 01, 2017-May 01, 2017 ... More

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 WorldView-3 satellite on 29 April 2017, UNOSAT located 8,382 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 22.9 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 17 February 2017. 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.

Geodata of Land Cover Classification along Kahayan River, Central...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: March 04, 2016-March 04, 2016 ... More

This dataset updates: Never

This map illustrates a land cover classification along Kahayan River in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 3 August 2015 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. 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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