OCHA Myanmar
Updated February 6, 2018
| Dataset date: Nov 29, 2014
Administrative boundary, admin level 1 = state and region , admin level 2 = district and admin level 3 = township. The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.
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 satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 18 August 2016 revealed a total of 8,706 shelters as well as 345 infrastructure and support buildings within the compound. This represents an increase of approximately 2.7 percent in shelters and an increase of roughly 50 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 spatial dataset provides the delimitation and composition of the Afghanistan administrative boundaries (levels 0 - 3) and forms one of the Common Operational Datasets (COD) for the humanitarian community. It comprises of polygons of 399 district boundaries (level 2), 34 province boundaries (level 1) and the national boundary. The UNAMA region boundary available in this dataset is not an official administrative level and is included as a reference for operational purposes. The dataset is attributed with the Afghanistan Geodesy and Cartography Head Office (AGCHO) p-codes and names (Dari and English) was obtained from AGCHO on 25 September 2012.
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.
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 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.
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.
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.
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.
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.
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
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 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
