Damage density of Deir Ez Zor, Deir Ez Zor Governorate, Syria

  • This dataset updates: Live


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This map illustrates satellite-detected damage density in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 9 November 2017, 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 6,348 affected structures within the city. Approximately 1,144 of these were destroyed, 2,348 severely damaged, and 2,856 moderately damaged. While much of the city was damaged by 25 May 2016, 1,859 structures were newly damaged and 386 structures experienced an increase in damage between that date and 9 November 2017. This analysis does not include pre-war military bases and facilities. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.


Date of Dataset Nov 28, 2017
Expected Update Frequency Live

UNOSAT datasets and maps are produced using a variety of methods. In general, analysts closely review satellite imagery, often comparing two or more images together, and determine notable changes between the images. For damage assessments, refugee or IDP assessments, and similar analyses, these changes are then manually documented in the vector data by the analyst. For flood extractions, landcover mapping and similar analyses, a variety of automated remote sensing techniques are used to extract the relevant information which is then reviewed and revised as necessary by the analyst. In all cases, resulting data is then loaded into a standardized UNOSAT geodatabase and exported asshapefiles for dissemination.

Caveats / Comments

This is a preliminary assessment and has not yet been validated in the field. It is important to consider the characteristics of the source imagery used in the analyses when interpreting results. For damage assessments it should be noted that only significant damage to the structural integrity of the buildings analyzed can be seen in imagery, while minor damage such as cracks or holes may not be visible at all. For flood extractions using radar data it is important to note that urban areas and highly vegetated areas may mask the flood signature and result in underestimation of flood waters. Users with specific questions or concerns should contact unosat@unitar.org to seek clarification.