Buildings of Ukraine

**UNOSAT code CE20220223UKR** This map illustrates a satellite imagery based building damage assessment in the city of Kremenchuk, Ukraine. Based on imagery collected on 29 June 2022, the analysis showed 26 structures with visible damage. Out of these, 1 is destroyed, 7 severely damaged, 3 moderately damaged and 15 possibly damaged. Inset 1 shows a building identified as severely damaged on 29 June 2022. While no complete count of buildings for Kremenchuk is available, an open source dataset, which is visibly incomplete, indicates at least 19,209 structures in the area. This analysis is based on visibly damaged structures as of 29 June 2022, as seen in marginally degraded satellite imagery affected by light clouds and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: CE20220223UKR** This map illustrates a satellite imagery based damage analysis within an area of interest (AOI) in the residential area of Mariupol City, Ukraine. Based on imagery collected on 14 March 2022 and 21 June 2021, analysts found that 773 out of 17,594 structures sustained visible damage in the AOI. This represents approximately 4% of the structures. Out of these, 62 are destroyed, 315 severely damaged, 321 moderately damaged and 75 possibly damaged. This includes 8 schools and 4 health facilities. This analysis is based on structures visibly damaged as of 14 March 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: CE20220223UKR** This map illustrates a satellite imagery based damage analysis within an area of interest (AOI) in the residential area of Mariupol City, Ukraine. Based on imagery collected on 7, 8, 12 May 2022 and 14 March 2022, and 21 June 2021, analysts found that 5,647 structures sustained visible damage in the AOI. This represents approximately 32% of the structures. Out of these, 315 are destroyed, 2,132 severely damaged, 3,002 moderately damaged and 194 possibly damaged. Compared to the 14 March 2022 analysis, 5% of previously affected buildings sustained additional damage, and the total damage has increased by 28%, with 4,910 new damaged buildings. While no complete count of buildings for Mariupol is available, an open source dataset, which is visibly incomplete indicates at least 17,568 structures in the area. This analysis is based on structures visibly damaged as of 12, 8, 7 May 2022 and 14 March 2022 as seen in marginally degraded satellite imagery. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

**UNOSAT code: CE20220223UKR** This map illustrates a satellite imagery-based Rapid Damage Building Assessment (RDBA) of the Mariupolska Hromada, Ukraine. The RDBA divides the city into 500m x 500m cells, each of which is analyzed to determine whether or not there are damaged buildings inside the cell. Based on imagery collected on 26 March 2022, analysts found that 556 cells out of 3,456 sustained visible damage. This represents approximately 16% of the cells over the Hromada. Note that not all 6,456 cells include buildings. Numerous craters are also visible in the fields but were not taken into account for this analysis. This analysis is based on structures visibly damaged as of 26 March 2022 as seen in marginally degraded satellite imagery affected by precipitation, seasonality, and other limiting factors. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Assets used to protect the coast from erosion or provide access. Asset Sub-Types include: Breakwater, Groyne, Ramp, Slipway, Steps See the Data Requirements Library for more detail: https://environment.data.gov.uk/asset-management/drl-app/asset-types PLEASE NOTE: This data is updated daily. Depending on the chosen download format, it may take 2-3 minutes to download the full national dataset. Data is generated from the Asset Information Management System which holds records of assets associated with flood defences. Click Here to go straight to the DSP Metadata Page for this Dataset.