Damage Assessment in Providencia Island, Providencia and Santa Catalina Department, Colombia as of 21 November 2020

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Buildings and infrastructureColombia
Colombia

About this dataset

**UNOSAT code: TC20201123COL** This map illustrates potentially damaged structures and buildings in Providencia Island, Providencia and Santa Catalina Department of Colombia as detected by satellite image acquired after landfall of the Tropical Cyclone IOTA on 17 November 2020. UNITAR-UNOSAT analysis used a WorldView-2 image acquired on 21 November 2020 as a post-event image. Within the Island boundary, UNITAR-UNOSAT identified in the cloud-free zones 1,110 damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 90% of the total number of structures within the analyzed cloud-free areas.

Documentation

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. 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.

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