Damage Assessment in Imias area,Guantanamo province, Cuba

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Buildings and infrastructureCuba
Cuba

About this dataset

This map illustrates potential satellite-detected damaged structures in Imias and the surrounding area in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 10 October 2016, and identified 552 damaged structures within the map extent and 603 damaged structures in the covered area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

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.

Related datasets

✦ Suggested by OrionAI
Cuba - Damage Assessment in Cajobabo and surrounding area

This map illustrates potential satellite-detected structures in Cajobabo town and the surrounding area in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 7 of October, 2016. The analysis identified 450 damaged structures within the map extent of which 211 were identified inside the town of Cajobabo. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Cuba - Damage Assessment in Maisi town and surroundings

This map illustrates potential satellite-detected damaged structures in Maisi town and the surrounding area in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 7 October 2016, and identified 417 damaged structures within the map extent; 230 were identified inside the town of Maisi .This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Cuba - Damage Assessment in Baracoa town, Guantanamo province

This map illustrates potential satellite-detected damaged structures in Baracoa town, in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 11 October 2016, and identified 3,147 damaged structures inside the town of Baracoa.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Hurricane Matthew Preliminary Satellite Based Damage Assessment Report: Guantanamo Province, Cuba

This report describes preliminary building damage analysis carried out by UNITAR-UNOSAT covering the towns and its surrounding areas over Baracoa, Maisi, Imias, and Cajobabo. Building damage analysis was conducted with the post-disaster satellite images (Pleiades acquired on 7/10/2016, 10/10/2016, and 11/10/2016).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
ViewSave
Damage Assessment in Barbuda Island as of 8 September 2017

This dataset illustrates satellite-detected potential damaged buildings in Barbuda Island following the landfall of Tropical Cyclone IRMA-17 on September 6, 2017. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired on 8 September 2017 as post imagery. The UNITAR-UNOSAT analysis identified 1,071 potentially damaged structures within Codrington town in Barbuda. According to the pre-building footprints provided by Humanitarian Open Street Map, this represents 89% of potentially affected structures in Codrington town. The analysis could have been underestimated due to cloud cover. This is a preliminary analysis and has not yet been validated in the field.

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Haiti - Damage Assessment Overview of Dame Marie and Anse d'Hainault Areas, Grande Anse & Sud Departments

This map illustrates potentially damaged satellite-detected areas, related damage density and the identified road obstacles in the southwestern part of Haiti in Grande Anse and Sud departments, Haiti. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired on the 12 October 2016. The UNITAR-UNOSAT analysis combined with Copernicus analysis, identified 9,173 potentially damaged structures within this map extent. Additionally, 123 road obstacles and 255 population gathering sites within this area were identified in the analysis. Please note that some areas were cloud covered and could not be analysed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave

Indexed by OrionGIS from Humanitarian Data Exchange (HDX). Data is loaded from the publisher's own server when you use it. Permanent link