Évaluation des dégats à Adassil, région de Chichaoua, province de Marrakech-Safi, Maroc, au 10 Septembre 2023

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Buildings and infrastructureMorocco
Morocco

About this dataset

**UNOSAT code EQ20230909MAR, GDACS Id: 1390643** Cette carte illustre les structures/bâtiments potentiellement endommagés par le séisme de magnitude 6,8 d’ Adassil/Mjdid du 8 Septembre 2023 à 22h11 UTC (à 75 km au SO de Marrakech) tel qu'observé à partir d'une image satellite Pléiades acquise le 10 Septembre 2023. Dans ce secteur d’analyse, UNOSAT a identifié 216 bâtiments endommagés et/ou potentiellement endommagés. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires au Centre Satellitaire des Nations Unies (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.

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