Satellite-detected damage in Île de Mozambique as of 18 March 2025

✦ DISCOVERED BY ORIONAIUnited Nations Satellite Centre (UNOSAT)Imagery and land coverMozambique
Mozambique

About this dataset

**UNOSAT code: TC20250308MOZ, GDACS ID: 1001154** This map shows the locations where damage was detected based on a very high resolution satellite image collected 18 March 2025 when compared to very high resolution imagery by Airbus from October 2023 and February 2024 (south only), available through Google Earth Pro. Between October 2023 and March 2025, multiple cyclones have passed over Île de Mozambique. Across the Île de Mozambique, 78 damaged buildings were detected and accumulations of sand indicative of prior flooding were observed on roads and in public spaces. 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).

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
Building Damage Assesment in Sambene, Nanguasse & Muinde villages, Mecufi Posto, Mecufi District as of 17 December 2024

**UNOSAT code: TC20241212MOZ, GDACS ID: 1001131** This map illustrates affected structures in Mecufi Posto, Mecufi District, Cabo Delgado Province as observed from a Pleiades satellite image acquired on 17 December 2024 at 07:51 Local Time. Within the analysed area, UNOSAT identified 2,433 destroyed structures and 1,684 damaged structures amongst a total of 4,118 structures observed. 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).

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Building Damage Assesment in Sicura & Murrebe Town, Murrebue Posto, Mecufi District as of 16 December 2024

**UNOSAT code: TC20241212MOZ, GDACS ID: 1001131** This map illustrates affected structures in Murrebue Posto, Mecufi District, Cabo Delgado Province as observed from a Pleiades satellite image acquired on 16 December 2024 at 07:58 Local Time. Within the analysed area, UNOSAT identified 3,367 destroyed structures and 613 damaged structures amongst a total of 3,982 structures observed. 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).

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Satellite detected water extents between 15 and 19 March 2023 over Inhambane, Sofala, Tete and Zambezia Provinces, Mozambique

**UNOSAT code TC20230221MOZ, GDACS Id: 1000961** This map illustrates cumulative satellite-detected water using VIIRS in Mozambique between 15 to 19 March 2023. Within the cloud free analyzed areas of about 600,000 km², a total of about 21,000 km² of lands appear to be affected with flood waters. Based on Worldpop population data and the maximal flood water extent ~1,400,000 people are potentially exposed or living close to flooded areas. 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).

Water · United Nations Satellite Centre (UNOSAT)
ViewSave
Damage Assessment in Chichaoua, Marrakech-Safi Region, Morocco as of 10 September 2023

**UNOSAT code EQ20230909MAR, GDACS Id: 1390643** This map illustrates potentially damaged structures/buildings by the M6.8 Chichaoua earthquake (70 km SW Marrakesh) of 08 September 2023 (22:11 UTC) as detected by using a Pleiades very high-resolution satellite image acquired on 10 September 2023. Within map extent, UNOSAT identified 271 damaged/potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Damage Assessment in Douar Tagadirte (Igermane), Chichaoua Province, Marrakech-Safi Region, Morocco as of 10 September 2023

**UNOSAT code EQ20230909MAR, GDACS Id: 1390643** This map illustrates potentially damaged structures/buildings by the M6.8 Adassil/Al Haouz earthquake (70 km SW Marrakesh) of 08 September 2023 (22:11 UTC) as detected by using a Pleiades very high-resolution satellite image acquired on 10 September 2023. Within map extent, UNOSAT identified 77 damaged/potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Buildings and infrastructure · United Nations Satellite Centre (UNOSAT)
ViewSave
Damage Assessment in Anguilla Island as of 8 September 2017

This dataset illustrates satellite-detected potential damaged buildings in Anguilla Island, following the landfall of Tropical Cyclone IRMA-17 on September 6, 2017. The UNITAR-UNOSAT analysis used a Kompsat-3 satellite image acquired on 9 February 2017 and WorldView-2 image acquired on 5 July 2017 as pre-imagery and Pleiades satellite imagery acquired on the 7 & 8 September 2017 as a post-imagery. The UNITAR-UNOSAT analysis identified 2,147 potentially damaged structures within the analyzed area that was not covered by clouds. According to the pre-building footprints, inside the area free of clouds, provided by Humanitarian Open Street Map, this represents 42% of potentially affected structures in Anguilla.

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