Find - Buildings, Cyclone Chido (2)

Find
Finished
Mozambique
HOT
Dec 18, 2024
Find - Buildings, Cyclone Chido (2)

Project overview

On Saturday 14 December, Cyclone Chido made landfall south of the city of Pemba in Mozambique as a Category 4 cyclone. Please help to identify buildings in this rural area of Mozambique so that they can be rapidly mapped to support the response and recovery efforts. At least 45 people have been killed and 319 were injured in Mozambique, and an estimated two million people are estimated to have been affected. Nearly 35,000 homes have been destroyed or severely damaged. Damage in rural areas is reportedly much more severe.

2090
km2
230
Contributors
Project Completion
100% completed
020406080100Dec 23, 24Dec 25, 24Dec 27, 24Dec 29, 24Dec 31, 24Jan 02, 25
Last updated: Jan 17, 2025, 12:04:40 AM

Download the data

Below you'll find the data downloads for this MapSwipe project, including a GeoJSON file that can be imported into the HOT Tasking Manager for more detailed mapping of the area. If you need more information or if you have a special request related to MapSwipe data get in contact with the team at the Heidelberg Institute for Geoinformation Technology
Aggregated Results
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
csv
2.9 MB
Download
Aggregated Results (with Geometry)
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
geojson
2.9 MB
Download
HOT Tasking Manager Geometries
This dataset contains shapes that are ready to use in the HOT Tasking Manager. Currently, the geometries consist of maximum 15 MapSwipe Tasks, where at least 35% of all users indicated the presence of a building by classifying as "yes" or "maybe"
geojson
0.2 MB
Download
Moderate to High Agreement Yes Maybe Geometries
This dataset contains all results where at least 35% of users submitted a "yes" or "maybe" classification. The output dataset depicts the union of all selected results.
geojson
0.5 MB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
csv
4.7 kB
Download
History
History
geojson
1.2 kB
Download
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
csv
2.2 MB
Download
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
csv
2.6 MB
Download
Users
This dataset contains information on the individual contributions per user. This tells you for instance the most active users of this project. (Note that you need to unzip this .gz file before you can use it.)
csv
11.1 kB
Download
Area of Interest
This dataset contains information on the project region.
geojson
53.7 kB
Download

Our license

This project is part of the OpenStreetMap community. The goal is high-quality geographical data, freely accessible and available to everyone. OSM’s reciprocal license protects the data from being appropriated by services that do not share back to OSM.

MapSwipe is released under a "liberal" non-reciprocal license (Creative Commons Attribution). Whenever you want to use the data, just make sure to credit the MapSwipe contributors.