Cyclone Damage Analysis (2)

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Finished
Mahanoro, Madagascar
Médecins Sans Frontières
Apr 27, 2022
Cyclone Damage Analysis (2)

Project overview

New project type!

Welcome to a new type of project to detect change in an area that was hit by a cyclone. Please use the tutorial to learn how to contribute.

** Project description**

The eastern coast of Madagascar was hit by four devastating cyclones early 2022, killing a total of 205 people. Over 420 000 people have been affected, and MSF is responding to critical medical needs – including water and sanitation services, mobile clinics, and the reconstruction of damaged hospitals and clinics.

22
km2
63
Contributors
Project Completion
100% completed
020406080100Apr 27, 22Apr 27, 22Apr 27, 22Apr 27, 22Apr 27, 22Apr 28, 22
Last updated: Oct 8, 2024, 12:19:07 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
44.2 kB
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
47.6 kB
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
13.1 kB
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
26.4 kB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
csv
0.5 kB
Download
History
History
geojson
0.4 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
39.5 kB
Download
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
csv
34.8 kB
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
2.6 kB
Download
Area of Interest
This dataset contains information on the project region.
geojson
1 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.