Find Features - Find Buildings Chanal - Mexico (1) Humanitarian OpenStreetMap Team
Find Features
Finished
Mexico
Humanitarian OpenStreetMap Team
Jun 17, 2026

Project overview
Chanal, located in the mountainous highlands of Chiapas, Mexico, faces very high risks of flooding, landslides, and extreme weather. Because the region is mountainous and heavily deforested, heavy seasonal rainfall easily triggers overflowing rivers and catastrophic mudslides
The municipality’s risk profile is heavily exacerbated by its socio-economic conditions. As of local government evaluations, over 96% of Chanal's population lives in poverty. This high level of social marginalization often forces residents to live in precarious housing and remote areas that are highly vulnerable to environmental shocks
By identifying on MapSwipe buildings and settlements, volunteers support better emergency preparedness and inclusive territorial planning, making remote communities visible and reducing vulnerabilities
This initiative shows how digital mapping can empower Indigenous communities, reduce vulnerability, and support the long-term sustainability of the Amazon through data-driven action.
Mapswipe results will be used during [Annual National Anticipatory Mapathons (MANA)](https://www.hotosm.org/en/news/anticipatory-annual-mapathons-innovation-and-collaboration-to-close-mapping-gaps-in-latin-america-and-the-caribbean/), these are an innovative strategy to close mapping gaps in Latin America and the Caribbean, strengthening risk prevention and management.
You can check some of the related projects [here](https://www.hotosm.org/en/projects/participatory-mapping-for-a-sustainable-amazon/)
This file is licensed under the [Creative Commons Attribution-Share Alike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/deed.en) license by
Tatehuari
7
km2
41
Contributors
Project Completion
100% completed
Last updated: Jun 18, 2026
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.)
GZIP
14.6 kB
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.)
GZIP
16.7 kB
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.5 kB
History
History
CSV
0.3 kB
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
GZIP
43.7 kB
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
GZIP
12.3 kB
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.)
GZIP
2 kB
Area of Interest
This dataset contains information on the project region.
GEOJSON
0.7 kB
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
8.6 kB
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
6 kB
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.
